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00M-670 IBM SVP Primary uphold Provider Mastery Test v1

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00M-670 exam Dumps Source : IBM SVP Primary uphold Provider Mastery Test v1

Test Code : 00M-670
Test title : IBM SVP Primary uphold Provider Mastery Test v1
Vendor title : IBM
: 25 real Questions

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IBM IBM SVP Primary Support

IBM’s ‘huge wager’ on Kubernetes is unifying cloud providers across systems | killexams.com real Questions and Pass4sure dumps

Navigating cloud computing services will moreover subsist problematic, especially when they arrive from diverse suppliers. therefore, establishing a much groundwork turns into much more crucial in retaining a hit operations across nowadays’s multicloud landscape. For IBM, that basis is Kubernetes, the open-supply device for managing containerized utility applications at scale.

“IBM has taken a tall wager on Kubernetes two and a half years ago,” spoke of Daniel Berg (pictured), uncommon engineer, IBM Cloud Kubernetes service, at IBM. “[We] not ever truly appeared again; it’s their basic foundation for their platform features.”

Berg spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the IBM suppose undergo in San Francisco. They mentioned IBM’s Kubernetes functions and the company challenges of relocating operations between inner most and public clouds. (* Disclosure beneath.)

Bridging the multicloud gap

The IBM Cloud Kubernetes service presently has two distributions: IBM Cloud inner most, or ICP, which operates on-premises, and a managed service in the public cloud. So, what are the merits of completely retaining a personal cloud with Kubernetes? The container administration platform modernizes and organizes years-old content.

“We’ve modernized it, Put it in containers, set up it, and control it on Kubernetes. The first-class issue is that content which you can convey on-premises where it’s essential the most and Run it in ICP — and moreover pick that and Run it in their public cloud,” Berg explained.

Kubernetes is convenient to deploy, installation, and fetch started. despite the fact, it is not devoid of its complications. With enhanced proliferation comes more desirable problem in managing the diverse clusters, Berg pointed out. “There are nevertheless some complexities, as a result of … you’ve obtained building clusters; you’ve obtained test clusters,” he said.

To alleviate the challenge, IBM launched a original product referred to as Multicloud manager, which gives a manage airplane to manage components throughout many different clouds and disparate platforms. it really works with ICP and IBM Kubernetes service however is additionally suitable with Amazon, Google, Azure and OpenShift. Multicloud manager moreover helps with safety compliance and enforcement, so it gives safety anyplace it's lacking.

For businesses finding it under feasible to hold consistency and necessities while customizing for inevitable data wants, Berg stated the benefits of numerous distributions. “in order for you whatever thing that’s tremendously, enormously specific to a given exercise case or you fill transformations to your infrastructure that you should fill extra flexibility, that’s the site IBM Cloud inner most comes in,” he noted.

Two clouds are greater than one

relocating to public cloud in a single fell swoop is a Herculean project, even for tall corporations such as Amazon and Google. this is where hybrid cloud is available in. In IBM’s case, it combines ICP and OpenShift to provide OpenShift clients IBM’s content material, built-in monitoring, and integrated logging onto the platform for which they are already standardized.

“as a result of they constructed and are standardized on Kubernetes, they supply Kubernetes carrier and they carry out that at scale and relaxed, in addition to extremely accessible,” Berg cited.

Berg did forewarn towards using just one cloud vendor, and he moreover advised groups to subsist constant in what they wish out of their suppliers. “but the aspect that clients carry out deserve to examine, and what they carry out should standardize throughout an business, is a few of the core tenets and core applied sciences,” he introduced.

Visibility into workloads is moreover vital to a corporation’s operations, Berg explained. And IBM Cloud Monitoring does this. The instrument isn't wonderful to Kubernetes, both. fairly, it can subsist extended into digital machines and different forms of workloads. IBM’s monitoring is greatly helped by means of its partnership with Sysdig Inc., Berg introduced.

“you can’t build a cloud-native solution without monitoring, correct? Monitoring and log … it’s dote peanut butter and jelly. You’ve got to fill them,” Berg concluded.

Watch the comprehensive video interview beneath, and subsist sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the IBM assume event. (* Disclosure: IBM subsidized this section of theCUBE. Neither IBM nor different sponsors fill editorial manage over content on theCUBE or SiliconANGLE.)

photograph: SiliconANGLE on the grounds that you’re perquisite here …

… We’d want to inform you about their mission and how that you can assist us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in response to the intrinsic value of the content, now not advertising. not dote many online publications, they don’t fill a paywall or Run banner advertising, because they want to hold their journalism open, with out fill an consequence on or the need to chase site visitors.The journalism, reporting and commentary on SiliconANGLE — together with are living, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — pick a lot of arduous work, time and money. retaining the satisfactory extreme requires the abet of sponsors who're aligned with their vision of ad-free journalism content.

if you dote the reporting, video interviews and different advert-free content material perquisite here, please pick a second to pick a study at a pattern of the video content supported through their sponsors, tweet your guide, and maintain coming returned to SiliconANGLE.


Skytap declares Upcoming accepted Availability of First Self-carrier, Public Cloud Capabilities for IBM i | killexams.com real Questions and Pass4sure dumps

No consequence found, are trying original key phrase!SEATTLE, Feb. 11, 2019 /PRNewswire/ -- forward of IBM suppose, Skytap, a world, intention-constructed public cloud company, today announced that its assist for the IBM i operating ... remedy," spoke of Karri Alexio...

IBM: A Future Blockchain chief? | killexams.com real Questions and Pass4sure dumps

No outcomes found, try original keyword!(supply: IBM website) at present, IBM reports it has three basic desires in its blockchain method ... furthermore, IBM’s specialists within the box present further usher for those drawn to the technol...

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Java Cryptography | piece 3 | killexams.com real questions and Pass4sure dumps

After you fill secured your private electronic information using encryption and erudite how to encrypt and digitally token files for others, how carry out you extract the information and determine who encrypted the file? Asymmetric public/private key encryption allows you to decipher the information and verify the accompanying digital signature if it exists.

This article illustrates how to decrypt and verify the digital signature on files encrypted using a hybrid combination of asymmetric public/private key encryption and symmetric encryption. A symmetric key is used to encrypt the file and the asymmetric public key encrypts the symmetric key. The asymmetric private key decrypts the symmetric key which in circle is used to decrypt the encrypted file.

Figure1: Asymmetric Key Encryption Functions

The identical pair of keys can subsist used with digital signatures. The private key is used to token a file and generate a digital signature. The public key is used to verify the authenticity of the signature.

Figure 2: Asymmetric Key Signature Functions

The decryption technique requires the Java libraries developed by the Legion of the Bouncy Castle (www.bouncycastle.org). The Bouncy Castle jars, bcprov-jdk15on-147.jar and bcpkix-jdk15on-147.jar, contains every bit of the methods required to encrypt, decrypt, token and verify a digital signature. The following Java code snippet loads the BouncyCastle provider, which implements the Java Cryptography Security services such as algorithms and key generation.

import org.bouncycastle.jce.provider.*;java.security.Security.addProvider(new BouncyCastleProvider());

Decryption for Files or Java ObjectsOnce a file has been encrypted and/or signed using the DocuArmor application, it can subsist deciphered by the owner of the matching asymmetric private key. The process involves reading the header, extracting the symmetric key and deciphering the appended encrypted data. The following steps along with the Java code snippets illustrate the process used to decrypt an encrypted file.

Step 1: Assume you want to decrypt the encrypted file, C:\sampleFile.txt.jxdoe_nnnn.asg and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the encrypted file. Read the header from the encrypted file and determine decrypted output name.

File tSrcFile = original File("C:\\sampleFile.txt." + tUniqueAlias + ".aes");String tDecryptFile = tSrcFile.getName();tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));OutputStream tFileOStream = original FileOutputStream(tDecryptFile);DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;

Step 2: The private key is stored in a Java key store and is password protected. Load the key store using your password. Retrieve the asymmetric private key from the key store using the identical password. The asymmetric private key will subsist used to decrypt the symmetric key.

FileInputStream tFIStream = original FileInputStream("C:\\jxdoe_nnnn.jks");KeyStore tMyKStore = KeyStore.getInstance("JKS", "SUN");char[] tPW = "password".toCharArray();tMyKStore.load(tFIStream, tPW);PrivateKey tPrivKey = (PrivateKey)tMyKStore.getKey("jxdoe_nnnn", tPW);

Figure 3: Private Key

Step 3: Generate a Java Cipher expostulate using the asymmetric private key and set its mode to "Cipher.UNWRAP_MODE".

Cipher tCipherRSA = Cipher.getInstance("RSA", "BC");tCipherRSA.init(Cipher.UNWRAP_MODE, (PrivateKey)tPrivKey);

Step 4: exercise the Java Cipher and asymmetric private key to unwrap the symmetric key. It's located in the header at the instance variable, wrappedSymKey or wrappedSymKeyOther, along with symmetric algorithm at symKeyAlgDesc. The symmetric key will subsist used to decrypt the file.

String tAlg = tHead.symKeyAlgDesc();Key tSymmetricKey =tCipherRSA.unwrap(tHead.wrappedSymKey(),tAlg, Cipher.SECRET_KEY);

Figure 4: Unwrap Symmetric Key

Step 5: Re-initialize the identical Cipher to Cipher.DECRYPT_MODE. exercise the Cipher and the asymmetric private key to decrypt the initialization vector stored within the header at the instance variable initVector or initVectorOther.

tCipher.init(Cipher.DECRYPT_MODE, (PrivateKey)tPrivKey);byte[] tInitVector = tCipher.doFinal(tHead.initVector());IvParameterSpec tIvParmSpec = original IvParameterSpec(tInitVector);

Figure 5: Unwrap Initialization Vector

Step 6: Generate a Java Cipher expostulate using the symmetric key and initialization vector and set its mode to "Cipher.DECRYPT_MODE". The string representing the symmetric algorithm, mode and padding can subsist extracted from the Cryptography header using the "transformation" method.

tCipherDecrypt = Cipher.getInstance("AES/CTR/PKCS7Padding", "BC");or tCipherDecrypt = Cipher.getInstance(tHead.transformation(), "BC");tCipherDecrypt.init(Cipher.DECRYPT_MODE, tSymmetricKey, tIvParmSpec);

Step 7: exercise the Java Cipher to decrypt the repose of the file to a Java FileOutputStream. The DataInputStream points to the start of the encrypted data after reading the header. The finish result is a decrypted file.

byte[] tInBuffer = original byte[4096];byte[] tOutBuffer = original byte[4096];int tNumOfBytesRead = tDInStream.read(tInBuffer);while (tNumOfBytesRead == tInBuffer.length) {//-Encrypt the input buffer data and store in the output bufferint tNumOfBytesUpdated =tCipherDecrypt.update(tInBuffer, 0, tInBuffer.length, tOutBuffer);tFileOStream.write(tOutBuffer, 0, tNumOfBytesUpdated);tNumOfBytesRead = tDInStream.read(tInBuffer);}//-Process the remaining bytes in the input file.if (tNumOfBytesRead > 0) {tOutBuffer = tCipherDecrypt.doFinal(tInBuffer, 0, tNumOfBytesRead);} else {tOutBuffer = tCipherDecrypt.doFinal();}tFileOStream.write(tOutBuffer, 0, tOutBuffer.length);tFileOStream.close();

Figure 6: Decipher the Encrypted File

Step 7a: If the encrypted file contains a Java object, exercise the Java Cipher to decrypt the repose of the file to a Java ByteArrayOutputStream instead of a FileOutputStream. The finish result can subsist converted to an instance of its original Java class.

ByteArrayInputStream tBAIS = original ByteArrayInputStream(tBAOS.toByteArray());  ObjectInput tOIS = original ObjectInputStream(tBAIS);Object tObject = tOIS.readObject();  //-Original Java objecttBAOS.close();tBAIS.close();tOIS.close();

Alternatively, the identical technique can subsist used to decrypt the encrypted file using the symmetric key that was wrapped with the CA or owner's asymmetric public key. If the file was encrypted for another user, the owner can decrypt it using the additionally wrapped symmetric key. If the file was encrypted for oneself, the CA can decrypt it using the additionally wrapped symmetric key in the enterprise version.

Signature VerificationWhen a file has been digitally signed with a user's asymmetric private key, the signature is stored in the Cryptography header. The signature can subsist validated with the user's matching asymmetric public key stored in a certificate. The process involves reading the header, extracting the digital signature and validating it against the repose of the signed file and the asymmetric public key. The following steps relate the process used to verify a digital signature.

Step 1: Assume you want to verify the signature on the encrypted and digitally signed file, "C:\sampleFile.txt.jxdoe_nnnn.asg" and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the file. Read the header from the signed file. After the header is read, uphold in understanding that the DataInputStream now points to the ascend of the encrypted data.

File tSrcFile = original File("C:\\sampleFile.txt." + tUniqueAlias + ".asg");DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;byte[] tCurrSignature = tHead.signature();

Step 2: Retrieve the certificate whose title is stored in the header and contains the asymmetric public key needed for verification. Retrieve the asymmetric public key from the certificate associated with the digital signature.

String tCertName = "C:\\" + tHead.verifySigCertName();InputStream tInStream = original FileInputStream(tCertName);CertificateFactory tFactory = CertificateFactory.getInstance("X.509","BC");X509Certificate tCert =(X509Certificate)tFactory.generateCertificate(tInStream);tInStream.close();PublicKey tPubKey = tCert.getPublicKey();

Figure 7: Extract Public Key

Step 3: Instantiate a Java signature engine and initialize it with the signature algorithm stored in the header and the asymmetric public key. The default value is "SHA512WithRSAEncryption".

Signature tSgnVerifyEngine = null;String tSigAlg = tHead.signatureAlgDesc();tSgnVerifyEngine = Signature.getInstance(tSigAlg,"BC");tSgnVerifyEngine.initVerify(tPubKey);

Step 4: exercise the Java signature engine to process the repose of the signed file and device a hash number that will subsist compared with the signature stored in the header.

int tBlockSize = 4096;byte[] tBuffer = original byte[tBlockSize];int tLength = tDInStream.read(tBuffer);while (tLength == tBlockSize) {tSgnVerifyEngine.update(tBuffer, 0, tBlockSize);tLength = tDInStream.read(tBuffer);} if (tLength > 0) {tSgnVerifyEngine.update(tBuffer, 0, tLength);}

Step 5: After the file has been processed, exercise the Java signature engine to verify its result with the digital signature. A Boolean result is returned on whether the signature was valid.

Boolean tResult = tSgnVerifyEngine.verify(tCurrSignature);

SummaryThe article demonstrates how to decrypt and verify the digit signature of and encrypted file using Java Cryptography methods and the Cryptography libraries from Bouncy Castle organization. Using the information provided within the Cryptography header, the user can validate who encrypted its contents and/or decipher the encrypted file. The header moreover provides the flexibility to expand the usage of Cryptography such as allowing multiple recipients to decrypt a file by using each of their public keys to encrypt the identical symmetric key. As society adopts file encryption as a standard passage of protection, more creative uses will subsist invented by future Cyber warriors.

The source code (LaCryptoJarSample.java) is available on the analytic Answers Inc. website under the education web page as an individual file and moreover within the zip file, laCrypto-4.2.0.zipx.

References and Other Technical NotesSoftware requirements:

  • Computer running Windows XP or higher...
  • Java Runtime (JRE V1.7 or higher)
  • Recommended reading:

  • "Beginning Cryptography with Java" by David Hook.
  • "The Code Book" by Simon Singh

  • Avoid Bothersome Garbage Collection Pauses | killexams.com real questions and Pass4sure dumps

    Many engineers complain that the non-deterministic conduct of the garbage collector prevents them from utilizing the Java environment for mission-critical applications, especially distributed message-driven displays (GUIs) where user responsiveness is critical. They agree that garbage collection does occur at the worst times: for example, when a user clicks a mouse or a original message enters the system requiring immediate processing. These events must subsist handled without the detain of in-progress garbage collection. How carry out they avert these garbage collection pauses that tamper with the responsiveness of an application ("bothersome pauses")?

    We fill discovered a very effectual technique to avert bothersome garbage collection pauses and build responsive Java applications. This technique or pattern is especially effectual for a distributive message-driven parade system with soft real-time constraints. This article details this pattern in three simple steps and provides evidence of the effectiveness of the technique.

    Pattern to Control Garbage Collection PausesThe Java environment provides so many benefits to the software community - platform independence, industry momentum, a plethora of resources (online tutorials, code, interest groups, etc.), object-oriented utilities and interfaces (collections, network I/O, sway display, etc.) that can subsist plugged in and out - that once you fill experienced working with Java it's arduous to depart back to traditional languages. Unfortunately, in some mission-critical applications, dote message-driven GUIs that must subsist very responsive to user events, the requirements compel you to pick that step backward. There's no latitude for multiple second garbage collection pauses. (The garbage collector collects every bit of the "unreachable" references in an application so the space consumed by them can subsist reused. It's a low-priority thread that usually only takes priority over other threads when the VM is running out of memory.) carry out they really fill to lose every bit of the benefits of Java? First, let's account the requirements.

    A system engineer should account imposing requirements for garbage collection dote the following list taken from a telecom industry case (see References).1.  GC sequential overhead on a system may not subsist more than 10% to ensure scalability and optimal exercise of system resources for maximum throughput.2.  Any single GC recess during the entire application Run may subsist no more than 200ms to meet the latency requirements as set by the protocol between the client and the server, and to ensure superior response times by the server.

    Armed with these requirements, the system engineer has defined the worst-case conduct in a manner that can subsist tested.

    The next question is: How carry out they meet these requirements? Alka Gupta and Michael Doyle win excellent suggestions in their article (see References). Their approach is to tune the parameters on the Java Virtual Machine (JVM). They pick a slightly different approach that leaves the exercise of parameter definitions as defined by the JVM to subsist used as a final tuning technique.

    Why not divulge the garbage collector what and when to collect?

    In other words, control garbage collection via the software architecture. win the job of the garbage collector easy! This technique can subsist described as a multiple step pattern. The first step of the pattern is described below as "Nullify Objects." The second step involves forcing garbage collection to occur as delineated in "Forcing Garbage Collection." The final step involves either placing persistent data out of the attain of the collector or into a data pool so that an application will continue to achieve well in the long run.

    Step 1: Nullify ObjectsMemory leaks strike panic into the hearts of programmers! Not only carry out they degrade performance, they eventually terminate the application. Yet recollection leaks prove very subtle and difficult to debug. The JVM performs garbage collection in the background, freeing the coder from such details, but traps soundless exist. The biggest danger is placing an expostulate into a collection and forgetting to remove it. The recollection used by that expostulate will never subsist reclaimed.

    A programmer can avert this nature of recollection leak by setting the expostulate reference and every bit of underlying expostulate references ("deep" objects) to null when the expostulate is no longer needed. Setting an expostulate reference to "null" tells the garbage collector that at least this one reference to the expostulate is no longer needed. Once every bit of references to an expostulate are cleared, the garbage collector is free to reclaim that space. Giving the collector such "hints" makes its job easier and faster. Moreover, a smaller recollection footprint moreover makes an application Run faster.

    Knowing when to set an expostulate reference to null requires a complete understanding of the problem space. For instance, if the remote receiver allocates the recollection space for a message, the repose of the application must know when to release the space back for reuse. Study the domain. Once an expostulate or "subobject" is no longer needed, divulge the garbage collector.

    Thus, the first step of the pattern is to set objects to null once you're sure they're no longer needed. They summon this step "nullify" and comprise it in the definition of the classes of frequently used objects.

    The following code snippet shows a method that "nullifies" a track object. The class members that consist of primitives only (contain no additional class objects) are set to null directly, as in lines 3-5. The class members that accommodate class objects provide their own nullify method as in line 9.

    1 public void nullify () {23 this.threatId = null ;4 this.elPosition = null ;5 this.kinematics = null ;67 if (this.iff != null)8 {9 this.iff.nullify();10 this.iff = null ;11 }12 }

    The track nullify is called from the thread that has completed processing the message. In other words, once the message has been stored or processed, that thread tells the JVM it no longer needs that object. Also, if the expostulate was placed in some Collection (like an ArrayList), it's removed from the Collection and set to null.

    By setting objects to null in this manner, the garbage collector and thus the JVM can Run more efficiently. Train yourself to program with "nullify" methods and their invocation in mind.

    Step 2: "Force" Garbage CollectionThe second step of the pattern is to control when garbage collection occurs. The garbage collector, GC, runs as Java priority 1 (the lowest priority). The virtual machine, VM, runs at Java priority 10 (the highest priority). Most books recommend against the usage of Java priority 1 and 10 for assigning priorities to Java applications. In most cases, the GC runs during idle times, generally when the VM is waiting for user input or when the VM has Run out of memory. In the latter case, the GC interrupts high-priority processing in the application.

    Some programmers dote to exercise the "-Xincgc" directive on the Java command line. This tells the JVM to achieve garbage collection in increments when it desires. Again, the timing of the garbage collection may subsist inopportune. Instead, they intimate that the garbage collector achieve a replete garbage collection as soon as it can in either or both of two ways:1.  Request garbage collection to befall as soon as possible: This method proves useful when the programmer knows he or she has a "break" to garbage collect. For example, after a big image is loaded into recollection and scaled, the recollection footprint is large. Forcing a garbage collection to occur at that point is wise. Another superior belt may subsist after a big message has been processed in the application and is no longer needed.2.  Schedule garbage collection to occur at a fixed rate: This method is optimal when the programmer does not fill a specific minute when he knows his application can halt shortly and garbage collect. Normally, most applications are written in this manner.

    Listing 1 introduces a class named "BetterControlOfGC". It's a utility class that provides the methods described earlier. There are two public methods: "suggestGCNow()" and "scheduleRegularGC(milliseconds)" that respectively correspond to the steps described earlier. Line 7 suggests to the VM to garbage collect the unreachable objects as soon as possible. The documentation makes it clear that the garbage collection may not occur instantaneously, but undergo has shown that it will subsist performed as soon as the VM is able to accomplish the task. Invoking the method on line 25 causes garbage collection to occur at a fixed rate as determined by the parameter to the method.

    In scheduling the GC to occur at a fixed rate, a garbage collection stimulator task, GCStimulatorTask, is utilized. The code extends the "java.util.timer" thread in line 10. No original thread is created; the processing runs on the single timer thread available ascend with the Java 1.3 environment. Similarly, to uphold the processing lean, the GC stimulator follows the Singleton pattern as shown by lines 18-23 and line 27. There can subsist only one stimulator per application, where an application is any code running on an instance of the JVM.

    We intimate that you set the interval at which the garbage collector runs from a Java property file. Thus you can tune the application without having to recompile the code. Write some simple code to read a property file that's either a parameter on the command line or a resource bundle in the class path. site the command parameter "-verbose:gc" on your executable command line and measure the time it takes to garbage collect. Tune this number until you achieve the results you want. If the budget allows, experiment with other virtual machines and/or hardware.

    Step 3: Store Persistent Objects into Persistent Data Areas or Store Long-Lived Objects in PoolsUsing persistent data areas is purely optional. It supports the underlying premise of this article. In order to bind the disruption of the garbage collector in your application, win its job easy. If you know that an expostulate or collection of objects would live for the duration of your application, let the collector know. It would subsist nice if the Java environment provided some sort of flag that could subsist placed on objects upon their creation to divulge the garbage collector "-keep out". However, there is currently no such means. (The Real-Time Specification for Java describes an belt of recollection called "Immortal Memory" where objects live for the duration of the application and garbage collection should not run.) You may try using a database; however, this may unhurried down your application even more. Another solution currently under the Java Community Process is JSR 107. JCache provides a standard set of APIs and semantics that allow a programmer to cache frequently used data objects for the local JVM or across JVMs. This API is soundless under review and may not subsist available yet. However, they believe it holds much plight for the Java developer community. uphold this avenue open and in understanding for future architectures. What can they carry out now?

    The pooling of objects is not original to real-time programmers. The concept is to create every bit of your expected data objects before you originate processing, then every bit of your data can subsist placed into structures without the expense of instance creation during processing time. This has the odds of keeping your recollection footprint stable. It has the detriment of requiring a "deep copy" method to subsist written to store the data into the pool. (If you simply set an expostulate to another, you're changing the expostulate reference and not reusing the identical space.) The nanosecond expense of the abysmal copy is far less than that of the expostulate instance creation.

    If the data pooling technique is combined with the proper exercise of the "nullify" technique, garbage collection becomes optimized. The reasons are fairly straightforward:1.  Since the expostulate is set to null immediately after the abysmal copy, it lives only in the immature generation portion of the memory. It does not progress into the older generations of recollection and thus takes less of the garbage collector's cycle time.2.  Since the expostulate is nullified immediately and no other reference to it exists in some other collection expostulate in the application, the job of the garbage collector is easier. In other words, the garbage collector does not fill to uphold track of an expostulate that exists in a collection.

    When using data pools, it's wise to exercise the parameters "-XX:+UseConcMarkSweepGC -XX:MaxTenuringThreshold=0 -XX:SurvivorRatio=128" on the command line. These divulge the JVM to crawl objects on the first sweep from the original generation to the old. It commands the JVM to exercise the concurrent designate sweep algorithm on the traditional generation that proves more efficient since it works "concurrently" for a multi-processor platform. For single processor machines, try the "-Xincgc" option. We've seen those long garbage collector pauses, which occur after hours of execution, evanesce using this technique and these parameters. Performing well in the long Run is the precise profit of this eventual step.

    Performance ResultsTypically, most engineers want proof before changing their approach to designing and coding. Why not? Since we're now suggesting that even Java programmers should subsist concerned about resource allocation, it better subsist worth it! Once upon a time, assembly language and C programmers spent time tweaking recollection and register usage to ameliorate performance. This step was necessary. Now, as higher-level object-oriented programmers they may disdain this thought. This pattern has dared to imply that such considerations, although not as low flat as registers and recollection addresses (instead at the expostulate level), are soundless necessary for high-performance coding. Can it subsist true?

    The underlying premise is that if you know how your engine works, you can drive it better to obtain optimal performance and endurance. This is as precise for my 1985 300TD (Mercedes, five cylinder, turbo diesel station wagon) with 265,000 miles as for my Java code running on a HotSpot VM. For instance, knowing that a diesel's optimal performance is when the engine is warm since it relies on compression for power, I let my car warm up before I "push it." Similarly, I don't overload the vehicle with the tons of stuff I could site in the tailgate. HotSpot fits the analogy. Performance improves after the VM "warms up" and compiles the HotSpot code into the indigenous language. I moreover uphold my recollection footprint gaunt and light. The comparison breaks down after awhile, but the basic verisimilitude does not change. You can exercise a system the best when you understand how it works.

    Our challenge to you is to pick statistics before and after implementing this pattern on just a small portion of your code. gratify recognize that the gain will subsist best exemplified when your application is scaled upward. In other words, the heavier the load on the system, the better the results.

    The following statistics were taken after the pattern was applied. They are charted as:1.  Limited nullify method invocation is used where only the incoming messages are not "nullified." (The residuum of the application from which the statistics were taken was left intact with a very gaunt recollection usage.) There is no forced garbage collection.2.  Nullify method invocation and forced garbage collection is utilized.

    The test environment is a Microsoft Windows 2000 X86 Family 15 Model 2 Stepping 4 Genuine Intel ~1794MHz laptop running the BEA WebLogic Server 7.0 with Service Pack 7.1 with a physical recollection size of 523,704KB. The Java Message Server (JMS server), a track generator, and a tactical parade are every bit of running on the identical laptop over the local developer network (MAGIC). The server makes no optimizations, even though each application resides locally. The JVMs are treated as if they were distributed across the network. They're running on the J2SE 1.4.1 release.

    The test target application is a Java sway Tactical parade with replete panning, zooming, and track-hooking capabilities. It receives bundles of tracks via the Java Message Service that are displayed at their proper location on the given image. Each track is approximately 88 bytes and the overall container size is about 70 bytes. This byte measurement does not comprise every bit of the additional class information that's moreover sent during serialization. The container is the message that holds an array of tracks that contains information such as time and number of tracks. For their tests, the tracks are sent at a 1Hz rate. Twenty sets of data are captured.

    To illustrate the test environment, a screen capture of a 5,000 track load (4,999 tracks plus the ship) is shown in device 1. The background shows tracks rendered with the Military standard 2525B symbology over an image of the Middle East. The small window titled "Track Generator Desktop" is a minimized window showing the parameters of the test set through the track generator application. Notice that 45 messages had been sent at the time of the screen capture. Directly beneath this window sits the Windows assignment Manager. Note that the CPU utilization is at 83%. At first this doesn't appear that bad. But at that rate, there isn't much latitude for the user to originate zooming, panning, hooking tracks, and so on. The final command window to the perquisite is that of the tactical parade application. The parameter "-verbose:gc" is placed on the Java command line (java -verbose:gc myMainApplication.class). The VM is performing the listed garbage collection at its own rate, not by command of the application.

    The final test of 10,000 tracks performed extremely poorly. The system does not scale; the CPU is pegged. At this point most engineers may jeer at Java again. Let's pick another study after implementing the pattern.

    After implementation, where the nullify methods are invoked properly and garbage collection is requested at a sporadic interval (2Hz), dramatic improvements are realized. The eventual test of 10,000 tracks proves that the processor soundless has plenty of latitude to carry out more work. In other words, the pattern scales very well.

    Performance SummaryThe pattern to abet control garbage collection pauses most definitely improves the overall performance of the application. Notice how well the pattern scales under the heavier track loads in the performance bar chart in device 2. The darker middle bar shows the processor utilization at each flat of the message (track) load. As the message traffic increases, the processor utilization grows more slowly than without the pattern. The eventual light-colored bar shows the improved performance. The main power of the pattern is how well it scales under massive message loads.

    There is another subtle power to the pattern. This one is difficult to measure since it requires very long-lived tests. If Step 3 is faithfully followed, those horribly long garbage collection pauses that occur after hours of running disappear. This is a key profit to the pattern since most of their applications are designed to Run "forever."

    We're confident that many other Java applications would profit from implementing this very simple pattern.

    The steps to control garbage collection pauses are:1.  Set every bit of objects that are no longer in exercise to null and win sure they're not left within some collection. "Nullify" objects.2.  compel garbage collection to occur both:

  • After some major memory-intense operation (e.g., scaling an image)
  • At a sporadic rate that provides the best performance for your application3.  reclaim long-lived data in a persistent data belt if feasible or in a pool of data and exercise the usurp garbage collector algorithm.

    By following these three simple steps, you'll avoid those bothersome garbage collection pauses and luxuriate in every bit of the benefits of the Java environment. It's time the Java environment was fully utilized in mission-critical parade systems.

    References

  • Gupta, A., and Doyle, M. "Turbo-Charging the Java HotSpot Virtual Machine, v1.4.x to ameliorate the Performance and Scalability of Application Servers": http://developer.java.sun.com/developer/ technicalArticles/Programming/turbo/
  • JSR 1, Real-Time Specification for Java: http://jcp.org/en/jsr/detail?id=1
  • Java HotSpot VM options: http://java.sun.com/docs/hotspot/VMOptions.html
  • Java Specification Request for JCache: http://jcp.org/en/jsr/detail?id=107

  • Silverlight v1.0 Beta vs. Silverlight 1.1 Alpha - Huh?? | killexams.com real questions and Pass4sure dumps

    By Kevin Hoffman

    Article Rating:

    May 2, 2007 11:15 AM EDT

    Reads:

    20,088 Kevin Hoffman's Blog

    The short of the sage is that Silverlight 1.0 applications don't uphold code-behind, they don't uphold making unostentatious XML calls back to a web service (despite some other people's claims to the contrary, 1.0 will not let you carry out this!), and there is no real two-way binding (though you can set values of controls in response to events, which is what I summon "old school" binding).

    Silverlight 1.1, however.. now this entire project is actually starting to show some promise. For starters, Silverlight 1.1:

  • Supports communication via XML over HTTP, which makes it model for "RESTy POX". Note that the 1.1 alpha version doesn't allow cross-domain access, so you'll soundless fill to drop in server-side service proxies for accessing remote services (which is actually more secure anyway....)
  • You can write "code behind" your Silverlight apps in C# or VB.NET
  • You can write your Silverlight apps using the Dynamic Language Runtime, which means you fetch to exercise VB9 or IronPython.
  • Still has every bit of the moneyed media/video uphold that Silverlight 1.0 has
  • Create a "Silverlight" project from Visual Studio "Orcas" Beta 1.
  • I'm going to subsist looking into this further and will subsist posting my thoughts on it, but now that they can finally play with a "real" version of Silverlight, they can hopefully halt the insanity that was the 1.0 version.

    tags: silverlight  beta  alphalinks: digg this  del.icio.us  technorati  reddit

    Kevin Hoffman, editor-in-chief of SYS-CON's iPhone Developer's Journal, has been programming since he was 10 and has written everything from DOS shareware to n-tier, enterprise web applications in VB, C++, Delphi, and C. Hoffman is coauthor of Professional .NET Framework (Wrox Press) and co-author with Robert Foster of Microsoft SharePoint 2007 progress Unleashed. He authors The .NET Addict's Blog at .NET Developer's Journal.

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