Java Memory Analysis

Java developers generally do not need to consider the issue of memory release, all the GC to deal with. However, in some production environments, the JVM has been running for a long time, even some small, http://www.aliyun.com/zixun/aggregation/36295.html Java objects, which can lead to the exhaustion of memory resources, and ultimately the problem of the Java "> Application crash." This article will develop on an AIX platform based on the IBM JDK ...

The Yourkit Java Profiler is a CPU and memory analysis tool, as well as a Java and http://www.aliyun.com/zixun/aggregation/13480.html. NET Program Performance analysis tool, you can easily solve CPU and memory-related performance problems. It has a powerful tool for automatic leak detection, memory allocation analysis, object heap Browser, comprehensive memory testing as part of the JUnit testing process, the cost of analysis is very low ...

At the same time support scheduling memory and CPU resources (default only supports memory, if you want to further scheduling the CPU, you need to make some configuration), this article describes how Hadoop YARN scheduling and isolation of these resources. In YARN, resource management is done jointly by the ResourceManager and the NodeManager, where the scheduler in the ResourceManager is responsible for allocating resources and NodeManager is responsible for providing and isolating resources. ResourceM ...

The upcoming Stardog 2.1 query scalability improves by about 3 orders of magnitude and can handle 50 billion triple on a 10,000-dollar server. We have never focused too much on stardog scalability itself: we first consider its ease of use and then consider its speed. We just assumed it would make it extremely scalable. Stardog 2.1 makes querying, data loading, and scalability a huge leap forward. Run S on a 10,000 dollar server hardware (32 cores, 256 GB RAM).

The "Editor's note" machine learning seems to have turned from obscurity to the limelight overnight, as well as more open source tools for machine learning, but the challenge now is how to get developers interested in machine learning and the data they are prepared to use to actually use them, This paper collects the common and practical open source machine learning tools in several languages, which is worth paying attention to, which is from InfoWorld. The following is the original: After decades of development as a professional discipline, machine learning seems to appear overnight as a popular business tool ...

This article series consists of two parts, and in part 1th of this series you will learn how to use the Tiyatien Center API and how to monitor deadlocks in a running Java application. Part 2nd uses the deadlock detection application developed in this article and adds a method to analyze the view to show where the application spends most of its CPU cycles. Have you ever encountered an application server hang without a clear cause or a Java application has become unresponsive? Is your application memory ...

Grid computing can organize a large number of decentralized computers into a "virtual http://www.aliyun.com/zixun/aggregation/13840.html" > supercomputer, which should be one of the major technical tools for large data and high performance computing challenges. This article mainly introduces the method of writing grid applications on the IBM Platform Symphony platform in the Java language. Background The grid computing is distributed computing (Distribut ...).

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This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Microsoft recently announced the development of a open-source version of Hadoop compatible with Windows Server and Windows Azure platform. IBM announced the creation of a new storage architecture on Hadoop to run DB2 or Oracle databases as a cluster to enable applications to support high-performance Analytics, data warehousing applications, and cloud computing purposes. EMC has also launched the world's first custom, high-performance Hadoop dedicated data processing equipment--greenplum HD Data computing equipment, providing customers with the most powerful 、...