Transparently Obtaining Scalability for Java Applications on a Cluster

Aridor, Yariv; Factor, Michael; Teperman, Avi; Eilam, Tamar; Schuster, Assaf

doi:10.1006/jpdc.2000.1649

Cited by 15 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To reduce the amount of communication, the cluster VM employs a large combination of (mostly) simple optimizations that address caching, locality of execution and object migration. The full range of the optimizations applied by the cluster VM for Java is described in detail in [10] and are highlighted in this section.…”

Section: Means To Achieve Scalabilitymentioning

confidence: 99%

A distributed implementation of a virtual machine for Java

Aridor

Factor

Teperman

2001

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

SUMMARYThe cluster virtual machine (VM) for Java provides a single system image of a traditional Java Virtual Machine (JVM) while executing in a distributed fashion on the nodes of a cluster. The cluster VM for Java virtualizes the cluster, supporting any pure Java application without requiring that application be tailored specifically for it. The aim of our cluster VM is to obtain improved scalability for a class of Java Server Applications by distributing the application's work among the cluster's computing resources. The implementation of the cluster VM for Java is based on a novel object model which distinguishes between an application's view of an object (e.g. every object is a unique data structure) and its implementation (e.g. objects may have consistent replications on different nodes). This enables us to exploit knowledge on the use of individual objects to improve performance (e.g. using object replications to increase locality of access to objects).We have already completed a prototype that runs pure Java applications on a cluster of NT workstations connected by a Myrinet fast switch. The prototype provides a single system image to applications, distributing the application's threads and objects over the cluster. We used the cluster VM to run, without change, a real Java Server Application containing over 10 Kloc ‡ for the source code and achieved high scalability for it on a cluster. We also achieved linear speedup for another application with a large number of independent threads. This paper discusses the architecture and implementation of the cluster VM. It focuses on achieving a single system image for a traditional JVM on a cluster while describing, in short, how we aim to obtain scalability.

show abstract

Section: Means To Achieve Scalabilitymentioning

confidence: 99%

A distributed implementation of a virtual machine for Java

Aridor

Factor

Teperman

2001

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

show abstract

“…In contrast, JESSICA2 runs in JIT-compilation mode and conforms to release consistency. In [15], cJVM is evaluated with pBOB (Portable Business Object Benchmark), a business benchmark inspired by TPC-C, on a 4-node cluster with noncommodity Myrinet. They obtained an efficiency of around 80%.…”

Section: Related Workmentioning

confidence: 99%

A Performance Study of Clustering Web Application Servers with Distributed JVM

Lam

Luo

Wang

2008

2008 14th IEEE International Conference on Parallel and Distributed Systems

View full text Add to dashboard Cite

show abstract

“…These projects provide parallel Java capabilities by altering the JVM or building a new one. Examples include JPVM [16] and cJVM [4]. 3.…”

Section: Java Dialects and Preprocessors Projects Such Asmentioning

confidence: 99%

Middleware infrastructure for parallel and distributed programming models in heterogeneous systems

Al-Jaroodi

Mohamed

Jiang³

et al. 2003

IEEE Trans. Parallel Distrib. Syst.

View full text Add to dashboard Cite

In this paper, we introduce a middleware infrastructure that provides software services for developing and deploying highperformance parallel programming models and distributed applications on clusters and networked heterogeneous systems. This middleware infrastructure utilizes distributed agents residing on the participating machines and communicating with one another to perform the required functions. An intensive study of the parallel programming models in Java has helped identify the common requirements for a runtime support environment, which we used to define the middleware functionality. A Java-based prototype, based on this architecture, has been developed along with a Java Object-Passing Interface (JOPI) class library. Since this system is written completely in Java, it is portable and allows executing programs in parallel across multiple heterogeneous platforms. With the middleware infrastructure, users need not deal with the mechanisms of deploying and loading user classes on the heterogeneous system. Moreover, details of scheduling, controlling, monitoring, and executing user jobs are hidden, while the management of system resources is made transparent to the user. Such uniform services are essential for facilitating the development and deployment of scalable high-performance Java applications on clusters and heterogeneous systems. An initial deployment of a parallel Java programming model over a heterogeneous, distributed system shows good performance results. In addition, a framework for the agents' startup mechanism and organization is introduced to provide scalable deployment and communication among the agents. Index Terms-Distributed systems middleware, parallel programming models, parallel and distributed Java, cluster, heterogeneous systems, distributed agents.

show abstract

Transparently Obtaining Scalability for Java Applications on a Cluster

Cited by 15 publications

References 20 publications

A distributed implementation of a virtual machine for Java

A distributed implementation of a virtual machine for Java

A Performance Study of Clustering Web Application Servers with Distributed JVM

Middleware infrastructure for parallel and distributed programming models in heterogeneous systems

Contact Info

Product

Resources

About