A New Distributed JVM for Cluster Computing

Lobosco, Marcelo; Silva, Anderson Faustino da; Loques, Orlando; Amorim, Cláudio Luis de

doi:10.1007/978-3-540-45209-6_162

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…An early implementation was Java/DSM [76], which was built using the existing TreadMarks DSM library. CoJVM [77] and follows a similar approach, but uses a home-based rather than a homeless protocol. JESSICA [78] allows for thread migration rather than thread placement to improve load balancing.…”

Section: User-levelmentioning

confidence: 99%

Single system image: A survey

Healy

Lynn

Barrett

et al. 2016

Journal of Parallel and Distributed Computing

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Section: User-levelmentioning

confidence: 99%

Single system image: A survey

Healy

Lynn

Barrett

et al. 2016

Journal of Parallel and Distributed Computing

View full text Add to dashboard Cite

“…Some attempts have been made to develop efficient middleware for Java Distributed Shared Memory (DSM) implementations (e.g., CoJVM [9]) and for high performance Java message-passing libraries (e.g., MPJ Express [1] and MPJ/Ibis [3]). Nevertheless, these libraries do not optimize widely extended APIs and their integration into existing projects is reduced.…”

Section: Introductionmentioning

confidence: 99%

High Performance Java Remote Method Invocation for Parallel Computing on Clusters

Taboada

Teijeiro

Touriño

2007

2007 IEEE Symposium on Computers and Communications

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This paper presents a more efficient Java Remote Method Invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited by the lack of efficient communication middleware and high-speed cluster interconnect support. This implementation overcomes these limitations through a more efficient Java RMI protocol based on several basic assumptions on clusters. Moreover, the use of a high performance sockets library provides with direct high-speed interconnect support. The performance evaluation of this middleware on a Gigabit Ethernet (GbE) and a Scalable Coherent Interface (SCI) cluster shows experimental evidence of throughput increase. Moreover, qualitative aspects of the solution such as transparency to the user, interoperability with other systems and no need of source code modification can augment the performance of existing parallel Java codes and boost the development of new high performance Java RMI applications.

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“…Some efforts have been done to optimize communications in Java Distributed Shared Memory (DSM) implementations (e.g., CoJVM [10], JESSICA2 [21] and JavaSplit [6]), in high performance Java message-passing libraries (e.g., MPJ Express [1] and MPJ/Ibis [3]), and implementing new Java RMI libraries. Nevertheless, these projects usually lack desirable features such as the use of widely spread standard APIs, no need of source code modification, transparency to the user and full interoperability with other systems.…”

Section: Introductionmentioning

confidence: 99%

High Performance Java Sockets for Parallel Computing on Clusters

Taboada

Touriño

Doallo

2007

2007 IEEE International Parallel and Distributed Processing Symposium

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The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently there are no solutions that fully fulfill these issues. In this paper, a Java sockets library has been tailored to increase the efficiency of Java parallel applications on clusters. This library supports high-speed cluster interconnects and its API has been extended to meet the requirements of a high performance Java RMI implementation and Java parallel applications on clusters. Thus, it provides Java with a more efficient communication middleware on clusters. The performance evaluation of this middleware on a Gigabit Ethernet (GbE) and a Scalable Coherent Interface (SCI) cluster has shown experimental evidence of throughput increase. Moreover, qualitative aspects of the solution such as transparency to the user, interoperability with other systems and no need of source code modifications are decisive to boost the performance of existing Java parallel applications and their developments in high performance Java cluster computing.

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A New Distributed JVM for Cluster Computing

Cited by 10 publications

References 9 publications

Single system image: A survey

Single system image: A survey

High Performance Java Remote Method Invocation for Parallel Computing on Clusters

High Performance Java Sockets for Parallel Computing on Clusters

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