Kerrighed and data parallelism: cluster computing on single system image operating systems

Morin, C.; Lottiaux, Renaud; Vallée, Geoffroy; Gallard, Pascal; Margery, David; Berthou, Jean-Yves; Scherson, Isaac D.

doi:10.1109/clustr.2004.1392625

Cited by 27 publications

(20 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, the commercial solutions do not provide the source code. Nowadays OpenSSI [34] Kerrighed [35] and openMosix [36] provide a better load balancing strategy for SSI based on Linux kernel. In addition, these systems are mature enough for use [37] .…”

Section: Development Of Ssi Clustersmentioning

confidence: 99%

“…As mentioned before, the global resources management feature enables resources to be distributed transparently and dynamically throughout the cluster's nods. As a result, better usage of whole cluster resources was carried out [35] . In Kerrighed, the checkpointing is also implemented to avoid the restarting of the application when any node fails.…”

Section: Kerrighedmentioning

confidence: 99%

“…This migration is based on the scheduling mechanism that is used to migrate the jobs dynamically. For supporting global memory management, Container is used as a new idea to provide a high-level service of a standard operating system to provide shared virtual memory and remote paging [35] . In the global process management perspective, pre-emptive process migration scheme acts as a default scheduler that is responsible for dynamic balancing of CPU load [42] .…”

Section: Kerrighedmentioning

confidence: 99%

See 2 more Smart Citations

Architectural Review of Load Balancing Single System Image

Ahmed¹,

Samsudin²,

Ramli³

2008

J. of Computer Science

View full text Add to dashboard Cite

Problem statement: With the growing popularity of clustering application combined with apparent usability, the single system image is in the limelight and actively studied as an alternative solution for computational intensive applications as well as the platform for next evolutionary grid computing era. Approach: Existing researches in this field concentrated on various features of Single System Images like file system and memory management. However, an important design consideration for this environment is load allocation and balancing that is usually handled by an automatic process migration daemon. Literature shows that the design concepts and factors that affect the load balancing feature in an SSI system are not clear. Result: This study will review some of the most popular architecture and algorithms used in load balancing single system image. Various implementations from the past to present will be presented while focusing on the factors that affect the performance of such system. Conclusion: The study showed that although there are some successful open source systems, the wide range of implemented systems investigated that research activity should concentrate on the systems that have already been proposed and proved effectiveness to achieve a high quality load balancing system.

show abstract

Section: Development Of Ssi Clustersmentioning

confidence: 99%

Section: Kerrighedmentioning

confidence: 99%

Section: Kerrighedmentioning

confidence: 99%

See 1 more Smart Citation

Architectural Review of Load Balancing Single System Image

Ahmed¹,

Samsudin²,

Ramli³

2008

J. of Computer Science

View full text Add to dashboard Cite

show abstract

“…The cluster flavour of XtreemOS-F relies on the Kerrighed [14] Linux-based single sytem image. A cluster thus appears as a single powerful higly reliable node in the grid, its individual nodes being invisible at Grid level.…”

Section: Overview Of Xtreemosmentioning

confidence: 99%

XtreemOS: A Grid Operating System Making your Computer Ready for Participating in Virtual Organizations

Morin

2007

10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'07)

View full text Add to dashboard Cite

show abstract

“…The Kerrighed [10,11] project makes a single system image cluster for high-performance computing. This system provides many features that make a cluster a single system, such as software distributed shared memory.…”

Section: Related Workmentioning

confidence: 99%