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A Hierarchical Shared Memory Cluster Architecture with Load Balancing and Fault Tolerance
by
Minakshi Tripathy,
C.R. Tripathy
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 25 - Number 6 |
| Year of Publication: 2011 |
| Authors: Minakshi Tripathy, C.R. Tripathy |
10.5120/3038-4121
|
Minakshi Tripathy, C.R. Tripathy . A Hierarchical Shared Memory Cluster Architecture with Load Balancing and Fault Tolerance. International Journal of Computer Applications. 25, 6 ( July 2011), 8-18. DOI=10.5120/3038-4121
@article{
10.5120/3038-4121,
author = {
Minakshi Tripathy,
C.R. Tripathy
},
title = { A Hierarchical Shared Memory Cluster Architecture with Load Balancing and Fault Tolerance },
journal = {
International Journal of Computer Applications
},
issue_date = { July 2011 },
volume = { 25 },
number = { 6 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = {
8-18
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume25/number6/3038-4121/
},
doi = { 10.5120/3038-4121 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:01.477001+05:30
%A Minakshi Tripathy
%A C.R. Tripathy
%T A Hierarchical Shared Memory Cluster Architecture with Load Balancing and Fault Tolerance
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 6
%P 8-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Recently a great deal of attention has been paid to the design of hierarchical shared memory cluster system. Cluster computing has made hierarchical computing systems increasingly common as target environment for large-scale scientific computations. This paper proposes hierarchical shared memory cluster architecture with load balancing and fault tolerance. Hierarchies of shared memory and caches structure the architecture. The hierarchical load balancing approach focuses on reducing the redistribution cost. The fault tolerant model is adopted to build highly available clusters in hierarchical shared memory clusters. Performance analysis and results reveal that hierarchical shared memory clusters performs much better creating a reliable hierarchical network cluster system with high scalability.
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Index Terms
Computer Science
Information Sciences
Keywords