DocumentCode
2385002
Title
The SMASH Impacts to Cluster Computing
Author
Fang, Yung-Chin ; Hsieh, Jenwei
fYear
2005
fDate
Sept. 2005
Firstpage
1
Lastpage
1
Abstract
Summary form only given. High performance computing clusters scaling out fact indicates manageability will become more important than ever. Over time, a computer center tends facilitate multiple management frameworks from vendors to remote manage generations of heterogeneous HPC clusters to complete one task. The heterogeneous and scaling out computing info structure made HPCC/grid administration even more challenging and time consuming than before. Management interoperability is usually compromised or absent due to the heterogeneous environment. In order to solve this problem for the long run and further reduce the total cost of ownership, industry is defining the systems management architecture for server hardware (SMASH) initiative. The SMASH initiative is a suite of specifications, which standardize management interfaces and remote management architecture for heterogeneous computing environments. The suite of specifications includes unified command line protocol, resource discovery, and resource addressing and data model profiles. SMASH not only addresses complicated administration challenges as well as enables hardware independent remote manageability plus computing info structure status/performance aware job scheduling schemes and as a result, will bring HPC clusters/grid utilization rates to an even higher level. This poster uses figures to illustrate the challenges, corresponding SMASH specifications and point out the potential research directions in supercomputing space over SMASH implementations
Keywords
grid computing; network servers; open systems; protocols; scheduling; workstation clusters; HPC clusters; cluster computing; data model profiles; grid administration; heterogeneous computing environments; info structure status; management interoperability; multiple management frameworks; performance aware job scheduling; remote management architecture; resource addressing; resource discovery; systems management architecture for server hardware management interfaces; unified command line protocol; Computer architecture; Computer interfaces; Costs; Data models; Environmental management; Grid computing; Hardware; High performance computing; Job shop scheduling; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing, 2005. IEEE International
Conference_Location
Burlington, MA
ISSN
1552-5244
Print_ISBN
0-7803-9486-0
Electronic_ISBN
1552-5244
Type
conf
DOI
10.1109/CLUSTR.2005.347081
Filename
4154124
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