DocumentCode :
1158588
Title :
Profile-Driven Component Placement for Cluster-Based Online Services
Author :
Stewart, Christopher ; Shen, Kai ; Dwarkadas, Sandhya ; Scott, Michael L. ; Yin, Jian
Author_Institution :
University of Rochester
Volume :
5
Issue :
10
fYear :
2004
Firstpage :
1
Lastpage :
1
Abstract :
The growth of the Internet and of various intranets has spawned a wealth of online services, most of which are implemented on local-area clusters using remote invocation (for example, remote procedure call/remote method invocation) among manually placed application components. Component placement can be a significant challenge for large-scale services, particularly when application resource needs are workload dependent. Automatic component placement has the potential to maximize overall system throughput. The key idea is to construct (offline) a mapping between input workload and individual-component resource consumption. Such mappings, called component profiles, then support high-performance placement. Preliminary results on an online auction benchmark based on J2EE (Java 2 Platform, Enterprise Edition) suggest that profile-driven tools can identify placements that achieve near-optimal overall throughput.
Keywords :
Enterprise JavaBeans; RUBiS; clusters; component placement; component profile; online services; Application software; Availability; Bandwidth; Costs; Large-scale systems; Monitoring; Runtime; Scalability; Statistics; Throughput; 65; Enterprise JavaBeans; RUBiS; clusters; component placement; component profile; online services;
fLanguage :
English
Journal_Title :
Distributed Systems Online, IEEE
Publisher :
ieee
ISSN :
1541-4922
Type :
jour
DOI :
10.1109/MDSO.2004.27
Filename :
1355906
Link To Document :
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