Resource Allocation in Public Cluster with Extended Optimization Algorithm

2007/08/04 by Zaenal Akbar, Z. Akbar, Akbar, Z. +2
Computer Science · #Cloud Computing and Resource Management #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Optimization and Search Problems #Parallel #and Cluster Computing (cs.DC) #cs.DC

paper · pdf · doi:10.48550/arxiv.0708.0608

4 pages, Proceeding of the International Conference on Instrumentation, Communication and Information Technology 2007

openalex publication_date 2007/08/04 · arxiv created 2007/08/09 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We introduce an optimization algorithm for resource allocation in the LIPI Public Cluster to optimize its usage according to incoming requests from users. The tool is an extended and modified genetic algorithm developed to match specific natures of public cluster. We present a detail analysis of optimization, and compare the results with the exact calculation. We show that it would be very useful and could realize an automatic decision making system for public clusters.

Citations

• Web-based Interface in Public Cluster
• Public Cluster : parallel machine with multi-block approach

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• Hemingway: Modeling Distributed Optimization Algorithms
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