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Keyword: SchedulingDistributing the computation in combinatorial optimization experiments over the cloud
Advances in Science, Technology and Engineering Systems Journal,
Volume 2,
Issue 6,
Page # 136–144,
2017;
DOI: 10.25046/aj020617
Abstract:
Combinatorial optimization is an area of great importance since many of the real-world problems have discrete parameters which are part of the objective function to be optimized. Development of combinatorial optimization algorithms is guided by the empirical study of the candidate ideas and their performance over a wide range of settings or scenarios to infer…
Read More(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Information Systems in Computer Science (CIS))
Improving the Performance of Fair Scheduler in Hadoop
by Shou-Chih Lo and Ya-Wen Cheng
Advances in Science, Technology and Engineering Systems Journal,
Volume 2,
Issue 3,
Page # 1050–1058,
2017;
DOI: 10.25046/aj0203133
Abstract:
Cloud computing is a power platform to deal with big data. Among several software frameworks used for the construction of cloud computing systems, Apache Hadoop, which is an open-source software, becomes a popular one. Hadoop supports for distributed data storage and the process of large data sets on computer clusters based on a MapReduce parallel…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Information Systems in Computer Science (CIS))
