Title: Acquisition planning and scheduling of computing resources
Authors: Yang, Chien-Nan
Lin, Bertrand M. T.
Hwang, F. J.
Wang, Meng-Chun
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
Keywords: Computing service;Acquisition planning;Scheduling;Heuristics;Tabu search;Genetic algorithm
Issue Date: Dec-2016
Abstract: Cloud computing has been attracting considerable attention since the last decade. This study considers a decision problem formulated from the use of computing services over the Internet. An agent receives orders of computing tasks from his/her clients and on the other hand he/she acquires computing resources from computing service providers to fulfill the requirements of the clients. The processors are bundled as packages according to their speeds and the business strategies of the providers. The packages are rated at a certain pricing scheme to provide flexible purchasing options to the agent. The decision of the agent is to select the packages which can be acquired from the service providers and then schedule the tasks of the clients onto the processors of the acquired packages such that the total cost, including acquisition cost and scheduling cost (total weighted tardiness), is minimized. In this study, we present an integer programming model to formulate the problem and propose several solution methods to produce acquisition and scheduling plans. Ten well-known heuristics of parallel-machine scheduling are adapted to fit into the studied problem so as to provide initial solutions. Tabu search and genetic algorithm are tailored to reflect the problem nature for improving upon the initial solutions. We conduct a series of computational experiments to evaluate the effectiveness and efficiency of all the proposed algorithms. The results of the numerical experiments reveal that the proposed tabu search and genetic algorithm can attain significant improvements. (C) 2016 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.cor.2016.06.015
ISSN: 0305-0548
DOI: 10.1016/j.cor.2016.06.015
Volume: 76
Begin Page: 167
End Page: 182
Appears in Collections:Articles