publication . Article . 2014

Using a vision cognitive algorithm to schedule virtual machines

Jiaqi Zhao; Yousri Mhedheb; Jie Tao; Foued Jrad; Qinghuai Liu; Achim Streit;
Open Access
  • Published: 01 Sep 2014 Journal: International Journal of Applied Mathematics and Computer Science, volume 24, pages 535-550 (eissn: 2083-8492, Copyright policy)
  • Publisher: Walter de Gruyter GmbH
<jats:title>Abstract</jats:title> <jats:p> Scheduling virtual machines is a major research topic for cloud computing, because it directly influences the performance, the operation cost and the quality of services. A large cloud center is normally equipped with several hundred thousand physical machines. The mission of the scheduler is to select the best one to host a virtual machine. This is an NPhard global optimization problem with grand challenges for researchers. This work studies the Virtual Machine (VM) scheduling problem on the cloud. Our primary concern with VM scheduling is the energy consumption, because the largest part of a cloud center operation cos...
Persistent Identifiers
free text keywords: vision cognitive algorithm, VM scheduling, simulation, Cognition, Job shop scheduling, Fair-share scheduling, Grand Challenges, Cloud computing, business.industry, business, Distributed computing, Scheduling (computing), Energy consumption, Real-time computing, Virtual machine, computer.software_genre, computer, Algorithm, Computer science, lcsh:Mathematics, lcsh:QA1-939, lcsh:Electronic computers. Computer science, lcsh:QA75.5-76.95
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