Cost optimization in cloud provisioning using particle swarm optimization
Conference proceedings article
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
ไม่พบข้อมูลที่เกี่ยวข้อง
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Netjinda N., Sirinaovakul B., Achalakul T.
ผู้เผยแพร่: Hindawi
ปีที่เผยแพร่ (ค.ศ.): 2012
ISBN: 9781467320245
นอก: 0146-9428
eISSN: 1745-4557
ภาษา: English-Great Britain (EN-GB)
บทคัดย่อ
A cloud technology has emerged as a prominent workflow computing infrastructure. The need arises to optimize the allocation of resources to cloud provider's customers. An appropriate number of VMs must be created along with the allocation of supporting resources. Moreover, commercial clouds may have many different purchasing options. Finding optimal provisioning solutions is thus an NP-hard problem. Currently, there are many research works discussing the cloud provisioning cost optimization. However, most of the works mainly concerned with task scheduling. In this paper, we proposed a new framework where number of purchased instance, instance type, purchasing options, and task scheduling are considered within an optimization process. In order to identify a solution in a reasonable amount of time, we studied the use of Particle Swarm Optimization (PSO) technique. The decoding scheme is also designed to convert real values in PSO's particles into an integer representing a solution. The initial results show a promising performance in both the perspectives of the total cost and fitness convergence. We believe that our system will be useful in purchasing options decision. Budget can also be accurately estimated for any specified workflow-based application. We believe that the work will benefit the on-demand provisioning of the virtualized resources as a service in the near future. ฉ 2012 IEEE.
คำสำคัญ
Cloud Computing, Particle Swarm Optimization, provisioning cost optimization
ติดต่อสอบถามเพิ่มเติมได้ที่