title: VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds.
abstract: Recently, cloud computing has drawn significant attention from both industry and academia, bringing unprecedented changes to computing and information technology. The infrastructure-as-a-Service (IaaS) model offers new abilities such as the elastic provisioning and relinquishing of computing resources in response to workload fluctuations. However, because the demand for resources dynamically changes over time, the provisioning of resources in a way that a given budget is efficiently utilized while maintaining a sufficing performance remains a key challenge. This paper addresses the problem of task scheduling and resource provisioning for a set of tasks running on IaaS clouds; it presents novel provisioning and scheduling algorithms capable of executing tasks within a given budget, while minimizing the slowdown due to the budget constraint. Our simulation study demonstrates a substantial reduction up to 70% in the overall task slowdown rate by the proposed algorithms.
authors: Division of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea.
authors: Vasileios
authors: V
authors: Thanasias
authors: Division of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea.
authors: Choonhwa
authors: C
authors: Lee
authors: Division of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea.
authors: Muhammad
authors: M
authors: Hanif
authors: Department of Computer Engineering, Hongik University, Seoul, Republic of Korea.
authors: Eunsam
authors: E
authors: Kim
authors: CISE Department, Univ. of Florida, Gainesville, FL 32611, United States of America.
authors: Sumi
authors: S
authors: Helal
mesh_terms: D000465:Algorithms; D000067917:Cloud Computing / Q000191:economics*; D008962:Models, Theoretical; D016526:Workload