TY - JOUR
AU - Mann, Zoltán Ádám
AB -  Allocation of Virtual Machines in Cloud Data Centers--A Survey of Problem Models and Optimization Algorithms ´ ´ ´ ZOLTAN ADAM MANN, Budapest University of Technology and Economics Data centers in public, private, and hybrid cloud settings make it possible to provision virtual machines (VMs) with unprecedented flexibility. However, purchasing, operating, and maintaining the underlying physical resources incurs significant monetary costs and environmental impact. Therefore, cloud providers must optimize the use of physical resources by a careful allocation of VMs to hosts, continuously balancing between the conflicting requirements on performance and operational costs. In recent years, several algorithms have been proposed for this important optimization problem. Unfortunately, the proposed approaches are hardly comparable because of subtle differences in the used problem models. This article surveys the used problem formulations and optimization algorithms, highlighting their strengths and limitations, and pointing out areas that need further research. Categories and Subject Descriptors: D.4.7 [Operating Systems]: Organization and Design--Distributed systems General Terms: Algorithms, Design, Management, Performance Additional Key Words and Phrases: Cloud computing, data center, virtual machine, live migration, VM placement, VM consolidation, green computing ACM Reference Format: ´ ´ ´ Zoltan Adam Mann. 2015. Allocation of virtual machines in cloud data centers--a 
TI - Allocation of Virtual Machines in Cloud Data Centers—A Survey of Problem Models and Optimization Algorithms
JF - ACM Computing Surveys (CSUR)
DO - 10.1145/2797211
DA - 2015-08-10
UR - https://www.deepdyve.com/lp/association-for-computing-machinery/allocation-of-virtual-machines-in-cloud-data-centers-a-survey-of-N16uIAOP0Y
SP - 1
VL - 48
IS - 1
DP - DeepDyve
ER -