Paper Info
Title
Behavioral model for cloud aware load and power management
Abstract
Within the last few years, the development of data centers has been moving into high-grade flexible architectures that adapt to the needs (by means of virtualization). This flexibility can be used by load management methods to minimize the energy demand. Depending on quality of service and the hardware used, the application of a load and power management (LPM) results in a big dynamic range of the number of servers currently required. Previous energy models for data centers did not take into account this dynamic sufficiently and thus are not suitable for cloud data centers. Therefore, we present two contributions in this paper. First, we enhance an existing LPM for virtual machines, which has been designed for single data centers, enabling it to interact in flexible environments, for example in inter cloud LPM systems. Second, we develop a model which abstracts the behavior of the LPM concerning the server allocation. This model can be consulted for forecasts and obtains an average precision of 93%.
Year
DOI
Venue
2013
10.1145/2462307.2462313
HotTopiCS
Keywords
Field
DocType
power management,big dynamic range,load management method,inter cloud lpm system,cloud aware load,single data center,cloud data center,data center,behavioral model,existing lpm,flexible environment,energy demand,high-grade flexible architecture,cloud computing,virtualization,energy efficiency,modeling,resource allocation
Virtualization,Load management,Power management,Virtual machine,Efficient energy use,Computer science,Server,Real-time computing,Resource allocation,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
8
0.57
30
Authors
2
Name
Order
Citations
PageRank
Kiril Schröder1352.91
Wolfgang Nebel248476.22