DocumentCode
3772377
Title
Pack Up Cloud: Recursive Datacenter Resource Management and Experimental Studies
Author
Ye Xia;Shigang Chen;Mauricio Tsugawa;Jose A.B. Fortes
Author_Institution
Dept. of Comput. &
fYear
2015
Firstpage
902
Lastpage
907
Abstract
Today´s virtualized resource management in datacenters is typically VM-centric, which has serious problems in scalability. We propose a shift from the traditional flat, fine-grained model towards a hierarchical, abstract model that facilitates decomposition of the complex resource allocation problem in a divide-and-conquer approach. In particular, this paper elaborates a pack-centric framework in datacenter resource management, provides a case study with a recursive algorithm, and presents detailed results from experimental studies on VM-PM mapping through recursive resource allocation, which demonstrates the performance and scalability of the pack-centric framework.
Keywords
"Resource management","Servers","Cloud computing","Memory management","Scalability","Optimization","Computers"
Publisher
ieee
Conference_Titel
Smart City/SocialCom/SustainCom (SmartCity), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/SmartCity.2015.185
Filename
7463840
Link To Document