DocumentCode :
3647853
Title :
A Framework for Classification of Resource Consolidation Management Problems
Author :
Steven Lonergan;Yagiz Onat Yazir;Ulrike Stege
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
972
Lastpage :
973
Abstract :
Much effort in the current literature has been put towards methods and implementations to solve Resource Consolidation Management (RCM) problems in the cloud setting. A vast number of proposed solutions appears to be designed for different variants of the RCM problem. This makes the comparison of approaches challenging. We propose a new framework that facilitates mapping RCM solutions to their RCM problem definitions. Our framework allows a solution to be assigned to its RCM problem definition by means of answering a set of questions specific to RCM problems. Our framework can be used to (1) specify problem descriptions, (2) establish optimal solutions and providing theoretical benchmarks, (3) provide a platform allowing formal complexity analysis of RCM problems and (4) facilitate a healthy discussion about the essence of RCM and evaluations of different solutions. We show how our proposed framework can be applied in form of case studies depicting four approaches from the literature.
Keywords :
"Uncertainty","Cloud computing","Computer science","Educational institutions","Electronic mail","Resource management"
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on
ISSN :
2159-6182
Print_ISBN :
978-1-4673-2892-0
Electronic_ISBN :
2159-6190
Type :
conf
DOI :
10.1109/CLOUD.2012.114
Filename :
6253609
Link To Document :
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