DocumentCode :
1789237
Title :
Planning and online resource allocation for the multi-resource cloud infrastructure
Author :
Xue Wang ; Razo, Miguel ; Tacca, Marco ; Fumagalli, Andrea
Author_Institution :
OpNeAR Lab., Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2014
fDate :
10-14 June 2014
Firstpage :
2938
Lastpage :
2943
Abstract :
Given the geographic complexity of the cloud infrastructure distribution, both offline data center dimensioning and link dimensioning as well as online resource allocation strategies play a significant role in enhancing end-to-end performance. In this paper, a three-step offline capacity assignment approach is proposed to select the data center locations, dimension the data centers and network links in an arbitrary mesh topology. Then the performance of the capacity assignment approach is investigated using a number of joint allocation strategies. Simulation results show that by using joint online resource allocation strategies, up to 50% higher load can be offered to the system at a given blocking probability. In addition, the combination of using both optimized capacity assignment approach and joint allocation strategy can reduce the link bandwidth over-provisioning. Results also show that the joint allocation strategy is more robust against sub-optimal offline capacity assignment.
Keywords :
cloud computing; computer centres; planning; probability; resource allocation; blocking probability; data center dimensioning; data center location selection; geographic complexity; joint allocation strategy; link bandwidth overprovisioning reduction; link dimensioning; mesh topology; multiresource cloud infrastructure distribution; network links; offline capacity assignment approach; offline data center dimensioning; online resource allocation; planning; Bandwidth; Joints; Memory management; Network topology; Next generation networking; Resource management; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICC.2014.6883771
Filename :
6883771
Link To Document :
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