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Multi-Objective Resource Mapping and Allocation for Volunteer Cloud Computing - 2019

Multi-Objective Resource Mapping and Allocation for Volunteer Cloud Computing

Research Area:  Cloud Computing

Abstract:

Although Virtual Machine placement has been extensively researched in traditional Cloud Computing environments, it remains an open challenging problem for Volunteer Cloud Computing, which exhibits several divergent characteristics, including intermittent availability of nodes and unreliable infrastructure. In this paper, we model the Virtual Machine placement problem in Volunteer Cloud Computing as a bounded 0-1 multi-dimensional knapsack problem and develop three heuristic based algorithms to meet the objectives and constraints specific to Volunteer Cloud Computing. Empirical evidences on a real Volunteer Cloud Computing test-bed show the competitive performance results of these algorithms.

Keywords:  

Author(s) Name:  Tessema Mengistu; Dunren Che; Shiyong Lu

Journal name:  

Conferrence name:  2019 IEEE 12th International Conference on Cloud Computing (CLOUD)

Publisher name:  IEEE

DOI:  10.1109/CLOUD.2019.00063

Volume Information:  Volume 2019