Paper Info
Title
Resource Allocation For Virtual Service Based On Heterogeneous Shared Hosting Platforms
Abstract
Nowadays, one of the issues in cloud computing is resource optimizing for virtual services to enhance IaaS service performance and meet the requirements of resource exploitation effectively. In this paper, we seek the approach of multi-dimensional resource allocation based on heterogeneous shared hosting platforms for virtual services. We construct the problem as an optimized formulation that uses a linear programming to minimize the number of physical machines. The solution for this formulation is applying the Greedy algorithms to solve and evaluate via emulation-based program.
Year
DOI
Venue
2016
10.1007/978-3-662-49390-8_5
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2016, PT II
Keywords
Field
DocType
Resource allocation, Greedy algorithm, Shared hosting platforms, Cloud computing, Linear programming
Internet hosting service,Computer science,Exploitation of natural resources,Greedy algorithm,Emulation,Resource allocation,Artificial intelligence,Linear programming,Machine learning,Distributed computing,Cloud computing
Conference
Volume
ISSN
Citations 
9622
0302-9743
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Nguyen Minh Nhut Pham100.34
thu huong nguyen221.03
Van Son Le311.70