Hosting Virtual Machines on Distributed Datacenters
Authors: 
Chuan Pham, Nguyen H. Tran, Minh N. H. Nguyen, Jae Hyeok Son, Choong Seon HongAuthors Info & Claims
Article No.: 85, Pages 1 - 5
Abstract
Almost of cloud services nowadays are built at top geographically distributed infrastructure for better reliability and performance. These cloud providers need an efficient method to control and direct user workload to suitable datacenter, depending on many factors such as: network traffic cost, operation cost budget, energy consumption, etc. In the virtual machine placement problem, current works mainly focus on the efficiency of packing virtual machines into servers and ignore the distributed scenario of datacenters. In this paper, we consider the problem of placing virtual machines to host applications on a shared resource pool based on distributed cloud platforms. We formulate the problem of hosting virtual machines on distributed datacenters as an optimization problem, and propose a distributed framework DHC that can dynamically direct workload between datacenters to maximize total utility of entire datacenters. We also conduct many case studies to validate our method, and evaluate its effectiveness and practicality, using real-workload traffic traces. The simulation results show that our algorithm can dynamically optimize the total utility, depending on various workload of users.
References
[1]
Majid Hajibaba and Saeid Gorgin. A review on modern distributed computing paradigms: Cloud computing, jungle computing and fog computing. CIT. Journal of Computing and Information Technology, 22(2):69--84, 2014.
[2]
Huandong Wang, Yong Li, Ying Zhang, and Depeng Jin. Virtual machine migration planning in software-defined networks. arXiv preprint arXiv:1412.4980, 2014.
[3]
Fabien Hermenier, Xavier Lorca, Jean-Marc Menaud, Gilles Muller, and Julia Lawall. Entropy: a consolidation manager for clusters. In Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments, pages 41--50. ACM, 2009.
[4]
F Ma, F Liu, and Z Liu. Multi-objective optimization for initial virtual machine placement in cloud data center. J. Infor. and Computational Science, 9(16), 2012.
[5]
Minghong Lin, Adam Wierman, Lachlan LH Andrew, and Eno Thereska. Dynamic right-sizing for power-proportional data centers. IEEE/ACM Transactions on Networking (TON), 21(5):1378--1391, 2013.
[6]
Gong Chen, Wenbo He, Jie Liu, Suman Nath, Leonidas Rigas, Lin Xiao, and Feng Zhao. Energy-aware server provisioning and load dispatching for connection-intensive internet services.
[7]
Hrishikesh Amur, James Cipar, Varun Gupta, Gregory R Ganger, Michael A Kozuch, and Karsten Schwan. Robust and flexible power-proportional storage. In Proceedings of the 1st ACM symposium on Cloud computing, pages 217--228. ACM, 2010.
[8]
Peter Bodik, Michael Paul Armbrust, Kevin Canini, Armando Fox, Michael Jordan, and David A Patterson. A case for adaptive datacenters to conserve energy and improve reliability. University of California at Berkeley, Tech. Rep. UCB/EECS-2008-127, 2008.
[9]
Hien Nguyen Van, Frederic Dang Tran, and Jean-Marc Menaud. Autonomic virtual resource management for service hosting platforms. In Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing, pages 1--8. IEEE Computer Society, 2009.
[10]
Pelle Jakovits, Satish Narayana Srirama, and Ilja Kromonov. Stratus: A distributed computing framework for scientific simulations on the cloud. In High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on, pages 1053--1059. IEEE, 2012.
[11]
Sheldon M Ross. Introduction to probability models. Access Online via Elsevier, 2006.
[12]
Mohamed H Albadi and EF El-Saadany. Demand response in electricity markets: An overview. In IEEE power engineering society general meeting, volume 2007, pages 1--5, 2007.
[13]
Google cluster-usage traces. URL http://code.google.com/p/googleclusterdata/.
[14]
Shaolei Ren Nguyen Tran, Chuan Pham and Choong Seon Hong. Coordinated energy management for emergency demand response in mixed-use buildings. 2015.
Index Terms
- Hosting Virtual Machines on Distributed Datacenters
Recommendations
Traffic-sensitive live migration of virtual machines
CCGRID '15: Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid ComputingIn this paper we address the problem of network contention between the migration traffic and the Virtual Machine (VM) application traffic for the live migration of co-located Virtual Machines. When VMs are migrated with pre-copy, they run at the source ...
Live gang migration of virtual machines
HPDC '11: Proceedings of the 20th international symposium on High performance distributed computingThis paper addresses the problem of simultaneously migrating a group of co-located and live virtual machines (VMs), i.e, VMs executing on the same physical machine. We refer to such a mass simultaneous migration of active VMs as "live gang migration". ...
Optimizing virtual machines using hybrid virtualization
Minimizing virtualization overhead and improving the reliability of virtual machines are challenging when establishing virtual machine cluster. Paravirtualization and hardware-assisted virtualization are two mainstream solutions for modern system ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
January 2016
658 pages
ISBN:9781450341424
DOI:10.1145/2857546
Copyright © 2016 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- SIGAPP: ACM Special Interest Group on Applied Computing
- SKKU: SUNGKYUNKWAN UNIVERSITY
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 January 2016
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
IMCOM '16
Sponsor:
- SIGAPP
- SKKU
IMCOM '16: The 10th International Conference on Ubiquitous Information Management and Communication
January 4 - 6, 2016
Danang, Viet Nam
Acceptance Rates
Overall Acceptance Rate 213 of 621 submissions, 34%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 78Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 31 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in