Abstract
The increasing number of data centers is consuming significant power with an upward surge. Hence, to preserve such huge energy and operating cost of data centers, the cloud service providers consolidate Virtual Machines (VM) to minimize the number of active physical machines. However, lack of reliable security measurements and policy enforcement during the consolidation process, have increased the security risks to the clients. In this paper, the compartment isolation technique is introduced to improve the system security during the consolidation process. The security-based selection and placement algorithms are also presented. The comparative analysis of this improved security approach shows that utilizing the proposed method will reduce the security risks without impacting the overall power consumption in data centers.
| Original language | English |
|---|---|
| Title of host publication | IEEE TrustCom/BigDataSE/ISPA 2016: Proceedings of 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering, and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, 23-26 August 2016, Tianjin, China |
| Publisher | IEEE |
| Pages | 1516-1523 |
| Number of pages | 8 |
| ISBN (Print) | 9781509032051 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | ISPA (Conference) - Duration: 23 Aug 2016 → … |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2324-9013 |
Conference
| Conference | ISPA (Conference) |
|---|---|
| Period | 23/08/16 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- cloud computing
- security measures
- virtual computer systems
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