Choosing the best Bin Packing Algorithm for Replica Placement in Multi-Tenant Cloud System
Debabrata Sarddar1, Sougata Chakraborty2
1Debabrata Sarddar, Assistant Professor, Department of Computer Science and Engineering, University of Kalyani, West Bengal, India.
2Sougata Chakraborty, Assistant Professor, Department of Computer Science and Engineering, University of Kalyani, West Bengal, India.
Manuscript received on November 27, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3184-3187 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4403129219/2019©BEIESP | DOI: 10.35940/ijeat.B4403.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Of late, Cloud Computing is visibly seen to reduce infrastructure costs with high data availability and performance conforming to service level agreement for both the service providers and the users. With the rapid and explosive growth of the number of cloud users, Cloud Data Management System must serve an array of different analytical and transactional workloads. Hence, to ensure the scalability in a multi-tenant system, replica placement algorithms always come into the picture appropriately. In our work, we have vividly analyzed various replica placement algorithms in terms of their performance and tried to find the beneficial aspects to be the fittest one to tackle the situation when the actual observed workloads are immensely deviated from the estimated workloads.
Keywords: DBaaS, Replica Placement, Bin Packing, Multi-tenant System.