Secure Multi-tenant Design for Cloud Computing Environment
Pallavi G B1, P Jayarekha2
1Pallavi G B, Assistant Professor, Department of CSE, BMSCE, Bengaluru (Karnataka), India.
2Dr. P Jayarekha, Associate Professor, Department of ISE, BMSCE, Bengaluru (Karnataka), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 27 June 2019 | PP: 25-29 | Volume-8 Issue-1C May 2019 | Retrieval Number: A10060581C19/2019©BEIESP
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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: Multi-tenancy is one of the most important elements of cloud computing environment due to salability and economic benefit it offers for both cloud service provider (CSP) and end user. As resources are shared, it induces security and privacy issues and tenant dependent on cloud service provider to assign trustworthy cotenants. However, CSP maximize its resource utilization by allowing maximum co-tenancy irrespective of the behaviors of tenants. Subsequently techniques like Reputation management based design aid in identifying good and malicious tenants. However, the state-of-art model is not efficient when behavior of malicious tenant changes rapidly. Addressing the said research issue, a secure multi-tenant (SMT) design using a modified reputation management model is proposed which handles dynamic behavior of tenants efficiently for cloud computing environment. Experiments are conducted using TPCC benchmark shows significant performance in terms of latency and throughput by SMT over state-of-art model.
Keywords: Cloud Computing, Multi-tenant, Resource Scheduling, Reputation Management Security.
Scope of the Article: Cloud Computing