Software Defined Cloud Mini Data Centers – An Effort towards Reduction in Latency of Cloud Traffic Delivery
Mohit Mathur1, Mamta Madan2
1Mohit Mathur, Assistant Professor, Jagan Institute of Management Studies, Affiliated to Guru Gobind Singh Indraprastha University, India.
2Dr. Mamta Madan, Professor, Vivekananda Institute of Professional Studies, Affiliated to Guru Gobind Singh Indraprastha University, India
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 20-26 | Volume-8 Issue-12, October 2019. | Retrieval Number: L24831081219/2019©BEIESP | DOI: 10.35940/ijitee.L2483.1081219
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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: In demand to growing traffic of cloud and other web services the vendors are offering several alternatives for timely delivering the traffic. The paper is aims to amass reasons and complexity of delays in regard to end to end delivery of cloud traffic. It further focuses on existing solutions its limitations. The findings of the varying latency suggest that most of the delays are cause due to distance covered by the packet throughout its journey. Hence our solution suggests Software Defined Mini cloud data (SDCmDC) centers distributed throughout the world at different geographical areas instead of having a centralized mega data centers. These mini data centers will be interconnected to each other and carrying data local to their geographical location
Keywords: latency, Software Defined Networking, Cloud Computing, Cloud Traffic, Mini Data center.
Scope of the Article: Cloud Computing