A Proposed Architecture for Placement of Cloud Data Centre in Software Defined Network Environment
Mohit Mathur1, Mamta Madan2, Mohit Chandra Saxena3
1Mohit Mathur*, Associate Professor, Department of Information Technology, Jagan Institute of Management Studies (Affiliated to Guru Gobind Singh Indraprasth University), Delhi, India.
2Mamta Madan, Professor, Department of Computer Science, Vivekanand Institute of Professional Studies (Affiliated to Guru Gobind Singh, Indraprastha University), Delhi, India.
3Mohit Chandra Saxena, Research Scholar, Computer Science & Engineering, Galgotias University, Noida (U.P), India.
Manuscript received on December 20, 2021. | Revised Manuscript received on December 29, 2021. | Manuscript published on December 30, 2021. | PP: 104-116 | Volume-11 Issue-2, December 2021. | Retrieval Number: 100.1/ijeat.B33261211221 | DOI: 10.35940/ijeat.B3326.1211221
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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: Emerging technologies like IoT (Internet of Things) and wearable devices like Smart Glass, Smart watch, Smart Bracelet and Smart Plaster produce delay sensitive traffic. Cloud computing services are emerging as supportive technologies by providing resources. Most services like IoT require minimum delay which is still an area of research. This paper is an effort towards the minimization of delay in delivering cloud traffic, by geographically localizing the cloud traffic through establishment of Cloud mini data centers. The anticipated architecture suggests a software defined network supported mini data centers connected together. The paper also suggests the use of segment routing for stitching the transport paths between data centers through Software defined Network Controllers.
Keywords: Cloud Computing, Software Defined Network, Traffic Engineering, Segment Routing, Latency, Data Center, Traffic Optimization, Mini Data centers.
Scope of the Article: Cloud Computing