0

BOOKMARKS

0

READ

87

DOWNLOADS

186

VIEWS

0

REVIEWS

ENGLISH

ENGLISH

Leveraging Fog Computing for Scalable Iot Datacenter Using Spine-Leaf Network Topology

By Dr.kennedy Chinedu Okafor

Summary

With the Internet of Everything (IoE) paradigm that gathers almost every object online, huge traffic workload, bandwidth, security,
and latency issues remain a concern for IoT users in today’s world. Besides, the scalability requirements found in the current IoT
data processing (in the cloud) can hardly be used for applications such as assisted living systems, Big Data analytic solutions, and
smart embedded applications. This paper proposes an extended cloud IoT model that optimizes bandwidth while allowing edge
devices (Internet-connected objects/devices) to smartly process data without relying on a cloud network. Its integration with a
massively scaled spine-leaf (SL) network topology is highlighted. This is contrasted with a legacy multi-tier layered architecture
housing network services and routing policies. The perspective offered in this paper explains how low-latency and bandwidth
intensive applications can transfer data to the cloud (and then back to the edge application) without impacting QoS performance.
Consequently, a spine-leaf Fog computing network (SL-FCN) is presented for reducing latency and network congestion issues in a
highly distributed and multilayer virtualized IoT datacenter environment. This approach is cost-effective as it maximizes bandwidth
while maintaining redundancy and resiliency against failures in mission critical applications.
Leveraging Fog Computing for Scalable Iot Datacenter Using Spine-Leaf Network Topology
 
0.0 (0 reviews)

Published: April 24, 2017

Uploaded by: Dr.kennedy Chinedu Okafor

Read Online

Your download will begin automatically, if it's taking too long click here

Share this entry

About the Author

Dr.kennedy Chinedu Okafor

Dr.kennedy Chinedu Okafor

Dr. Kennedy Chinedu Okafor is a Senior Member of the IEEE,USA, an Expert in HPC/Cybersecurity. He had his B.Eng in Electrical Electronics Engineering from Enugu State University of Science and Technology,(ESUT), M.Eng and Ph.D in Electronic Engineering from the University of Nigeria Nsukka, (UNN), respectively. He is the CEO of Kswitche Consults, a leading R&D organization in Nigeria and have worked with Electronic Development Institute (Former Center For Adaptation of Technology-CAT), Awka under National Agency for Science and Engineering Infrastructure, (NASENI-FMST), Nigeria as a Senior R&D Engineer from 2006-2014. He has various vendor certifications including CCNA,CCNP (Fog, edge, routing and switching), ComPTIA A+, and Server+. In 2009, he served with the House of Representative Committee on Cyber-security and Information Protection Bill. In 2010, he executed a major World Bank project (ICT) in Anambra State. Also, he was the lead consultant in the Biometric Data Capture for PHCN in 2011. He has worked in different areas of advanced digital electronics and computer systems design such as Smart Meters, Cloud SOA applications, Smart green automation with IoTs, Cyber-Physical Apps, Modelling/Simulation of Real Time Systems; FPGA/CPLD implementations using VHDL WARP Cypress, Quatus II, JAVA Netbeans, MATLAB Sim & Riverbed Modeller. His areas of interest include - HPC Design Infrastructure, Middlewares, Embedded /VLSI computational intelligence, Enterprise-Wide Systems, & CyberSecurity. He has about 125 technical publications, and has presented papers in both Int'l and local conferences. He is a Lecturer in the Department of EEE/Mechatronics Engineering, Federal University of Technology, Owerri, (FUTO). Professionally, he is a cooperate Member of NSE, NCS, IAENG, AASCIT, CSEAN & COREN registered. He is a member of editorial board in IJCAC (USA),IJACSA,(UK), IJISP(USA), SJET(India), Computer Science Archive,(USA),etc indexed in ISI Web of Science (Thomson Reuters).

Reviews

No reviews yet.

Add Review