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IJGHPC-COT 2019 : Recent Trends on Cloud of Things (CoT) in Edge Computing Paradigms for Energy Domain
IJGHPC-COT 2019 : Recent Trends on Cloud of Things (CoT) in Edge Computing Paradigms for Energy Domain

IJGHPC-COT 2019 : Recent Trends on Cloud of Things (CoT) in Edge Computing Paradigms for Energy Domain

Greater Noida
Event Date: May 17, 2019 - August 30, 2019
Submission Deadline: January 01, 1970




Call for Papers

Special Issue On: Recent Trends on Cloud of Things (CoT) in Edge Computing Paradigms for Energy Domain
Submission Due Date
8/30/2019

Guest Editors
Prof. D. Ganesh Gopal
School of Computing Science & Engineering Galgotias University, Greater Noida, Uttar Pradesh, India
Email: [email protected]

Prof. Bharat S. Rawal Kshatriya
IST Department Penn State Abington University 1600 Woodland Road Abington, PA 19001, USA
Email:[email protected]

Prof. PELUSI Danilo
Faculty of Communication Sciences UNIVERSITA’ DEGLI STUDI DI TERAMO University of Teramo Coste Sant'Agostino Campus via R. Balzarini 1 64100 Teramo, Italy
Email: [email protected]

Prof. Ramani Kannan
Department of Electrical and Electronics Engineering Universiti Teknologi PETRONAS, Malaysia.
Email: [email protected]; [email protected]

Introduction
In the era of personal computing, when the processing requirements were sky-rocketed, the rise of cloud computing had begun. Cloud backed IoT has been a buzzing word that helps in intelligent and smart connected with IoT, sensors connected in an internet fashion using cloud. This combination led the cloud with its authoritative and ascendable infrastructure for the real time handling, exploration and loading of IoT data under integrally composite models which supports the IoT devices to get the advantage. In turn IoT offers various rewards like cloud users allowed to build an application on top of IoT where the interconnection of various objects have been maintained by various services provided under cloud. When the concept of IoT started to grow, lots of sensors were introduced for pervasive and ubiquitous computing. This lead to the growth of a wide array of data which was saw an exponential growth. The simplest and the most feasible way for an optimized data processing were to connect these devices to the cloud. For such large data transfer, high speed networks and interconnections were required. To fine-tune and optimize the data that is transferred over the network, after a wide research, it was understood that not all data generated from the sensors have to be stored centrally in cloud. It would be much efficient to distribute small server in-front of the cloud and closer to the location of the user. This lead to the evolution of new computing approach called edge computing which involves pushing the data collection and processing back to end-user devices. Edge computing moves the data storage, computing closer to the edge devices itself instead of a centralized local server. So the edge devices have become a supreme authority to judge what kind of information to be stored on the edge. There by the edge computing along with CoT brings improves greater scalability, minimum interval and processing speed. The growing request of smarter devices enriches calculating constraint in bulky volume causing in greater energy consumption.
Lot of innovation and research pushes the COT with edge computing nowadays. But still there are several issues which need to be addressed for CoT with edge computing. With this special issue, we aim to discover the new ways to embrace the opportunities that CoT with edge computing on energy domain like an innovative architecture, middleware platform for edge and CoT, context aware service, management and QoS. In particular we are looking for descriptive approaches, formal models, simulations, implementation solutions, use cases, and applications that support CoT-Edge Computing and their IOT applications in the energy domain.

Objective
•A Novel CoT - Edge Computing architecture for data sensing and processing
• Nature-Inspired Smart Efficient Energy Hybrid Systems for CoT - Edge Computing Context-Aware Systems
• Algorithms and techniques for computation offloading in CoT - Edge paradigm
• Efficient Energy Management of Computing Resources for CoT - Edge Computing
• Energy management of CoT - Edge infrastructure in IoT
• Simulation and Emulation platform in CoT - Edge Computing on Energy Domain
• Performance evaluation of CoT - Edge Computing on Energy Domain
• Quality of service/Experience (QoS/QoE) provisioning in CoT - Edge Computing on Energy Domain
• Energy Efficient CoT - Edge networking
• Energy Efficient Hybrid CoT - Edge Computing Systems for Ambient Living
• Resource management and scheduling algorithms on Energy Domain for CoT - Edge Computing


Recommended Topics
Researchers and practitioners are invited to submit papers for this special theme issue Recent Trends on Cloud of Things (CoT) in Edge Computing Paradigms for Energy Domain on or before 30 August 2019. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributorresources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All manuscript submissions should be sent through the online submission system:
https://www.igi-global.com/submission/submit-manuscript/?jid=1105&cfcid=f0f4c2d3-50e6-4048-a0a9-36286fca2562

All submissions and inquiries should be directed to the attention of:
Dr. Ganesh Gopal
Guest Editor
International Journal of Grid and High-Performance Computing (IJGHPC)
E-mail:[email protected]



Credits and Sources

[1] IJGHPC-COT 2019 : Recent Trends on Cloud of Things (CoT) in Edge Computing Paradigms for Energy Domain


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