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Energy Efficient Computing in parallel and distributed computing

Editorial Board
Lead Guest Editors:
  • Varadharajan Vijayakumar (Professor, School of Computing Science and Engineering, VIT University, Chennai, India)
  • José Antonio Marmolejo-Saucedo (Universidad Panamericana)+ BioJose Antonio Marmolejo is a Professor at Panamerican Univer-sity, Mexico. His research is on operations research, large-scale optimization techniques, computational techniques and analyti-cal methods for planning, operations, and control of electric en-ergy and logistic systems. He received his Doctorate in Oper-ations Research (Hons) at National Autonomous University of Mexico. At present, He has the third highest country-wide dis-tinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 1). He is a mem-ber of the Network for Decision Support and Intelligent Optimiza-tion of Complex and Large Scale Systems and Mexican Society for Operations Research. He has co-authored research articles in science citation index journals,conference proceedings, pre-sentations and book chapters.
Guest Editors:
  • NEELANARAYANAN VENKATARAMAN (VIT University - Chennai Campus)
  • vijayakumar varadarajan ()
Aims & Scope
Computing systems account for about 13% of the electricity consumption in office buildings. From embedded sensors to mobile devices to data centers, enery has become a limiting factor. As computing becomes ubiquitous and pervasive, building energy efficient devices becomes important. This special issue addresses all aspects of energy-efficient computing in parallel and distributed computing. This special issue solicits research papers addressing the challenges with practical results in addressing energy efficient computing in parallel and distributed computing environments such as cloud computing, edge computing, sky computing and fog computing.
  • Energy-efficient networking and protocols
  • Energy-efficient Cloud computing
  • Energy-efficient peer-to-peer networking and overlays
  • Energy-efficient application design
  • Energy-efficient virtualization
  • Energy-efficeint resource sharing and security
  • Energy-demand reduction techniques
  • Energy-efficient grid computing
  • Energy-efficient data center technology
  • Energy-efficient network components
  • Energy-efficient scheduling
  • Green computing
Keywords
Green computing, Energy Management, Distributed computing, Energy-aware computing


Publication:
Energy Web
Submission Closed