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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 University, Mexico. His research is on operations research, large-scale optimization techniques, computational techniques, and analytical methods for planning, operations, IoT, digital twins, and control of electric energy and logistic systems. He received his Doctorate in Operations Research (Hons) at the National Autonomous University of Mexico. At present, He has the second-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 2). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems and the Mexican Society for Operations Research. He has co-authored research articles in science citation index journals, conference proceedings, presentations, books, 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
Green computing, Energy Management, Distributed computing, Energy-aware computing