Minimizing Energy Through Task Allocation Using Rao-2 Algorithm in Fog Assisted Cloud Environment

This publication has 14 references indexed in Scilit:

• Energy Aware Task Consolidation in Fog Computing Environment
  2020
• Failure-aware energy-efficient VM consolidation in cloud computing systems
  Future Generation Computer Systems, 2019
• Energy-aware virtual machine allocation for cloud with resource reservation
  Journal of Systems and Software, 2019
• GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis
  Journal of Ambient Intelligence and Humanized Computing, 2018
• SOA-FOG: Secure service-oriented edge computing architecture for smart health big data analytics
  2017
• Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems
  2017
• FogGIS: Fog Computing for geospatial big data analytics
  2016
• Novel resource allocation algorithms to performance and energy efficiency in cloud computing
  The Journal of Supercomputing, 2014
• Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
  Concurrency and Computation: Practice and Experience, 2011
• Power-aware scheduling of virtual machines in DVFS-enabled clusters
  2009