Energy Efficient Task-Pull Scheduling Using Equal Length Cellular Automata in Distributed Computing

Mitra, Arnab; Kundu, Anirban; Chattopadhyay, Matangini

doi:10.1109/eait.2014.20

Cited by 3 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was earlier analysed and reported that energy required for a processing node at active state is always more as compared to the energy requirement at idle state [8][9][10]. Hence, we have E actv processing−node > E idle processing−node .…”

Section: Discussionmentioning

confidence: 79%

“…For this reason, one important focus is found towards implementation of green computing and green clouds [5]. Towards the implementation of green computing, several energy-aware scheduling algorithms in distributed computing using cellular automata (CA) were described in detail in [8][9][10]. In different researches over time, the role of energyefficient design and consideration of energy stability towards the modelling of green clouds were presented in [11,12].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Energy-Efficient Data Routing in Weight-Balanced Tree-Based Fog Network

Saha

Mitra

2020

Smart Innovation, Systems and Technologies

Self Cite

View full text Add to dashboard Cite

Investigation for the scope for implementation of green computing in fog network is an important focus among researchers. For this reason, a weight-balanced tree-based architecture in fog network is presented in this research. It is observed that the proposed design is having an advantage for the possession of a fixed (or, almost fixed) length routing table, which further ensures the simplicity of design and fast execution. A detailed analysis discovers the inherent energy efficiency of proposed architecture towards data routing, which further explores the potential of proposed architecture towards the implementation of green computing in fog network.

show abstract

Section: Discussionmentioning

confidence: 79%

Section: Related Workmentioning

confidence: 99%

An Energy-Efficient Data Routing in Weight-Balanced Tree-Based Fog Network

Saha

Mitra

2020

Smart Innovation, Systems and Technologies

Self Cite

View full text Add to dashboard Cite

show abstract

A Hybrid Strategy to Evolve Cellular Automata Rules with a Desired Dynamical Behavior Applied to the Task Scheduling Problem

Carvalho

Carneiro

Oliveira

2016

2016 5th Brazilian Conference on Intelligent Systems (BRACIS)

View full text Add to dashboard Cite

On the Exploration of Equal Length Cellular Automata Rules Targeting a MapReduce Design in Cloud

Mitra¹,

Kundu²,

Chattopadhyay

et al. 2018

International Journal of Cloud Applications and Computing

Self Cite

View full text Add to dashboard Cite

A MapReduce design with Cellular Automata (CA) is presented in this research article to facilitate load-reduced independent data processing and cost-efficient physical implementation in heterogeneous Cloud architecture. Equal Length Cellular Automata (ELCA) are considered for the design. This article explores ELCA rules and presents an ELCA based MapReduce design in cloud. New algorithms are presented for i) synthesis, ii) classification of ELCA rules, and iii) ELCA based MapReduce design in Cloud. Shuffling and efficient reduction of data volume are ensured in proposed MapReduce design.

show abstract

Energy Efficient Task-Pull Scheduling Using Equal Length Cellular Automata in Distributed Computing

Cited by 3 publications

References 13 publications

An Energy-Efficient Data Routing in Weight-Balanced Tree-Based Fog Network

An Energy-Efficient Data Routing in Weight-Balanced Tree-Based Fog Network

A Hybrid Strategy to Evolve Cellular Automata Rules with a Desired Dynamical Behavior Applied to the Task Scheduling Problem

On the Exploration of Equal Length Cellular Automata Rules Targeting a MapReduce Design in Cloud

Contact Info

Product

Resources

About