Efficient Power Management using Fuzzy Logic for Cloud Computing Environment

Jayasimha,; Usha, J.; Sg, Srivani

doi:10.1109/csitss.2018.8768764

2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS) 2018

DOI: 10.1109/csitss.2018.8768764

|View full text |Cite

Efficient Power Management using Fuzzy Logic for Cloud Computing Environment

Jayasimha Jayasimha¹,

J. Usha²,

Srivani Sg³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions

Gao,

Huang,

et al. 2024

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

The global demand for stored and processed data has surged due to the development of IoTs and similar computational structures, which has led to further energy consumption by concentrated data storage facilities and thus the demands of global energy and environmental needs. The current paper introduces Fuzzy Allocation Optimization Algorithm to mitigate energy consumption in high storage density settings. It uses the principles of Fuzzy logic to determine the best way to assign the tasks in relation to storage density necessity, urgency and energy consumption. Thus, the proposed approach incorporates fuzzy inference systems with multi-objective optimization methods where location of storage is dynamically assessed and assigned according to energy efficiency parameters. The findings of the simulation and case study prove that the algorithm is successful in saving energy while at the same time lowering storage I/O response time, which provides a viable solution to energy issues in evolving data centres. This work satisfies the lack of energy efficient algorithms in high density storage areas and responds to the recent calls for green technology and smart utilization of resources in the energy field. The findings are used in the promotion of significant IT infrastructures towards developing the next generation of energy efficient data centers with respect to Future Internet and evolving energy web environments.

show abstract

Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions

Gao,

Huang,

et al. 2024

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Efficient Power Management using Fuzzy Logic for Cloud Computing Environment

Cited by 1 publication

References 15 publications

Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions

Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions

Contact Info

Product

Resources

About