دورية أكاديمية
Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing.
| العنوان: | Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing. |
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| المؤلفون: | Singhal S; Department of Computer Engineering and Applications, GLA University, Mathura 281406, Uttar Pradesh, India., Athithan S; Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Andhra Pradesh, India., Alomar MA; Department of Industrial Engineering, Faculty of Engineering-Rabigh, King Abdulaziz University, Jeddah 21589, Saudi Arabia., Kumar R; Department of Computer Engineering and Applications, GLA University, Mathura 281406, Uttar Pradesh, India., Sharma B; Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India., Srivastava G; Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada.; Department of Computer Science and Mathematics, Lebanese American University, Beirut 1102, Lebanon.; Research Centre for Interneural Computing, China Medical University, Taichung 40402, Taiwan., Lin JC; Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063 Bergen, Norway. |
| المصدر: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Mar 27; Vol. 23 (7). Date of Electronic Publication: 2023 Mar 27. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: PubMed not MEDLINE; MEDLINE |
| أسماء مطبوعة: | Original Publication: Basel, Switzerland : MDPI, c2000- |
| مستخلص: | Data centers are producing a lot of data as cloud-based smart grids replace traditional grids. The number of automated systems has increased rapidly, which in turn necessitates the rise of cloud computing. Cloud computing helps enterprises offer services cheaply and efficiently. Despite the challenges of managing resources, longer response plus processing time, and higher energy consumption, more people are using cloud computing. Fog computing extends cloud computing. It adds cloud services that minimize traffic, increase security, and speed up processes. Cloud and fog computing help smart grids save energy by aggregating and distributing the submitted requests. The paper discusses a load-balancing approach in Smart Grid using Rock Hyrax Optimization (RHO) to optimize response time and energy consumption. The proposed algorithm assigns tasks to virtual machines for execution and shuts off unused virtual machines, reducing the energy consumed by virtual machines. The proposed model is implemented on the CloudAnalyst simulator, and the results demonstrate that the proposed method has a better and quicker response time with lower energy requirements as compared with both static and dynamic algorithms. The suggested algorithm reduces processing time by 26%, response time by 15%, energy consumption by 29%, cost by 6%, and delay by 14%. |
| References: | Neurosurg Focus. 2001 Jul 15;11(1):E7. (PMID: 16724817) Sensors (Basel). 2021 Nov 25;21(23):. (PMID: 34883857) Sensors (Basel). 2022 Jul 07;22(14):. (PMID: 35890796) |
| فهرسة مساهمة: | Keywords: cloud computing; energy consumption; fog computing; load balancing; resource utilization; smart grid |
| تواريخ الأحداث: | Date Created: 20230413 Date Completed: 20230413 Latest Revision: 20231102 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC10098693 |
| DOI: | 10.3390/s23073488 |
| PMID: | 37050548 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1424-8220 |
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| DOI: | 10.3390/s23073488 |