Swarm intelligence approach for load balancing in distributed computing systems using firefly algorithm (Record no. 22722)
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250425104513.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250425b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 25998 |
| Author | Gowrishankar, R. |
| 245 ## - TITLE STATEMENT | |
| Title | Swarm intelligence approach for load balancing in distributed computing systems using firefly algorithm |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.14(4), Apr |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Chennai |
| Name of publisher, distributor, etc. | ICT Academy |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 3323-3327p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Load balancing in distributed computing systems is crucial for optimal<br/>resource utilization and performance enhancement. Swarm<br/>intelligence algorithms offer promising solutions due to their ability to<br/>mimic collective behavior observed in nature. This study proposes a<br/>novel approach for load balancing using the Firefly Algorithm, a bio-<br/>inspired optimization technique based on the flashing behavior of<br/>fireflies. The algorithm is applied to dynamically distribute tasks<br/>among nodes in a distributed computing environment. The<br/>contribution lies in adapting the Firefly Algorithm specifically for load<br/>balancing purposes in distributed computing systems. The study<br/>explores the effectiveness of this approach in improving system<br/>performance and resource utilization. Experimental evaluations<br/>demonstrate the efficacy of the proposed approach in achieving load<br/>balancing objectives. The Firefly Algorithm effectively redistributes<br/>tasks among nodes, reducing processing delays and improving overall<br/>system efficiency. Comparative analysis against existing methods<br/>showcases the superiority of the proposed approach in various<br/>performance metrics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 25999 |
| Co-Author | Senthilkumar, B. |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Chennai ICT Academy |
| Title | ICTACT Journal on Soft Computing (IJSC) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://ictactjournals.in/paper/IJSC_Vol_14_Iss_4_Paper_3_3323_3327.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 25/04/2025 | 2025-0671 | 25/04/2025 | 25/04/2025 | Articles Abstract Database |