Greedy Stochastic Diffusion Search Based Fuzzy Scheduling in Cloud (Record no. 14212)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210205115011.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210205b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13199 |
| Author | Ranga Swamy Sirisati |
| 245 ## - TITLE STATEMENT | |
| Title | Greedy Stochastic Diffusion Search Based Fuzzy Scheduling in Cloud |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol 5 (2), May- Aug |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | STM Journals |
| Year | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 58-68p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Users in cloud environment pay per use for the resources utilized. Security issues direly affect the cloud services due to which the performance of the cloud systems also gets affected. Hence, for robust security in data and systems in cloud, the onus is largely on service providers. The most important component of cloud computing is job scheduling. For distributing precedence to subtasks that achieve varied makespan in heterogeneous computing system based on the different procedures adopted by different job scheduling algorithms. Additionally, every resource assigned to a task may consume variable amounts of energy. The problems of solving the cloud scheduling problem are Non-deterministic Polynomial (NP) hard problem. The minimization of makespan is the target of most investigations. This work considers both makespan as well as energy consumption. For optimizing these tasks, the greedy and the Stochastic Diffusion Search (SDS) algorithm are combined in job scheduling in this work. Fuzzy reasoning is combined with greedy SDS mechanism by the proposed methodology for optimizing scheduling. The greedy SDS method is used for exploiting the fuzzy solution space and combining the benefits of both the heuristics and evading the drawbacks is the basic tenet of the proposed approach. It has been shown that in terms of both the consumption of energy and makespan, the proposed algorithm performs better than the existing algorithms. |
| 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) | 13200 |
| Co-Author | Mandapati, Sridhar |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Noida STM Journals |
| Title | Journal of artificial intelligence research and advances (JoAIRA) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=1545 |
| 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 |
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| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 05/02/2021 | 2021-2021440 | 05/02/2021 | 05/02/2021 | Articles Abstract Database |