TIME SCHEDULING ALGORITHMS FOR LOAD BALANCING THROUGH OPTIMIZED HYBRID APPROACH
DEVANSHU DHAR SRIVASTAVA
, Rekha
Scheduling Algorithms, Load Balancing, Optimized Hybrid Approach
It is expected that if the FCFS is used in conjunction with the priority queue concept, the job's execution time would be reduced. The performance of the system while utilising hybrid production techniques such as FCFS and priority queues is improved. Despite the fact that the system configuration has already been determined, in this research we are building three systems to meet our specific requirements and carrying out operations on those systems. Independently of one another, FCFS and the priority concept both fail to provide good performance when used together. A hybrid strategy, on the other hand, enables us to execute fast while simultaneously improving performance. Any concept that could be implemented on the basis of priority in the future will be unavailable since there is no function accessible to allow the system to work fast if the top priority is a job but it consumes more execution time when compared to the other tasks in the priority queue. The most serious flaw in this project is that it produces a tiny system in which the addition of a new system has a negative impact on the performance of all other systems. Priority must be specified at the time of task selection, but it automatically assigns priority without the need for an explicit command based on the system settings that are currently in effect. Anyone will be able to enhance the performance of systems in the future by implementing the priority queue concept in accordance with their setup.
"TIME SCHEDULING ALGORITHMS FOR LOAD BALANCING THROUGH OPTIMIZED HYBRID APPROACH", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 7, page no.261 - 266, July-2021, Available :https://ijsdr.org/papers/IJSDR2107042.pdf
Volume 6
Issue 7,
July-2021
Pages : 261 - 266
Paper Reg. ID: IJSDR_193528
Published Paper Id: IJSDR2107042
Downloads: 000347217
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
