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This work is licensed under a Creative Commons Attribution 4.0 International License.
Object Recognition using Compensatory Fuzzy Min-Max Neural Network Architecture
PARAS A. TOLIA, PROF. D. R. PAWAR Dept. of Computer Engg., Sinhgad College of Engg. Pune, India
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Abstract: In distributed applications, performance issues have become more critical due to proliferation of heterogeneous devices, large variety of communication medium and increased security concerns. This paper highlights the issues in performance measurement in Dynamic Load Balancing Algorithms (DLB) used for distributed scheduling. Various parameters used to measure the performance of scheduling algorithms have been described. The simulation model has been used illustrate performance issues associated with load balancing.
Keywords: Performance Measurement, Distributed Scheduling, Slowdown, Response Time, Processor Utilization, Dynamic Load Balancing.
Keywords: Performance Measurement, Distributed Scheduling, Slowdown, Response Time, Processor Utilization, Dynamic Load Balancing.
How to Cite:
[1] PARAS A. TOLIA, PROF. D. R. PAWAR Dept. of Computer Engg., Sinhgad College of Engg. Pune, India, “Object Recognition using Compensatory Fuzzy Min-Max Neural Network Architecture,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.