1. Data mining-based prediction for operational completion time and mean flow time.
- Author
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Medikondu, N. R., Prasad, Kona Ram, Meduri, Olive, Babu, K. Prakash, Harsha, A. Sri, and Dharmendra, B. V.
- Subjects
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TRAVEL time (Traffic engineering) , *HEURISTIC algorithms , *NUMBER systems , *CLOUD computing , *MULTICASTING (Computer networks) , *RESEARCH personnel - Abstract
Performance of algorithm evaluated with examples with 40 number of tasks and processors cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the number of operations in the system with utilizing maximum resources with given process time and travel time. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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