Data mining-based prediction for operational completion time and mean flow time

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 resea...

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Bibliographic Details
Main Authors: Medikondu, N. R., Prasad, Kona Ram, Meduri, Olive, Babu, K. Prakash, Harsha, A. Sri, Dharmendra, B. V.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Cloud computing
Completion time
Data mining
Heuristic methods
Performance evaluation
Task scheduling
Travel time
Online Access:Get full text
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Summary: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0158476