| Autor: |
Medikondu, N. R., Meduri, Olive, Babu, K. Prakash, Prasad, Kona Ram, Harsha, A. Sri, Dharmendra, B. V. |
| Předmět: |
|
| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2821 Issue 1, p1-8, 8p |
| Abstrakt: |
Performance of algorithm evaluated with three examples with 40 number of tasks and processors with considering half of the travel time and triple the process time. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. 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. 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 mean flow time and execution time with utilizing maximum resources. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
