Multi-objective Task Scheduling in Heterogeneous Cloud Computing Environment
To resolve the issue of Dynamic task scheduling in heterogeneous cloud computing environment, we proposed a comprehensive multi-objective algorithm based on PPEFT (Parental Prioritization Earliest Finish Time) algorithm for task scheduling to minimize make span and maximizing the resource utilization.
This proposed algorithm is compared with HEFT and CPOP algorithms. By
using various benchmark scientific workflows like (Epigenomics and Montage) it performs remarkably well than other algorithms in terms of make span and maximum resource utilization while maintaining the other parameters within considerable limits. It will also provide dynamic task scheduling.
Keywords: Heterogeneous systems, Task scheduling, Cloud computing, Resource Allocation, Multi-objective Optimization, Quality of Service (QoS)
Tools: Simulation of algorithm on Cloudsim 3.0.3 by using Java language.
Department: Department of Computer Science
Project Team Members
| Name |
Email |
|
Sidra Khalid (BSCS2019-44)
|
sidrak2019@namal.edu.pk |
|
Fatima Sadiqa (BSCS2019-48)
|
fatima2019@namal.edu.pk |
Project Poster
