Author Login IJIRT Partner Network (IPN) Login

Task Scheduling Algorithm for Cloud Computing Using hybrid swarm Intelligence

  • Unique Paper ID: 166895
  • Volume: 11
  • Issue: 2
  • PageNo: 2459-2465
  • Abstract:
  • Cloud computing is a popular technology that allows customers to use computing resources remotely on a pay-as-you-go basis. Task scheduling is a significant challenge in cloud computing environments, as tasks must be scheduled effectively to reduce implementation time and cost while optimizing resource efficiency. This research develops and evaluates a hybrid swarm intelligence method for multi-objective task scheduling in cloud computing, combining an estimate of the distribution algorithm (EDA) with particle swarm optimization (PSO) and ant colony optimization (ACO). Most existing methods do not fully leverage EDA, leading to high task completion times. This work focuses on effectively integrating EDA with the firefly algorithm to reduce task completion times in scheduling algorithms. The findings indicate that the proposed algorithm excels in terms of time efficiency and faster convergence compared to existing methods. Moreover, for both small and large-scale activities, the proposed algorithm demonstrates greater efficiency with a makespan of 1000.74 seconds, throughput of 64.30%, and resource utilization of 99.90%.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 2459-2465

Task Scheduling Algorithm for Cloud Computing Using hybrid swarm Intelligence

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry