A Hybrid Method Based on Gravitational Search and Genetic Algorithms for Task Scheduling in Cloud Computing

Abstract

Cloud computing has emerged as a novel technology that offers convenient and cost-effective access to a scalable pool of computing resources over the internet. Task scheduling plays a crucial role in optimizing the functionality of cloud services. However, inefficient scheduling practices can result in resource wastage or a decline in service quality due to under-or overloaded resources. To address this challenge, this research paper introduces a hybrid approach that combines gravitational search and genetic algorithms to tackle the task scheduling problem in cloud computing environments. The proposed method leverages the strengths of both gravitational search and genetic algorithms to achieve enhanced scheduling performance. By integrating the unique search capabilities of the gravitational search algorithm with the optimization and adaptation capabilities of the genetic algorithm, a more effective and efficient solution is achieved. The experimental results validate the superiority of the proposed method over existing approaches in terms of total cost optimization. The experimental evaluation demonstrates that the hybrid method outperforms previous scheduling methods in achieving optimal resource allocation and minimizing costs. The improved performance is attributed to the combined strengths of the gravitational search and genetic algorithms in effectively exploring and exploiting the solution space. These findings underscore the potential of the proposed hybrid method as a valuable tool for addressing the task scheduling problem in cloud computing, ultimately leading to improved resource utilization and enhanced service quality.

Factors Influencing the Integration of Cloud Computing in Modern Accounting Practices in the Malaysian Accounting Sector: A Conceptual Study

“…Additionally, Zhou et al ( 2022) emphasize how cloud computing promotes the openness and sharing of information resources, leading to cost savings in accounting information construction. Zhang (2023) highlights the cost optimization benefits of efficient task scheduling in cloud environments, demonstrating the potential for minimizing costs through effective resource allocation. In conclusion, integrating cloud computing into modern accounting practices is fundamental and has important implications for the organization's cost-effectiveness.…”