International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Distributed Load Balancing Architecture for IAAS Cloud Computing

Author(s) Avi Chauhan, Dr. Manish Jha
Country India
Abstract Cloud Computing has been evolved with various techniques for satisfying the needs of the users with an aim to reduce the cost and offer the better result. The users’ need may include sharing of resources like memories, processors, apps, information, data, applications etc., whereas, performance should be in terms of improved DC processing period & response-time. Apart from above-said, there is also a requirement to manage the stability of the system and flexible to make the amendments in the system. Static data is used to optimize the project schedule. However, the traditional ACO does not take into account the personnel allocation matrix when scheduling projects. The ACO model is not a suitable solution to the scheduling problem. The classic ACO methodology operates in two phases: the first phase uses an event-based scheduler to address the complex planning issue.
Field Engineering
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-14
DOI https://doi.org/10.71097/IJSAT.v16.i2.6317
Short DOI https://doi.org/g9qqx5

Share this