Grid computing systems provide a vast amount of computing resources from multiple
administrative domains to reach a main objective. One of the most important challenges in …

Cloud and fog computing are modern technologies that handle multiple dynamic user
requests. Cloud provides demand-based services to users over the internet on pay-as-you …

Clouds provide to users on‐demand access to large computing and storing resources and
offer over on premise IT infrastructures many advantages in terms of cost, flexibility, and …

Grid computing has recently become one of the most important research topics in the field of
computing. The Grid computing paradigm has gained popularity due to its capability to offer …

Grid computing is the federation of resources from multiple locations to facilitate resource
sharing and problem solving over the Internet. The challenge of finding services or …

Data Grid is a geographically distributed environment that deals with large-scale data-
intensive applications. Effective scheduling in Grid can reduce the amount of data …

In this paper, the joint optimization problem with energy efficiency and effective resource
utilization is investigated for heterogeneous and distributed multi-core embedded systems …

The Grid scheduler, schedules user jobs on the best available resource in terms of resource
characteristics by optimizing job execution time. Resource failure in Grid is no longer an …

Load balancing is an important aspect of Grid resource scheduling. This paper attempts to
address the issue of load balancing in a Grid, while maintaining the resource utilization and …

Load Balancing is the one of the most significant parts in distributed environments. As Cloud
Computing is one of the best platform that gives storage of data in very minimal cost and …