Scheduling or the allocation of user requests (tasks) in the cloud environment is an NP-hard
optimization problem. According to the cloud infrastructure and the user requests, the cloud …

Large-scale distributed and parallel computing is denoted as cloud computing. Based on the
user needs, it deals with shared resources, storage, and information. A lot of people are …

Cloud computing is a rapidly advancing technology offering on-demand internet-based
computing services available on a pay-per-use basis. It plays the most significant role due to …

Workload management and resource management are two key aspects in grid computing to
provide the better services to grid environment users. Grid computing involves a number of …

There are two major challenges in Grid computing environment; managing the workload and
resource management. To better facilitate to the Grid users it encompasses the other …

Grid computing is a collection of computer resources from multiple locations to reach a
common goal. Grid computing distinguishes from conventional high performance computing …

The two major challenges in Grid Computing are, managing the workload information and
resource management to better facilitate to the Grid users. It depends on many factors like …

Load balancing functionalities are crucial for best Grid performance and utilization.
Accordingly, this paper presents a new meta-scheduling method called TunSys. It is inspired …

Load Balancing is the challenging tasks in the Computing infrastructure. These two tasks are
interdependent. Well defined computing infrastructure may reach through a Blue Print is …

In today's world of distributed systems has raised a lot concerns about the efficiency. The
aim of researchers in this field is to develop new dynamic load balancing techniques that …