Most of the existing load balancing strategies were interested in distributed systems which
were supposed to have homogeneous resources interconnected with homogeneous and …

In today's competitive environment the objectives and goals of the producers (also called
resource owners) and consumers (also called end users) are different. Computational grid …

Grid environment consists of millions of dynamic and heterogeneous resources. A grid
environment which deals with computing resources is computational grid and is meant for …

In smart grid environment incorporated with IoT-based cloud infrastructure, management of
efficiency is a paradigm. This procedure considers an adversary search technique (ADVST) …

Grid computing is a network of software–hardware capabilities. It serves as a
comprehensive and complete system for organizations by which the maximum utilization …

Though tremendous work has been done in the field of grid computing, due to the two
challenging aspects (ie load balancing and scheduling) it is hindered from being beneficial …

Load distribution is a process that involves the allocation of tasks to various nodes in the
distributed system in such a manner that overall resource utilization is maximized, and …

Cloud computing is an vast area in which computing resources, network access and
accessing vast distributed over the network. To coordinate and distribute the task is …

Distributed systems need to perform load balancing on their hosts, so that the computation
runs as quickly as possible. Research in this field has seen the emergence of mobile agents' …

The paradigm of distributed computation in heterogeneous resources, grid computing, has
given rise to a large amount of research on resource scheduling. This paper presents a Meta …