Artificial neural networks are successfully used to solve a wide variety of scientific and
technical problems. The purpose of the study is to increase the efficiency of distributed …

The use of load balance on a network will be very much needed if the network is an active
network and is widely accessed by users. A reason is that it allows network imbalances to …

There are several load balancing techniques which are popular used in Structured Peer-to-
Peer (SPTP) systems to distribute the load among the systems. Most of the protocols are …

The airport security system is crucial to maintain the normal operation of an airport. The
streaming data generated by various IoT devices not only contains information on airport …

The Internet of Vehicles (IoV) necessitates high data throughput and minimal latency for
effective and practical implementation. In addition, the rapid movement of vehicles can lead …

The Basic Linear Algebra Subprograms (BLAS) is a fundamental numerical software and
GEneral Matrix Multiply (GEMM) is the most important computational kernel routine in the …

Distributed computing has been the field of enthusiasm by the exploration network and
application improvement industry for scarcely any decades at this point. The simplicity of …

Load balancing is critical to managing server resources efficiently and ensuring optimal
performance in distributed systems. The weighted round robin (WRR) algorithm is commonly …

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 …

Efficient load balancing is essential for distributed systems to have outstanding performance
and scalability. This study compares the load balancing strategies of two popular distributed …