The demand for big data storage and processing has become a challenge in today's
industry. To meet the challenge, there is an increasing number of enterprises adopting …

Cloud computing is a new technology, providing different online resources and services to
users. Load balancing has become an interesting research area in this field. A few existing …

The introduction of multicore microprocessors has enabled smaller organizations to invest in
high performance shared memory parallel systems. These systems ship with standard …

Nowadays, high-end Systems consist of thousands of individual devices which are in
general heterogeneous. Grid computing environments are an example of high-end systems …

High-performance parallel computing is very important to ensure the efficient execution of
deep learning algorithms. However, current research focuses more on parallel computing of …

In distributed computing environment, divisible load technique is used to speedup the
completion time of a parallel task by splitting a huge task into a smaller grain size jobs where …

We present a mechanism, Self Resource Discovery Mechanism (SRDM) with the aim of
offers scalable, decentralized resource discovery and load balancing for sharing computing …

This paper addresses the problem of allocating pairwise-workloads in networked multi-
agent systems, where the cost of each agent increases linearly with the workload the agent …

In the 90s, supercomputers started to move from proprietary vector processors to deploying
massively parallel processing computers. From there, parallel computing became a …