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 …

In this scenario, dynamic and decentralized Load Balancing (LB) considers all the factors
pertaining to the characteristics of the Grid computing environment. Dynamic load-balancing …

Grid computing offers the network with large scale computing resources. Load balancing is
effective for balancing the load of large scale heterogeneous grid resources that are typically …

Load balancing in grid based distributed computing environment increases the availability
and scalability of entire system. Dynamic load balancing has the potential to perform better …

We present a completely decentralized algorithm for parallel job scheduling and load
balancing in distributed peer-to-peer environments. This algorithm is useful for meta …

These days, the popularity of technologies such as machine learning, augmented reality,
and big data analytics is growing dramatically. This leads to a higher demand of …

The policy in dynamic load balancing, classification and function are variety based on the
focus study for each research. They are different but employing the same strategy to obtain …

The recent advent of multi-core computing environments increases the heterogeneity of grid
resources and the complexity of managing them, making efficient load balancing …

Grid computing comprises of distributed computer systems which are geographically
dispersed to share the combination of resources in a heterogeneous environment. The ever …

Self-similarity plays an important role in the performance analysis of modern computer
networks. An important problem is then to obtain an accurate inference of the degree of self …