Improvement in Load Balancing Technique for MongoDB Clusters

Improvement in Load Balancing Technique for MongoDB Clusters

Now is the era of cloud computing and related buzzwords are the virtualization, resource sharing, Big Data. With the advent of new technologies, gadgets or simply IOT has enabled the advanced connectivity of devices, systems, and services and with this the data is being produced at an enormous rates from these devices be it form sensors, GPS data, log files from different sources etc. which is ...

Profile-Based Load Balancing for Heterogeneous Clusters

Cluster computing is becoming increasingly popular for providing cost-effective and affordable parallel computing for day-to-day computational needs [2, 11, 16]. Such environments consist of clusters of workstations connected by Local Area Networks (LANs). The possibility of the incremental expansion of clusters by incorporating new generations of computing nodes and networking technologies is ...

A Load Balancing Technique for Multiphase Computations

Parallel computations comprised of multiple, tightly interwoven phases of computation may require a different approach to dynamic load balancing than single-phase computations. This paper presents a load sharing method based on the view of load as a vector, rather than as a scalar. This approach allows multiphase computations to achieve higher efficiency on large-scale multicomputers than possi...

Load-Balancing Iterative Computations on Heterogeneous Clusters

Load Balancing between Heterogeneous Computing Clusters

More and more organizations have computing clusters located in different places. The distance between the computing clusters can be quite far away and the computing clusters can also differ in size. The load in one cluster may be very high while the other clusters may have nothing running on the system. A higher throughput can be achieved if load balancing is added. In this paper, we propose a ...