Grid computing is used to provide different services to users through resources that are
geographically dispersed, dynamic, and heterogeneous in nature. In grid computing, load …

Optimal task allocation in Large-Scale Computing Systems (LSCSs) that endeavors to
balance the load across limited computing resources is considered an NP-hard problem …

With increasing requirements of mobile users on computational demanding applications, the
need for offloading of computation to a cloud is a convenient way to provide high QoS and to …

The increased number of computers, enlarged network bandwidth, more powerful
computers, consumed resources and the acceptance of the Internet has driven the ongoing …

This paper is dealing with mobile resource management that distributes mobile device
processes between cloud computing virtual machine and mobile device. Expectation is that …

Background: In grid computing, several computing nodes work together to accomplish a
common goal. During computation some nodes get overloaded and some nodes remain idle …

This paper present load balancing technique in a heterogeneous environment allows the
usage for geographically widely distributed and multi-owner resources to solve large-level …

The optimal allocation of computational resources for efficient and high performance Grid
applications is not a trivial task and mainly arises a challenge for calibration and execution …

This paper present load balancing technique in a heterogeneous environment allows the
usage for geographically widely distributed and multi-owner resources to solve large-level …

There are various algorithms that are designed to satisfy the needs of high performance
applications and exhaustive workflows inlarge-scale computing systems. This work analyzes …