Internet of Things (IoT) is transforming the technical setting conventional systems and finds applicability in smart cities, healthcare, industry, etc. In addition, application areas relating to IoT enabled models are resource-limited necessitate crisp responses, low latencies, high bandwidth, which beyond their abilities. Cloud computing (CC) treated as a resource-rich solution above mentioned...

Task scheduling in heterogeneous computing environment such as grid computing is a critical and challenging problem. Based on traditional list scheduling we present a static task scheduling algorithm LBP (Level and Branch Priority) adapted to heterogeneous hosts in grid computing. The contribution of LBP algorithm lies mainly on working out a new method determining task priority in task ready l...

This study aims to increase the productivity of grid systems by an improved scheduling method. A brief overview and analysis of the main scheduling methods in grid systems are presented. A method for increasing efficiency by optimizing the task graph structure considering the grid system node structure is proposed. Task granularity (the ratio between the amount of computation and transferred da...

In this paper, mapping algorithm has been mainly studied. The main work and contribution have been generalized as follows: Through the research of existing onchip network mapping algorithm and global optimization algorithm, a multi-step mapping algorithm for low-power consumption have been designed, which is combined with the task allocation and the task scheduling. Compared with the traditiona...