Task management in IoT-Fog-Cloud environment employing static scheduling Techniques

ENP Engineering Science Journal

article

Gauvav Goel¹  RajeevTiwari¹ 

[1] University of Petroleum and Energy studies

关键词: Task management;    IoT;    Fog;    Cloud;    Resource Scheduling;   

DOI  :  10.53907/enpesj.v2i1.76

学科分类：社会科学、人文和艺术（综合）

来源: Ecole Nationale Polytechnique

【 摘 要 】

In a distributed computing system, there are limited resources, which needs to be utilized effectively. Thenfor improving QoS Fog computing paradigm is an effective way, with suitable allocations. Thus, different resourcescheduling and optimization algorithms exist. However, still, there is a scope to improve bandwidth, latency, energyconsumption, and total communication cost in the Fog environment. In this work investigation is done to showsignificance of task management in such resource constrained environment. Various heuristics and meta-heuristicalgorithms are evaluated using simulations, to show the task placement and their impacts by using 5 different Montagedatasets from work flow sim tool kit for Fog-Computing environment. Then QoS parameters like cost, makespan, andenergy consumptions are computed for various state-of-the-art techniques like Min-max, PSO, GA, ACO, and BLA. Thisshows the behaviour of these techniques with such different tasks and allocation environment configurations. Evaluatedresult parameters are collected and presented in the result section. This work shows the effectiveness of heuristics andmeta-heuristics techniques to manage the tasks and their allocations in the Fog environment.

【 授权许可】

CC BY-NC-SA