Open AccessResource allocation scheme for Dew Computing paradigm using mobile grid
Author(s) -
Amit Savyanavar,
Vijay R. Ghorpade
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6545.078919
Subject(s) - computer science , distributed computing , testbed , grid , resource allocation , mobile device , grid computing , paradigm shift , scheme (mathematics) , computer network , operating system , mathematical analysis , philosophy , geometry , mathematics , epistemology
With the widespread availability of smartphones and advancement in communication technologies, Dew Computing paradigm(DCp) has emerged as a state-of-the-art computing paradigm. DCp provides an ecosystem to execute computationally intensive tasks which comprise of several subtasks. Each subtask is allocated for execution to an available and capable mobile device by taking into consideration its features like mobility, processing power, remaining battery, etc. This kind of “on-the-spot” paradigm comprises of mobile devices only which are part of mobile grid and it doesn’t use the fixed infrastructure based computing systems for computational purposes. Being resource constrained, such a paradigm needs an efficient scheme for allocation of resources. Here we propose a scheme called MGRA for allocation of computing nodes which takes into account challenging issues like mobility of users, inefficient resource allocation and handling of failure situations. Experimentation was carried out using a DCp testbed comprising Android devices connected with Wi-Fi Direct protocol. MGRA exhibited significant improvement in terms of time for application completion, amount of battery usage and time required for recovering from failure as compared to present-day approaches.