A mobile grid (MG) consists of interconnected mobile devices which are used for high performance computing. Fault tolerance is an important property of mobile computational grid systems for achieving superior arrangement reliability and faster recovery from failures. Since the failure of the resources affects task execution fatally, fault tolerance service is essential to achieve QoS requirement in MG. The faults which occur in MG are link failure, node failure, task failure, limited bandwidth etc. Detecting these failures can help in better utilisation of the resources and timely notification to the user in a MG environment. These failures result in loss of computational results and data. Many algorithms or techniques were proposed for failure handling in traditional grids. The authors propose a checkpointing based failure handling technique which will improve arrangement reliability and failure recovery time for the MG network. Experimentation was conducted by creating a grid of ubiquitously available Android-based mobile phones.

Amit Sadanand Savyanavar

School of Computer Engineering & Technology

Engineering and Technology

Vijay R. Ghorpade

MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Application Checkpointing Technique for Self-Healing From Failures in Mobile Grid Computing

International Journal of Grid and High Performance Computing

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.

Fulltext

International Journal of Innovative Technology and Exploring Engineering

Resource allocation scheme for Dew Computing paradigm

Application Checkpointing Technique for Self-healing from Failures in Mobile Grid Computing

Mobile grid (MG) is emergi ng as a new computing paradigm due to the ubiquitous availability of mobile devices. With the advancement in the capability of these devices, computationally intensive tasks can be executed using a peer-to-peer grid of such devices. MG can provide an edifice to execute parallel computationally intensive tasks. Key challenges that crop up while computing on a MG are resource constrained environment, inefficient resource allocation, high failure probability, etc. As a result, selection of appropriate nodes for task execution becomes critical for successful execution of the application. In this paper, we propose an efficient resource allocation model (ERAM) which provides resource allocation with failure handling. We created a MG comprising of Wi-Fi Direct connected Android smartphones. Different scenarios are considered for the purpose of experimentation. Our approach performs well with respect to application completion time, % battery consumption and recovery time from failure in comparison with existing techniques.

Journal	International Journal of Grid and High Performance Computing
Publisher	IGI Global
ISSN	19380259
Open Access	No