Moset: An anonymous remote mobile cluster computing paradigm

  • Authors:

  • M.A. Maluk Mohamed;A. Vijay Srinivas;D. Janakiram

  • Affiliations:

  • Distributed & Object Systems Lab, Department of CS & E, Indian Institute of Technology Madras, Chennai, India;Distributed & Object Systems Lab, Department of CS & E, Indian Institute of Technology Madras, Chennai, India;Distributed & Object Systems Lab, Department of CS & E, Indian Institute of Technology Madras, Chennai, India

  • Venue:
  • Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part I
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

The advance of technology in terms of cellular communications and the increasing computing power of the mobile systems have made it convenient for people to use more of mobile systems rather than static systems. This has seen more of mobile devices in personal and distributed computing, thus making the computing power ubiquitous. The combination of wireless communication and cluster computing in many applications has led to the integration of these two technologies to emerge as Mobile Cluster Computing (MCC) paradigm. This has made parallel computing feasible on mobile clusters, by making use of the idle processing power of the static and mobile nodes that form the cluster. To realize such a system for parallel computing, various issues such as connectivity, architecture and operating system heterogeneities, timeliness issues, load fluctuations on machines, machine availability variations and failures in workstations and network connectivities need to be handled. Moset, an Anonymous Remote Mobile Cluster Computing (ARMCC) paradigm is being proposed to handle these issues. Moset provides transparency to mobility of nodes, distribution of computing resources and heterogeneity of wired and wireless networks. The model has been verified and validated by implementing a distributed image-rendering algorithm over a simulated mobile cluster model.