Hyrax: Cloud Computing on Mobile Devices using MapReduce

Abstract

Today's smartphones operate independently of each other, using only local computing, sensing, networking, and storage capabilities and functions provided by remote Internet services. It is generally difficult or expensive for one smartphone to share data and computing resources with another. Data is shared through centralized services, requiring expensive uploads and downloads that strain wireless data networks. Collaborative computing is only achieved using ad hoc approaches. Coordinating smartphone data and computing would allow mobile applications to utilize the capabilities of an entire smartphone cloud while avoiding global network bottlenecks. In many cases, processing mobile data in-place and transferring it directly between smartphones would be more efficient and less susceptible to network limitations than off loading data and processing to remote servers. We have developed Hyrax, a platform derived from Hadoop that supports cloud computing on Android smartphones. Hyrax allows client applications to conveniently utilize data and execute computing jobs on networks of smartphones and heterogeneous networks of phones and servers. By scaling with the number of devices and tolerating node departure, Hyrax allows applications to use distributed resources abstractly, oblivious to the physical nature of the cloud. The design and implementation of Hyrax is described, including experiences in porting Hadoop to the Android platform and the design of mobile specific customizations. The scalability of Hyrax is evaluated experimentally and compared to that of Hadoop. Although the performance of Hyrax is poor for CPU-bound tasks, it is shown to tolerate node-departure and offer reasonable performance in data sharing. A distributed multimedia search and sharing application is implemented to qualitatively evaluate Hyrax from an application development perspective.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA512601

Entities

People

  • Eugene E. Marinelli

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Cloud Computing
  • Computer Networks
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Centers
  • Heterogeneous Networks
  • Mesh Networks
  • Mobile Computing
  • Mobile Devices
  • Mobile Operating Systems
  • Mobile Phones
  • Mobile Software
  • Operating Systems
  • Smartphones
  • Social Media
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development
  • Parallel and Distributed Computing.