vTube: efficient streaming of virtual appliances over last-mile networks

  • Authors:
  • Yoshihisa Abe;Roxana Geambasu;Kaustubh Joshi;H. Andrés Lagar-Cavilla;Mahadev Satyanarayanan

  • Affiliations:
  • Carnegie Mellon University;Columbia University;AT&T Research;GridCentric;Carnegie Mellon University

  • Venue:
  • Proceedings of the 4th annual Symposium on Cloud Computing
  • Year:
  • 2013

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Abstract

Cloud-sourced virtual appliances (VAs) have been touted as powerful solutions for many software maintenance, mobility, backward compatibility, and security challenges. In this paper, we ask whether it is possible to create a VA cloud service that supports fluid, interactive user experience even over mobile networks. More specifically, we wish to support a YouTube-like streaming service for executable content, such as games, interactive books, research artifacts, etc. Users should be able to post, browse through, and interact with executable content swiftly and without long interruptions. Intuitively, this seems impossible; the bandwidths, latencies, and costs of last-mile networks would be prohibitive given the sheer sizes of virtual machines! Yet, we show that a set of carefully crafted, novel prefetching and streaming techniques can bring this goal surprisingly close to reality. We show that vTube, a VA streaming system that incorporates our techniques, supports fluid interaction even in challenging network conditions, such as 4G LTE.