Augmenting Pervasive Environments with an XMPP-Based Mobile Cloud Middleware

نویسندگان

  • Dejan Kovachev
  • Yiwei Cao
  • Ralf Klamma
چکیده

Despite the rapid advances in mobile technology, many constraints still prohibit smartphones to run resource-demanding applications in pervasive environments. Emerging cloud computing opens an access to unlimited resources for mobile devices. However, the combination of both technologies to deliver sound mobile cloud applications and services raises new challenges and requirements. Based on a scenariobased requirement analysis and a comprehensive study on existing work for augmenting mobile devices, we propose a XMPP-based mobile cloud computing architecture employing module partitioning and adaptive offloading to nearby computing infrastructure. Research has also been done in the underlying offloading mechanism based on context-aware cost model. Further problems related to this approach are discussed as well, including selection of most optimal offloading plan, application partitioning and issues with XMPP on mobile systems.

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تاریخ انتشار 2010