The memory constrained nature of mobile devices, such as smart phones, limits the amount of data that can be stored locally. As a result, mobile devices often rely on cellular connections to retrieve application data. Environmental factors, however, can partially or completely restrict cellular connectivity. Autonomic distributed caching mechanisms can be used to allow mobile device networks to self heal by storing data needed across multiple devices, but cannot be applied without a means to determine if devices are within a given range. Moreover, it is hard to identify the best way(s) of mapping application data to device memory to allow devices to self-heal in spite of limited cellular connectivity.

1. Brian Dougherty, Daniel Guymon, Douglas C. Schmidt and Jules White “Overcoming Cellular Connectivity Limitations with M2Blue Autonomic Distributed Data Caching”, CSI July 2011
2. Kevin Lee, Rizos Sakellariou, Norman W. Paton and Alvaro A. A. Fernandes, “Workflow Adaptation as an Autonomic Computing Problem”, Monterey, California, 2007.
3. Jeffrey O. Kephart, David M. Chess, “The Vision of Autonomic Computing”, Published by the IEEE Computer Society,2003.
4. Rania Al-Maghraby,” Standards Supporting Autonomic Computing: CIM”.,2007.
5. G. Anandharaj, Dr. R. Anitha, “A Distibuted Cache Management Architecture for Mobile Computing Environments”, 2009 IEEE International Advance Computing Conference (IACC 2009)
6. Mohammad Reza Nami, Koen Bertels, “A Survey of Autonomic Computing Systems”
7. Shanshan Chen, Hongxun Jiang, Member, IEEE, “Integrated Change and Release Management towards Autonomic Computing”, December 15, 2007.

Bluetooth Distributed Data Caching Memcached M2Blue