Abstract
Conservation of battery power is one of the main issues in mobile computing. In this paper, we propose to exploit a grid infrastructure to extend the battery life of mobile devices based on the contexts of mobile applications, devices, and grid systems. In doing so, we present a framework, called SGA (selective grid access), to optimally utilize the limited resources of mobile devices and grids. SGA aims to reconfigure the placement of mobile applications on either the mobile device or grid nodes and to adjust QoS level according to the current context of the residual energy and the resource availability of the grids. Simulation-based experiments show that as the number of applications increases, the SGA-based scheme greatly reduces the energy consumption and response time in comparison with the traditional proxy-based approach.
This work was supported by the Brain Korea 21 Project in 2007.
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References
Fuggetta, A., Picco, G.P., Vigna, G.: Understanding code mobility. IEEE Transactions on Software Engineering 24(5), 342–361 (1998)
Hampshire, A.: Extending the open grid services architecture to intermittently available wireless networks. In: Proceedings of UK eScience All Hands (2004)
Shmoys, D.B., Tardos, E.: An approximation algorithm for the generalized assignment problem. Mathematical Programming 62(3), 461–474 (1993)
Chu, D., Humphrey, M.: Mobile OGSI.NET: grid computing on mobile devices. In: Proceedings of the IEEE/ACM International Workshop on Grid Computing, pp. 182–191 (2004)
Park, E., Shin, H.: Software-migration policy for power-aware mobile computing under network resource constraints. In: Proceedings of the International Workshop on Mobility Aware Technology and Applications, pp. 25–29 (2004)
Ross, G.T., Soland, R.M.: A branch and bound algorithm for the generalized assignment problem. Mathematical Programming 8, 91–103 (1975)
IBM Tokyo: Research Lab, Aglets: mobile java agents, http://www.trl.ibm.com/aglets
Intel Corporation, Intel boxed processors (2004), http://support.intel.com/support/processors/sb/CS-017346.htm
Flinn, J., Satyanarayanan, M.: Energy-aware adaptation for mobile applications. In: Proceedings of the ACM Symposium on Operating Systems Principles, pp. 48–63 (1999)
Jansen, K., Porkolab, L.: Improved approximation schemes for scheduling unrelated parallel machines. In: Proceedings of the ACM Symposium on Theory of Computing, 408–417 (1999)
Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network Flows. Prentice-Hall, Englewood Cliffs (1993)
Chandra, S., Gehani, A., Ellis, C.S., Vahdat, A.: Transcoding characteristics of web images. In: Proceedings of the Multimedia Computing and Networking, pp. 135–149 (2001)
Kurkovsky, S., Bhagyavati, Ray, A.: Modeling a grid-based problem-solving environment for mobile devices. Journal of Digital Information Management 2(2) (2004)
Mohapatra, S., Venkatasubramanian, N.: PARM: power aware reconfigurable middleware. In: Proceedings of the International Conference on Distributed Computer Systems, pp. 312–320 (2003)
Mohapatra, S., Cornea, R., Dutt, N., Nicolau, A., Venkatasubramanian, N.: Integrated power management for video streaming to mobile handheld devices. In: Proceedings of the ACM international conference on Multimedia, pp. 582–591 (2003)
Park, S., Ko, Y., Kim, J.: Disconnected operation service in mobile grid computing. In: Proceedings of the International Conference on Service Oriented Computing, pp. 499–513 (2003)
VINT Project: Network simulator ns-2, http://www.isi.edu/nsnam/ns/index.html
Zhang, W., Zhang, J., Ma, D., Wang, B., Chen, Y.: Key technique research on grid mobile service. In: Proceedings of the International Conference on Information Technology for Application, pp. 142–150 (2004)
Li, Z., Wang, C., Xu, R.: Task allocation for distributed multimedia processing on wirelessly networked handheld devices. In: Proceedings of the International Parallel and Distributed Processing Symposium, pp. 79–81 (2002)
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Park, E., Shin, H., Kim, S.J. (2007). Selective Grid Access for Energy-Aware Mobile Computing. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_78
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DOI: https://doi.org/10.1007/978-3-540-73549-6_78
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