Abstract
Battery-powered devices such as laptops, cell phones, and MP3 players are becoming ubiquitous. There are several significant ways in which the ubiquity of battery-powered technology impacts the field of collaborative computing. First, applications such as collaborative data gathering, become possible. Also, existing applications that depend on collaborating devices to maintain the system infrastructure must be reconsidered. Fundamentally, the problem lies in the fact that collaborative applications often require end-user computing devices to perform tasks that happen in the background and are not directly advantageous to the user. In this work, we seek to better understand how laptop users use the batteries attached to their devices and analyze a battery-aware alternative to Gnutella’s ultrapeer selection algorithm. Our algorithm provides insight into how system maintenance tasks can be allocated to battery-powered nodes. The most significant result of our study indicates that a large portion of laptop users can participate in system maintenance without sacrificing any of their battery. These results show great promise for existing collaborative applications as well as new applications, such as collaborative data gathering, that rely upon battery-powered devices.
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Rollins, S., Chang-Yit, C. (2009). A Battery-Aware Algorithm for Supporting Collaborative Applications. In: Bertino, E., Joshi, J.B.D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03354-4_44
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DOI: https://doi.org/10.1007/978-3-642-03354-4_44
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