Segment-based proxy caching of multimedia streams
Proceedings of the 10th international conference on World Wide Web
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Computer Networks: The International Journal of Computer and Telecommunications Networking
Delivering energy proportionality with non energy-proportional systems: optimizing the ensemble
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Watching user generated videos with prefetching
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Blink: managing server clusters on intermittent power
Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems
Cellular data network infrastructure characterization and implication on mobile content placement
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
Over the top video: the gorilla in cellular networks
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
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The growth of smartphones combined with advances in mobile networking have revolutionized the way people consume multimedia data. In particular, users in developing countries primarily rely on smartphones since they often do not have access to more powerful (and more expensive) computing devices. Unfortunately, cellular networks in developing countries have historically had low reliability, due to grid instability and lack of infrastructure. The situation has led network operators to experiment with running cellular towers "off the grid" using intermittent renewable energy sources. In parallel, network operators are also experimenting with co-locating server caches close to cell towers to reduce access latency and back-haul bandwidth. In this paper, we study techniques for optimizing multimedia caches for intermittent renewable energy sources. Specifically, we examine how to apply a blinking abstraction proposed in prior work, which rapidly transitions servers between an active and inactive state, to improve the performance of a multimedia cache powered by renewables, called GreenCache. Our results show that GreenCache's staggered load-proportional blinking policy, which coordinates when servers are active over brief intervals, results in 3X less buffering (or pause) time by the client compared to an activation blinking policy, which simply activates and deactivates servers over long periods as power fluctuates, for realistic power variations from renewable energy sources.