J. Flinn, S. Park, and M. Satyanarayanan. Balancing performance, energy, and quality in pervasive computing. In Proc. of the 22nd Intl. Conf. on Distributed Computing Systems, July, 2002. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
USENIX Association - The First International Self-citation (Satyanarayanan) (Correct)
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J. Flinn, S. Park, and M. Satyanarayanan. Balancing Performance, Energy, and Quality in Pervasive Computing. In Proc. 22nd International Conference on Distributed Computing Systems (ICDCS '02), pages 217--226, Vienna, Austria, July 2002.
Predictive Resource Management for Wearable Computing - Narayanan, Satyanarayanan (2003) (6 citations) Self-citation (Satyanarayanan) (Correct)
....hardware it is running on. The second approach is to acquire additional resources through remote execution. Even a resource impoverished wearable computer such as the IBM Linux wristwatch [29] can use compute servers to run resource intensive applications. In previous work, we described Spectra [14], a remote execution subsystem layered on the multi fidelity framework described here. We are further exploring remote execution in current work [4] However, there are many situations in which a mobile user has no access to compute servers and must therefore rely solely on the resources of his ....
J. Flinn, S. Park, and M. Satyanarayanan. Balancing Performance, Energy, and Quality in Pervasive Computing. In Proc. 22nd International Conference on Distributed Computing Systems (ICDCS '02), pages 217--226, Vienna, Austria, July 2002.
The Case for Cyber Foraging - Balan, Flinn, Satyanarayanan.. (2002) (2 citations) Self-citation (Flinn Satyanarayanan) (Correct)
....Automatically using extra available resources in an over provisioned environment to improve application performance We currently trust surrogates used for remote execution. Developing the mechanisms for establishing this trust remains future work. We have implemented a system called Spectra [3] that monitors the current resource availability and dynamically determines the best remote execution plan for a given application. To make this decision, Spectra measures the supply and demand for many different resources such as bandwidth, file cache state, CPU, and battery life. Figure 2 ....
J. Flinn, S. Park, and M. Satyanarayanan. Balancing Performance, Energy, and Quality in Pervasive Computing. In Proceedings of the 22nd International Conference on. Distributed Computing Systems, Vienna, Austria, July 2002.
A Lightweight Secure Cyber Foraging Infrastructure for.. - Goyal, Carter (2004) (Correct)
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J. Flinn, S. Park, and M. Satyanarayanan. Balancing performance, energy, and quality in pervasive computing. In Proc. of the 22nd Intl. Conf. on Distributed Computing Systems, July, 2002.
NWSLite: A Light-Weight Prediction Utility for Mobile Devices - Gurun, Krintz, Wolski (2004) (4 citations) (Correct)
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J. Flinn, S. Park, and M. Satyanarayanan. Balancing performance, energy, and quality in pervasive computing. In International Conference on Distributed Computing Systems (ICDCS '02), pages 217--226, 2002.
NWSLite: A Non-Parametric Prediction Utility for.. - Gurun, Krintz, Wolski (Correct)
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J. Flinn, S. Park, and M. Satyanarayanan. Balancing performance, energy, and quality in pervasive computing. In International Conference on Distributed Computing Systems (ICDCS '02), pages 217--226, 2002.
Adaptive Offloading for Pervasive Computing - Xiaohui Gu Alan (Correct)
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J. Flinn, S. Park, and M. Satyanarayanan. Balancing Performance, Energy, and Quality in Pervasive Computing. Proc. of 22nd IEEE International Conference on Distributed Computing Systems (ICDCS 2002.
NWSLite: A Non-Parametric Prediction Utility for.. - Gurun, Krintz, Wolski (2003) (Correct)
No context found.
J. Flinn, S. Park, and M. Satyanarayanan. Balancing performance, energy, and quality in pervasive computing. In In Proc. 22nd International Conference on Distributed Computing Systems (ICDCS '02), pages 217--226, 2002.
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