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Optimizing push/pull envelopes for energy-efficient cloud-sensor systems

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Optimizing push/pull envelopes for energy-efficient cloud-sensor systems. / Xu, Y.; Helal, Sumi; Thai, M.T.; Schmalz, M.; SIGSIM, ACM.

MSWiM '11 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems. New York : ACM, 2011. p. 17-26.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Xu, Y, Helal, S, Thai, MT, Schmalz, M & SIGSIM, ACM 2011, Optimizing push/pull envelopes for energy-efficient cloud-sensor systems. in MSWiM '11 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems. ACM, New York, pp. 17-26. https://doi.org/10.1145/2068897.2068904

APA

Xu, Y., Helal, S., Thai, M. T., Schmalz, M., & SIGSIM, ACM. (2011). Optimizing push/pull envelopes for energy-efficient cloud-sensor systems. In MSWiM '11 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems (pp. 17-26). ACM. https://doi.org/10.1145/2068897.2068904

Vancouver

Xu Y, Helal S, Thai MT, Schmalz M, SIGSIM ACM. Optimizing push/pull envelopes for energy-efficient cloud-sensor systems. In MSWiM '11 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems. New York: ACM. 2011. p. 17-26 https://doi.org/10.1145/2068897.2068904

Author

Xu, Y. ; Helal, Sumi ; Thai, M.T. ; Schmalz, M. ; SIGSIM, ACM. / Optimizing push/pull envelopes for energy-efficient cloud-sensor systems. MSWiM '11 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems. New York : ACM, 2011. pp. 17-26

Bibtex

@inproceedings{5f48f52cc63c4028921e8fc2ed0ad5c2,
title = "Optimizing push/pull envelopes for energy-efficient cloud-sensor systems",
abstract = "Unlike traditional distributed systems, where the resources/needs of computation and communication dominate the performance equation, sensor-based systems (SBS) raise new metrics and requirements for sensors as well as for computing and communication. This includes sensing latency and energy consumption. In this paper, we present a performance model for SBS based on a three-tier architecture that uses edge devices to connect massive-scale networks of sensors to the cloud. In this architecture, which we call Cloud, Edge, and Beneath (CEB), initial processing of sensor data occurs in- and near-network, in order to achieve system sentience and energy efficiency. To optimize CEB performance, we propose the concept of optimal push/pull envelope (PPE). PPE dynamically and minimally adjusts the base push and pull rates for each sensor, according to the relative characteristics of sensor requests (demand side from the Cloud) and sensor data change (supply side from Beneath). We demonstrate the CEB architecture and its push/pull envelope optimization algorithm in an experimental evaluation that measures energy savings and sentience efficiency over a wide range of practical constraints. In addition, from the experiments we demonstrate that by combining PPE optimization algorithm with lazy sampling algorithm, we can achieve further energy saving. Copyright 2011 ACM.",
keywords = "Cloud computing, Energy efficiency, Optimization, Performance, Pervasive computing, Push pull envelope, Sentience efficiency, Demand-side, Distributed systems, Energy efficient, Experimental evaluation, Optimization algorithms, Performance Model, Push pull, Sampling algorithm, Sensor based systems, Sensor data, Three-tier architecture, Algorithms, Communication, Data handling, Energy utilization, Network architecture, Sensors, Ubiquitous computing",
author = "Y. Xu and Sumi Helal and M.T. Thai and M. Schmalz and ACM SIGSIM",
year = "2011",
doi = "10.1145/2068897.2068904",
language = "English",
isbn = "9781450308984",
pages = "17--26",
booktitle = "MSWiM '11 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Optimizing push/pull envelopes for energy-efficient cloud-sensor systems

AU - Xu, Y.

AU - Helal, Sumi

AU - Thai, M.T.

AU - Schmalz, M.

AU - SIGSIM, ACM

PY - 2011

Y1 - 2011

N2 - Unlike traditional distributed systems, where the resources/needs of computation and communication dominate the performance equation, sensor-based systems (SBS) raise new metrics and requirements for sensors as well as for computing and communication. This includes sensing latency and energy consumption. In this paper, we present a performance model for SBS based on a three-tier architecture that uses edge devices to connect massive-scale networks of sensors to the cloud. In this architecture, which we call Cloud, Edge, and Beneath (CEB), initial processing of sensor data occurs in- and near-network, in order to achieve system sentience and energy efficiency. To optimize CEB performance, we propose the concept of optimal push/pull envelope (PPE). PPE dynamically and minimally adjusts the base push and pull rates for each sensor, according to the relative characteristics of sensor requests (demand side from the Cloud) and sensor data change (supply side from Beneath). We demonstrate the CEB architecture and its push/pull envelope optimization algorithm in an experimental evaluation that measures energy savings and sentience efficiency over a wide range of practical constraints. In addition, from the experiments we demonstrate that by combining PPE optimization algorithm with lazy sampling algorithm, we can achieve further energy saving. Copyright 2011 ACM.

AB - Unlike traditional distributed systems, where the resources/needs of computation and communication dominate the performance equation, sensor-based systems (SBS) raise new metrics and requirements for sensors as well as for computing and communication. This includes sensing latency and energy consumption. In this paper, we present a performance model for SBS based on a three-tier architecture that uses edge devices to connect massive-scale networks of sensors to the cloud. In this architecture, which we call Cloud, Edge, and Beneath (CEB), initial processing of sensor data occurs in- and near-network, in order to achieve system sentience and energy efficiency. To optimize CEB performance, we propose the concept of optimal push/pull envelope (PPE). PPE dynamically and minimally adjusts the base push and pull rates for each sensor, according to the relative characteristics of sensor requests (demand side from the Cloud) and sensor data change (supply side from Beneath). We demonstrate the CEB architecture and its push/pull envelope optimization algorithm in an experimental evaluation that measures energy savings and sentience efficiency over a wide range of practical constraints. In addition, from the experiments we demonstrate that by combining PPE optimization algorithm with lazy sampling algorithm, we can achieve further energy saving. Copyright 2011 ACM.

KW - Cloud computing

KW - Energy efficiency

KW - Optimization

KW - Performance

KW - Pervasive computing

KW - Push pull envelope

KW - Sentience efficiency

KW - Demand-side

KW - Distributed systems

KW - Energy efficient

KW - Experimental evaluation

KW - Optimization algorithms

KW - Performance Model

KW - Push pull

KW - Sampling algorithm

KW - Sensor based systems

KW - Sensor data

KW - Three-tier architecture

KW - Algorithms

KW - Communication

KW - Data handling

KW - Energy utilization

KW - Network architecture

KW - Sensors

KW - Ubiquitous computing

U2 - 10.1145/2068897.2068904

DO - 10.1145/2068897.2068904

M3 - Conference contribution/Paper

SN - 9781450308984

SP - 17

EP - 26

BT - MSWiM '11 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

PB - ACM

CY - New York

ER -