%0 Conference Paper %1 Simmhan:sciencecloud:2011 %A Simmhan, Yogesh %A Cao, Baohua %A Giakkoupis, Michail %A Prasanna, Viktor K. %B ACM International Workshop on Scientific Cloud Computing (ScienceCloud) %D 2011 %K cloud, grid, paper peer reviewed, short smart streaming, usc, %P 33--38 %R 10.1145/1996109.1996116 %T Adaptive rate stream processing for smart grid applications on clouds %U http://ceng.usc.edu/~simmhan/pubs/simmhan-sciencecloud-2011.pdf %X Pervasive smart meters that continuously measure power usage by consumers within a smart (power) grid are providing utilities and power systems researchers with unprecedented volumes of information through streams that need to be processed and analyzed in near realtime. We introduce the use of Cloud platforms to perform scalable, latency sensitive stream processing for eEngineering applications in the smart grid domain. One unique aspect of our work is the use of adaptive rate control to throttle the rate of generation of power events by smart meters, which meets accuracy requirements of smart grid applications while consuming 50% lesser bandwidth resources in the Cloud. %@ 978-1-4503-0699-7

@inproceedings{Simmhan:sciencecloud:2011, abstract = {Pervasive smart meters that continuously measure power usage by consumers within a smart (power) grid are providing utilities and power systems researchers with unprecedented volumes of information through streams that need to be processed and analyzed in near realtime. We introduce the use of Cloud platforms to perform scalable, latency sensitive stream processing for eEngineering applications in the smart grid domain. One unique aspect of our work is the use of adaptive rate control to throttle the rate of generation of power events by smart meters, which meets accuracy requirements of smart grid applications while consuming 50% lesser bandwidth resources in the Cloud.}, added-at = {2023-04-07T07:37:58.000+0200}, author = {Simmhan, Yogesh and Cao, Baohua and Giakkoupis, Michail and Prasanna, Viktor K.}, biburl = {https://www.bibsonomy.org/bibtex/2505300c5ef56d1d5b0e44ad6dc4e4eb2/vinayaka2000}, booktitle = {ACM International Workshop on Scientific Cloud Computing (ScienceCloud)}, doi = {10.1145/1996109.1996116}, interhash = {eebe8705f778786b411342471b0f10a6}, intrahash = {505300c5ef56d1d5b0e44ad6dc4e4eb2}, isbn = {978-1-4503-0699-7}, keywords = {cloud, grid, paper peer reviewed, short smart streaming, usc,}, location = {San Jose, California, USA}, month = {June}, owner = {Simmhan}, pages = {33--38}, timestamp = {2023-04-07T07:37:58.000+0200}, title = {Adaptive rate stream processing for smart grid applications on clouds}, url = {http://ceng.usc.edu/~simmhan/pubs/simmhan-sciencecloud-2011.pdf}, year = 2011 }