Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kumbhare, Alok"'
Autor:
Kumbhare, Alok, Azimi, Reza, Manousakis, Ioannis, Bonde, Anand, Frujeri, Felipe, Mahalingam, Nithish, Misra, Pulkit, Javadi, Seyyed Ahmad, Schroeder, Bianca, Fontoura, Marcus, Bianchini, Ricardo
Datacenter designers rely on conservative estimates of IT equipment power draw to provision resources. This leaves resources underutilized and requires more datacenters to be built. Prior work has used power capping to shave the rare power peaks and
Externí odkaz:
http://arxiv.org/abs/2010.15388
Autor:
Simmhan, Yogesh, Kumbhare, Alok
Applications in cyber-physical systems are increasingly coupled with online instruments to perform long running, continuous data processing. Such "always on" dataflow applications are dynamic, where they need to change the applications logic and perf
Externí odkaz:
http://arxiv.org/abs/1406.5977
Autor:
Simmhan, Yogesh, Wickramaarachchi, Charith, Kumbhare, Alok, Frincu, Marc, Nagarkar, Soonil, Ravi, Santosh, Raghavendra, Cauligi, Prasanna, Viktor
Publikováno v:
Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2015) pp. 809-818
Graphs are a key form of Big Data, and performing scalable analytics over them is invaluable to many domains. As our ability to collect data grows, there is an emerging class of inter-connected data which accumulates or varies over time, and on which
Externí odkaz:
http://arxiv.org/abs/1406.5975
Autor:
Simmhan, Yogesh, Kumbhare, Alok, Wickramaarachchi, Charith, Nagarkar, Soonil, Ravi, Santosh, Raghavendra, Cauligi, Prasanna, Viktor
Publikováno v:
Proceedings of the European Conference on Parallel Processing (Euro-Par 2014), Lecture Notes in Computer Science, vol. 8632, pp. 451-462
Large scale graph processing is a major research area for Big Data exploration. Vertex centric programming models like Pregel are gaining traction due to their simple abstraction that allows for scalable execution on distributed systems naturally. Ho
Externí odkaz:
http://arxiv.org/abs/1311.5949
Akademický článek
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Publikováno v:
2015 IEEE 35th International Conference on Distributed Computing Systems; 2015, p328-338, 11p
Autor:
Simmhan, Yogesh, Choudhury, Neel, Wickramaarachchi, Charith, Kumbhare, Alok, Frincu, Marc, Raghavendra, Cauligi, Prasanna, Viktor
Publikováno v:
2015 IEEE International Parallel & Distributed Processing Symposium; 2015, p809-818, 10p
Autor:
Wickramaarachchi, Charith, Kumbhare, Alok, Frincu, Marc, Chelmis, Charalampos, Prasanna, Viktor K.
Publikováno v:
2015 15th IEEE/ACM International Symposium on Cluster, Cloud & Grid Computing; 2015, p829-834, 6p
Autor:
Simmhan, Yogesh, Kumbhare, Alok, Wickramaarachchi, Charith, Nagarkar, Soonil, Ravi, Santosh, Raghavendra, Cauligi, Prasanna, Viktor
Publikováno v:
Euro-Par 2014 Parallel Processing; 2014, p451-462, 12p
Publikováno v:
2014 14th IEEE/ACM International Symposium on Cluster, Cloud & Grid Computing; 2014, p344-353, 10p