Publication Details
Title: Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters
Author: M. Zaharia, T. Das, H. Li, S. Shenker and I. Stoica
Group: Networking
Date: June 2012
PDF: http://www.icsi.berkeley.edu/pubs/networking/ICSI_discretizedstreams12.pdf
Acknowledgements:
This work was partially supported by funding provided to ICSI by an NSF CISE Expeditions award, gifts from Google, SAP, Amazon WebServices, Blue Goji, Cisco, Cloudera, Ericsson, General Electric, Hewlett Packard, Huawei, Intel, Mark-Logic, Microsoft, NetApp, Oracle, Quanta, Splunk, and VMware, as well as by funding provided to ICSI by the U.S. Defense Advanced Research Projects Agency (DARPA). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funders.
Bibliographic Information:
In the Proceedings of the 4th USENIX Conference on Hot Topics in Cloud Computing (HotCloud ’12), Boston, MA
Bibliographic Reference:
M. Zaharia, T. Das, H. Li, S. Shenker and I. Stoica. Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. In the Proceedings of the 4th USENIX Conference on Hot Topics in Cloud Computing (HotCloud ’12), Boston, MA, June 2012
Author: M. Zaharia, T. Das, H. Li, S. Shenker and I. Stoica
Group: Networking
Date: June 2012
PDF: http://www.icsi.berkeley.edu/pubs/networking/ICSI_discretizedstreams12.pdf
Acknowledgements:
This work was partially supported by funding provided to ICSI by an NSF CISE Expeditions award, gifts from Google, SAP, Amazon WebServices, Blue Goji, Cisco, Cloudera, Ericsson, General Electric, Hewlett Packard, Huawei, Intel, Mark-Logic, Microsoft, NetApp, Oracle, Quanta, Splunk, and VMware, as well as by funding provided to ICSI by the U.S. Defense Advanced Research Projects Agency (DARPA). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funders.
Bibliographic Information:
In the Proceedings of the 4th USENIX Conference on Hot Topics in Cloud Computing (HotCloud ’12), Boston, MA
Bibliographic Reference:
M. Zaharia, T. Das, H. Li, S. Shenker and I. Stoica. Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. In the Proceedings of the 4th USENIX Conference on Hot Topics in Cloud Computing (HotCloud ’12), Boston, MA, June 2012