Scalable stateful stream processing for smart grids

DEBS 2014 - Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems

Volumn , Issue , 2014, Pages 276-281

  Fernandez, Raul Castro ^a   Weidlich, Matthias ^a   Pietzuch, Peter ^a   Gal, Avigdor ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

distributed systems; load shedding; stream processing

Indexed keywords

FAULT TOLERANT COMPUTER SYSTEMS; SEMANTICS; SMART POWER GRIDS;

DATA STREAM PROCESSING; DEBS GRAND CHALLENGES; DISTRIBUTED SYSTEMS; EVENT-BASED SYSTEM; HIGH SCALABILITIES; LOAD-SHEDDING; PREDICTION ERRORS; STREAM PROCESSING;

SOFTWARE ARCHITECTURE;

EID: 84903209018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2611286.2611326     Document Type: Conference Paper

References (15)

1. http://esper.codehaus.org/.
2. http://lsds.doc.ic.ac.uk/projects/seep/debs14-gc.
3. J. Agrawal, Y. Diao, D. Gyllstrom, and N. Immerman. Efficient pattern matching over event streams. In SIGMOD, pages 147-160. ACM, 2008.
4. B. Babcock, M. Datar, and R. Motwani. Load shedding in data stream systems. In Data Streams, volume 31 of Advances in Database Systems, pages 127-147. Springer, 2007.
5. A. Bifet, G. Holmes, R. Kirkby, and B. Pfahringer. Moa: Massive online analysis. The Journal of Machine Learning Research, 99:1601-1604, 2010.
6. C. Bockermann and H. Blom. The streams framework. Technical Report 5, TU Dortmund University, 2012.
7. R. C. Fernandez, M. Migliavacca, E. Kalyvianaki, and P. Pietzuch. Integrating scale out and fault tolerance in stream processing using operator state management. In SIGMOD, pages 725-736. ACM, 2013.
8. J. Kreps, N. Narkhede, and J. Rao. Kafka: A distributed messaging system for log processing. In NetDB, 2011.
9. N. Marz. Storm - distributed and fault-tolerant realtime computation, 2013.
10. D. G. Murray, F. McSherry, et al. Naiad: A Timely Dataflow System. In SOSP, 2013.
11. L. Neumeyer, B. Robbins, A. Nair, and A. Kesari. S4: Distributed stream computing platform. In Data Mining Workshops (ICDMW), pages 170-177. IEEE, 2010.
12. W. Pugh. Skip lists: A probabilistic alternative to balanced trees. Commun. ACM, 33(6):668-676, 1990. (Pubitemid 21672422)
13. N. Tatbul, U. Çetintemel, and S. Zdonik. Staying fit: Efficient load shedding techniques for distributed stream processing. In VLDB, pages 159-170. VLDB Endowment, 2007.
14. M. Zaharia, T. Das, H. Li, T. Hunter, S. Shenker, and I. Stoica. Discretized Streams: Fault-tolerant Streaming Computation at Scale. In SOSP, 2013.
15. H. Ziekow and Z. Jerzak. The DEBS 2014 Grand Challenge. In DEBS, Mubai, India, July 2014. ACM.