Revenue models for streaming applications over shared clouds

Proceedings of the 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2012

Volumn , Issue , 2012, Pages 460-465

  Tolosana Calasanz, Rafael ^a   Banares, José Ángel ^a   Pham, Congduc ^b   Rana, Omer F ^c  

^a UNIVERSITY OF ZARAGOZA   (Spain)

^b UNIVERSITÉ DE PAU ET DES PAYS DE L'ADOUR   (France)

^c CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Cloud computing; Streaming workflows

Indexed keywords

COMPUTATIONAL RESOURCES; CONTROL LOOP; MULTIPLE USER; OPERATIONAL COSTS; REVENUE MODELS; SERVICE LEVEL AGREEMENTS; STREAMING APPLICATIONS; TOKEN BUCKET; WORK-FLOWS;

CLOUD COMPUTING; COMMERCE; COSTS; DISTRIBUTED PARAMETER NETWORKS; ECONOMICS; QUALITY OF SERVICE;

COST BENEFIT ANALYSIS;

EID: 84867267265     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISPA.2012.67     Document Type: Conference Paper

References (20)

1. Y. Simmhan, B. Cao, M. Giakkoupis, and V. K. Prasanna, "Adaptive rate stream processing for smart grid applications on clouds," in 2nd Intl workshop on Scientific cloud computing, ScienceCloud '11. New York, NY, USA: ACM, 2011, pp. 33-38.
2. D. Zinn, Q. Hart, T. McPhillips, B. Ludaescher, Y. Simmhan, M. Giakkoupis, and V. K. Prasanna, "Towards reliable, performant workflows for streaming-applications on cloud platforms," in 11st Intl Symposium on Cluster, Cloud and Grid Computing (CCGrid 2011), May 2011, Newport Beach, USA, 2011.
3. R. Tolosana, J. A. Bañare, C. Pham, and O. Rana, "Enforcing QoS in scientific workflow systems enacted over cloud infrastructures," JCSS, 2012.
4. R. Tolosana-Calasanz, J. A. Bañares, C. Pham, and O. F. Rana, "End-to-end QoS on shared clouds for highly dynamic, large-scale sensing data streams," in 1st Intl Workshop on Data-intensive Process Management in Large-Scale Sensor Systems (DPMSS12): From Sensor Networks to Sensor Clouds, 2012.
5. C. Partridge, Gigabit Networking. Addison-Wesley, 1994.
6. B. Biörnstad, A workflow approach to stream processing, 2008. [Online]. Available: http://books.google.es/books?id=-NLRSAAACAAJ
7. C. Pautasso and G. Alonso, "Parallel computing patterns for Grid workflows," in HPDC06 Workshop on Workflows in Support of Large-Scale Science (WORKS06) June 19-23, Paris, France, 2006.
8. R. Tolosana-Calasanz, J. A. Bañares, and O. F. Rana, "Autonomic streaming pipeline for scientific workflows," Concurr. Comput. : Pract. Exper., vol. 23, no. 16, pp. 1868-1892, 2011.
9. R. Tolosana-Calasanz, J. A. Bañares, O. F. Rana, P. Álvarez, J. Ezpeleta, and A. Hoheisel, "Adaptive exception handling for scientific workflows," Concurr. Comput. : Pract. Exper., vol. 22, no. 5, pp. 617-642, 2010.
10. R. Tolosana-Calasanz, J. A. Bañares, P. Álvarez, J. Ezpeleta, and O. F. Rana, "An Uncoordinated Asynchronous Checkpointing Model for Hierarchical Scientific Workflows," JCSS, 76(6), pp. 403-415, 2010.
11. R. Tolosana-Calasanz, M. Lackovic, O. F. Rana, J. A. Bañares, and D. Talia, "Characterizing quality of resilience in scientific workflows," in 6th workshop on Workflows in support of large-scale science, WORKS '11. NY, USA: ACM, 2011, pp. 117-126.
12. S. Chakravarthy and Q. Jiang, Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing, 1st ed. Springer, 2009.
13. M. Cherniack, H. Balakrishnan, M. Balazinska, D. Carney, U. Çetintemel, Y. Xing, and S. B. Zdonik, "Scalable distributed stream processing," in CIDR, 2003.
14. D. J. Abadi et al., "The Design of the Borealis Stream Processing Engine," in 2nd Biennial Conference on Innovative Data Systems Research (CIDR 2005), Asilomar, CA, January 2005.
15. V. Gulisano, R. Jimenez-Peris, M. Patino-Martinez, and P. Valduriez, "Streamcloud: A large scale data streaming system," in IEEE ICDCS, june 2010, pp. 126 -137.
16. O. Etzion and P. Niblett, Event Processing in Action. Manning, 2010.
17. S.-M. Park and M. Humphrey, "Data throttling for data-intensive workflows," in 22nd IEEE IPDPS, Miami, Florida USA, April 14-18, 2008. IEEE, 2008, pp. 1-11.
18. I. Taylor, M. Shields, I. Wang, and A. Harrison, Workflows for eScience. Springer, 2007, ch. The Triana Workflow Environment: Architecture and Applications, pp. 320-339.
19. T. M. McPhillips and S. Bowers, "An approach for pipelining nested collections in scientific workflows," SIGMOD Record, vol. 34, no. 3, pp. 12-17, 2005.
20. T. Oinn et al., "Taverna: lessons in creating a workflow environment for the life sciences: Research articles," Concurr. Comput. : Pract. Exper., vol. 18, no. 10, pp. 1067-1100, 2006.