Abstract
Constant delivery of data and information through streaming methods is growing in popularity. Streaming is widely used for video and sensor data delivery, usually directly to the client. In this work we propose architecture of the platform for composition of several distributed streaming intermediaries, able to process the data stream on-line. Features of the platform consist of ability to create a composite stream on demand as well as update, delete or read its current state. Works on the platform are an on-going research effort and current work, presented in this work, focuses on separation of platform functionality into distributed software components for performance optimization. This distribution allows for optimizing each component’s behaviour regarding its usage characteristics. As an effect the platform’s streaming service management functionality is offered as a stateless service.
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References
Chen, L., Reddy, K., Agrawal, G.: Gates: a grid-based middleware for processing distributed data streams. In: Proceedings of the 13th IEEE International Symposium on High performance Distributed Computing, pp. 192–201 (2004)
Frossard, P., Verscheure, O., Venkatramani, C.: Signal processing challenges in distributed stream processing systems. In: Proceedings of the 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, vol. 5, p. V (2006)
Grzech, A., Juszczyszyn, K., Świątek, P., Mazurek, C., Sochan, A.: Applications of the future internet engineering project. In: 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing (SNPD), pp. 635–642 (2012)
Grzech, A., Rygielski, P., Świątek, P.: Translations of service level agreement in systems based on service-oriented architectures. Cybernetics and Systems 41(8), 610–627 (2010)
Grzech, A., Świątek, P., Rygielski, P.: Dynamic resources allocation for delivery of personalized services. In: Cellary, W., Estevez, E. (eds.) Software Services for e-World. IFIP AICT, vol. 341, pp. 17–28. Springer, Heidelberg (2010)
Gu, X., Nahrstedt, K.: On composing stream applications in peer-to-peer environments. IEEE Trans. Parallel Distrib. Syst. 17(8), 824–837 (2006)
Gu, X., Yu, P., Nahrstedt, K.: Optimal component composition for scalable stream processing. In: Proceedings of the 25th IEEE International Conference on Distributed Computing Systems, ICDCS 2005, pp. 773–782 (2005)
Liu, Y., Vijayakumar, N., Plale, B.: Stream processing in data-driven computational science. In: 7th IEEE/ACM International Conference on Grid Computing, pp. 160–167 (2006)
Rueda, C., Gertz, M., Ludascher, B., Hamann, B.: An extensible infrastructure for processing distributed geospatial data streams. In: 18th International Conference on Scientific and Statistical Database Management, pp. 285–290 (2006)
Schmidt, S., Legler, T., Schaller, D., Lehner, W.: Real-time scheduling for data stream management systems. In: Proceedings of the 17th Euromicro Conference on Real-Time Systems (ECRTS 2005), pp. 167–176 (2005)
Świątek, P., Klukowski, P., Brzostowski, K., Drapała, J.: Application of wearable smart system to support physical activity. In: Advances in Knowledge-based and Intelligent Information and Engineering Systems, pp. 1418–1427. IOS Press (2012)
Świątek, P., Stelmach, P., Prusiewicz, A., Juszczyszyn, K.: Service composition in knowledge-based soa systems. New Generation Computing 30, 165–188 (2012)
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Stelmach, P., Schauer, P., Kokot, A., Demkiewicz, M. (2013). Universal Platform for Composite Data Stream Processing Services Management. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) New Results in Dependability and Computer Systems. Advances in Intelligent Systems and Computing, vol 224. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00945-2_36
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DOI: https://doi.org/10.1007/978-3-319-00945-2_36
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