Abstract
The programmable network approach allows processing of passing user data in a network, which is highly suitable especially for video streams processing. However, the programming of complex stream processing applications for programmable nodes is not effortless, since the applications usually do not provide sufficient flexibility (both programming flexibility and execution environment flexibility). In this paper we present the architecture of our DiProNN node—the VM-based Distributed Programmable Network Node, that is able to accept and run user-supplied programs and/or virtual machines and process them (in parallel if requested) over passing user data. The node is primarily meant to perform stream processing; to enhance DiProNN flexibility and make programming of streaming applications for a DiProNN node easier, we also propose a suitable modular programming model which takes advantage of DiProNN’s virtualization and makes its programming more comfortable.
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Notes
- 1.
Excluding firewalls, proxies, and similar elements, where an intervention is usually limited (they do not process packets’ data).
- 2.
The ingress data connection could be the same as the egress one.
- 3.
The ARTP is a connection-oriented transport protocol providing reliable duplex communication channels without ensuring that the data will be received in the same order as they were sent.
- 4.
Note that the DiProNN session must define, on its own, how to distribute data over such parallel instances, or choose such distribution from built-in functions, e.g., round-robin or a simple duplication principle.
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Acknowledgments
This project has been supported by the research project “Integrated Approach to Education of PhD Students in the Area of Parallel and Distributed Systems” (No. 102/05/H050).
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Rebok, T. (2009). DiProNN: VM-Based Distributed Programmable Network Node Architecture. In: Mastorakis, N., Mladenov, V., Kontargyri, V. (eds) Proceedings of the European Computing Conference. Lecture Notes in Electrical Engineering, vol 27. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-84814-3_25
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DOI: https://doi.org/10.1007/978-0-387-84814-3_25
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