A Practical Verification of Protocol and Data Format Negotiation Methods in ComSS Platform

The main aim of the research presented in this paper was to perform a practical verification of protocol and data format negotiations between streaming services with the use of Future Internet research infrastructure providing network isolation and tools for proper measurement of the key parameters. The paper presents a brief introduction to the ComSS Platform and automated protocol and data format negotiation methods, followed by in depth analysis of the used negotiation scheme and management message exchange protocol efficiency, as well as network traffic analysis related to these communication protocols.

[1]  Klara Nahrstedt,et al.  On Composing Stream Applications in Peer-to-Peer Environments , 2006, IEEE Transactions on Parallel and Distributed Systems.

[2]  Pawel Swiatek,et al.  Communication Protocol Negotiation in a Composite Data Stream Processing Service , 2013, ICSS.

[3]  Pawel Swiatek,et al.  Platform for building eHealth streaming services , 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

[4]  Wolfgang Lehner,et al.  Real-time scheduling for data stream management systems , 2005, 17th Euromicro Conference on Real-Time Systems (ECRTS'05).

[5]  Pawel Swiatek,et al.  Planning-Based Method for Communication Protocol Negotiation in a Composition of Data Stream Processing Services , 2013, CN.

[6]  Atif Alamri,et al.  Cloud-Based E-Health Multimedia Framework for Heterogeneous Network , 2012, 2012 IEEE International Conference on Multimedia and Expo Workshops.

[7]  Ying Liu,et al.  Stream processing in data-driven computational science , 2006, 2006 7th IEEE/ACM International Conference on Grid Computing.

[8]  Piotr Klukowski,et al.  Wearable Smart System for Physical Activity Support , 2013 .

[9]  Pawel Swiatek,et al.  Application of Wearable Smart System To Support Physical Activity , 2012, KES.

[10]  Michael Gertz,et al.  An Extensible Infrastructure for Processing Distributed Geospatial Data Streams , 2006, 18th International Conference on Scientific and Statistical Database Management (SSDBM'06).

[11]  Liang Chen,et al.  GATES: a grid-based middleware for processing distributed data streams , 2004, Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004..

[12]  Philip S. Yu,et al.  Optimal Component Composition for Scalable Stream Processing , 2005, 25th IEEE International Conference on Distributed Computing Systems (ICDCS'05).

[13]  Krzysztof Juszczyszyn,et al.  Service Composition in Knowledge-based SOA Systems , 2012, New Generation Computing.