Towards Autonomic and Situation-Aware Communication Services: the CASCADAS Vision

The complexity of modern networks raises several challenges in the design and development of communication services. The unbearable costs in configuration and management call for autonomic approaches, in which services are able to self-configure and self-adapt their activities without human intervention. The need for ubiquity of service provisioning calls for the capability of services of adapting their behavior depending on the current situation in which they are used. In this paper, after having discussed the need for innovative approaches facilitating the development and execution of autonomic and situation-aware services, we analyze the key features that should underly such a general approach, propose an architecture centered around the abstraction of "autonomic communication elements", and sketch the main research thrusts to be pursued for the realization of the vision

[1]  Marco Dorigo,et al.  Swarm intelligence: from natural to artificial systems , 1999 .

[2]  Franco Zambonelli,et al.  Developing multiagent systems: The Gaia methodology , 2003, TSEM.

[3]  Tanzeem Choudhury.  Modeling Face-to-Face Communication using the Sociometer , 2003 .

[4]  Gaurav S. Sukhatme,et al.  Connecting the Physical World with Pervasive Networks , 2002, IEEE Pervasive Comput..

[5]  Diomidis Spinellis,et al.  A survey of peer-to-peer content distribution technologies , 2004, CSUR.

[6]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[7]  Marija Mikic-Rakic,et al.  Support for disconnected operation via architectural self-reconfiguration , 2004, International Conference on Autonomic Computing, 2004. Proceedings..

[8]  Alex Pentland,et al.  Sensing and modeling human networks using the sociometer , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

[9]  Danny Weyns,et al.  Environments in multiagent systems , 2005, The Knowledge Engineering Review.

[10]  Luciano Serafini,et al.  Peer-to-peer semantic coordination , 2004, J. Web Semant..

[11]  Andrea Omicini,et al.  "Exhibitionists" and "Voyeurs" Do It Better: A Shared Environment for Flexible Coordination with Tacit Messages , 2004, E4MAS.

[12]  Henry A. Kautz,et al.  Inferring activities from interactions with objects , 2004, IEEE Pervasive Computing.

[13]  Liviu Iftode,et al.  Accessing ubiquitous services using smart phones , 2005, Third IEEE International Conference on Pervasive Computing and Communications.

[14]  Mark Handley,et al.  A scalable content-addressable network , 2001, SIGCOMM 2001.

[15]  Franco Zambonelli,et al.  Spray computers: Explorations in self-organization , 2005, Pervasive Mob. Comput..

[16]  Mark Handley,et al.  A scalable content-addressable network , 2001, SIGCOMM '01.

[17]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[18]  Hein Meling,et al.  Messor: Load-Balancing through a Swarm of Autonomous Agents , 2002, AP2PC.

[19]  Salim Hariri,et al.  A component-based programming model for autonomic applications , 2004, International Conference on Autonomic Computing, 2004. Proceedings..

[20]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[21]  Cecilia Mascolo,et al.  CARISMA: Context-Aware Reflective mIddleware System for Mobile Applications , 2003, IEEE Trans. Software Eng..

[22]  EstrinDeborah,et al.  Connecting the Physical World with Pervasive Networks , 2002 .

[23]  Ravi Kumar,et al.  Self-similarity in the web , 2001, TOIT.