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Seraphin Calo is a Principal Research Staff Member at IBM Research and currently manages the Network Science group within that organization. He received the M.S., M.A., and Ph.D. degrees in electrical engineering from Princeton University, Princeton, New Jersey. He has worked, published, and managed research projects in a number of technical areas, including: queueing theory, data communications networks, multi-access protocols, expert systems, policy based computing, and complex systems management. Dr. Calo was a leading member of the IBM team that won and continues to work on government sponsored research programs in information science. He has been very active in international conferences, particularly in the systems management and policy areas. Dr. Calo has authored more than one hundred technical papers and has a number of United States patents (26 issued). He has received six IBM Research Division awards, and twelve IBM Invention Achievement awards.

Title: Distributed Intelligence - Trends in the Management of Complex Systems

The ability to incorporate intelligence in even small devices and to make use of contextual information from widely deployed sensors has already begun to change management paradigms. As edge computing and IoT devices become more prevalent, systems will increasingly consist of cooperating, heterogeneous, distributed, autonomous elements. Architectures for cognitive, collaborative systems are evolving to deal with such complex environments. Concepts from multi-agent systems and autonomic computing are being applied to cope with the scope and breadth of large collections of interacting devices and services. Technologies for security and access control must evolve as well. Policy-based mechanisms are widely used and have been very successful in protecting information and controlling access to systems and services. They tend to rely, however, on a centralized infrastructure and on the automated enforcement of directives. Newer paradigms are being investigated that allow policy structures to be more dynamic and contextual, while still preserving the desired levels of control. We will present trends in the evolution of architectures for distributed, federated systems, and the technologies for managing them.


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