TY - CONF
TI - Self-Management Capacities in Future Internet Wireless Systems
AU - Gazis, Vangelis
AU - Kousaridas, Apostolis
AU - Polychronopoulos, Costas
AU - and Raptis, Tilemachos
AU - Alonistioti, Nancy
PY - 2009
SP - 9-14
PB - IEEE Comput. Soc
T2 - 2009 COMPUTATION WORLD: FUTURE COMPUTING, SERVICE COMPUTATION,
COGNITIVE, ADAPTIVE, CONTENT, PATTERNS
TODO - 10.1109/ComputationWorld.2009.36
TODO - Dynamic adaptation; next generation networks; autonomic operation;
self-management; self-organization
TODO - Thanks to exponential growth rates, the Internet has doubled in size
many times since its inception, nearly five decades ago. However, this
tremendous growth has brought on an accumulating complexity in
management tasks, thus undercutting the Internet’s manageability and
proving detrimental to further development. To address this predicament,
the concept of a capacity for autonomic operation was proposed and later
extended with artificial intelligence features to thus converge on the
vision of a self-managed Future Internet. The capacity for
self-management builds on specific technological enablers, including a
network monitoring infrastructure, mechanisms for decision making and
decision appraisal as well as advanced artificial intelligence features
(e.g., machine learning). This paper establishes the role of these
capacities in realizing a self-managed mode of operation for wireless
Internet systems. We present a case study where self-management features
resulting from the combined application of device and network monitoring
and decision making are employed in a solution of a well-known planning
and management problem in wireless networking.
ER -