Τίτλος:
Self-Management Capacities in Future Internet Wireless Systems
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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.
Συγγραφείς:
Gazis, Vangelis
Kousaridas, Apostolis
Polychronopoulos, Costas
and Raptis, Tilemachos
Alonistioti, Nancy
Εκδότης:
IEEE Comput. Soc
Τίτλος συνεδρίου:
2009 COMPUTATION WORLD: FUTURE COMPUTING, SERVICE COMPUTATION,
COGNITIVE, ADAPTIVE, CONTENT, PATTERNS
Λέξεις-κλειδιά:
Dynamic adaptation; next generation networks; autonomic operation;
self-management; self-organization
DOI:
10.1109/ComputationWorld.2009.36
