Title :
Autonomous, Collaborative Control for Resilient Cyber Defense (ACCORD)
Author :
Wagner, Steffen ; Berg, E.V.D. ; Giacopelli, Jim ; Ghetie, Andrei ; Burns, Jack ; Tauil, Miriam ; Sen, Satyaki ; Wang, Michael ; Mung Chiang ; Tian Lan ; Laddaga, Robert ; Robertson, Paul ; Manghwani, Prakash
Author_Institution :
Appl. Commun. Sci., Inc., Piscataway, NJ, USA
Abstract :
ACCORD addresses the need for robust, rapidly adaptive resource allocation mechanisms in cloud computing. It employs a distributed, game-theoretic approach to apportion computational loads in an efficient, prioritized, Pareto-optimal fashion among geographically dispersed cloud computing infrastructure. This paper describes ACCORD algorithms, software implementation, and initial experimental results. Our results illustrate how a distributed, ACCORD-enabled cloud architecture autonomously adapts to the loss of computing resources (e.g., due to failures, poor network connectivity, or cyber attack) while ensuring that users receive maximal, prioritized utility from available cloud resources.
Keywords :
Pareto optimisation; cloud computing; game theory; resource allocation; security of data; ACCORD algorithm; Pareto optimal fashion; autonomous collaborative control for resilient cyber defense; cloud architecture; cloud computing; cloud resource; computational load; computing resource; game-theoretic approach; resource allocation mechanism; Nash Bargaining; cloud computing; distributed resource allocation; game theory;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 2012 IEEE Sixth International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4673-5153-9
DOI :
10.1109/SASOW.2012.16