A Distributed Monitoring and Reconfiguration Approach for Adaptive Network Computing

A Distributed Monitoring and Reconfiguration Approach for Adaptive Network Computing includes about Agile Defense and Adaptability, Adaptability for Increased Resilience, Adaptive Computing Research Problems, Distributed Service Monitoring for Anomaly Detection and Adaptability, Anomaly Detection. | A Distributed Monitoring and Reconfiguration Approach for Adaptive Network Computing Bharat Bhargava, Pelin Angin, Rohit Ranchal Department of Computer Science, Purdue University Sunil Lingayat Northrop Grumman Corporation Motivation Rise of cloud computing has brought network computing to a whole new level Context plays a very important role in achieving high quality of service with both mobile and cloud computing, as both face highly dynamic conditions Adaptability to different contexts is significant for high performance in network computing. Elements of context in network computing include: User preference Workload Data connection type & bandwidth Resource availability Situational context Problem Statement Current cloud/mobile computing systems lack generic and effective mechanisms to adapt to changes in performance and security contexts In order to ensure the enforcement of service level agreements (SLAs) and provide high security assurance in network computing in real time, a . | A Distributed Monitoring and Reconfiguration Approach for Adaptive Network Computing Bharat Bhargava, Pelin Angin, Rohit Ranchal Department of Computer Science, Purdue University Sunil Lingayat Northrop Grumman Corporation Motivation Rise of cloud computing has brought network computing to a whole new level Context plays a very important role in achieving high quality of service with both mobile and cloud computing, as both face highly dynamic conditions Adaptability to different contexts is significant for high performance in network computing. Elements of context in network computing include: User preference Workload Data connection type & bandwidth Resource availability Situational context Problem Statement Current cloud/mobile computing systems lack generic and effective mechanisms to adapt to changes in performance and security contexts In order to ensure the enforcement of service level agreements (SLAs) and provide high security assurance in network computing in real time, a monitoring framework needs to be developed to inspect the services dynamically during their execution. If a service is compromised, misbehaves or is underperforming, the service monitor needs to discover this inadequate performance, provide feedback, take remedial actions and adapt according to the changes in context There is a need for novel techniques to: Monitor service activity Discover and report service behavior changes Enforce security and quality of service requirements in cloud and mobile services Agile Defense and Adaptability Goals: Replace anomalous/underperforming services with reliable versions Reconfigure system service orchestrations to respond to anomalous service behavior Swiftly self-adapt to changes in context Enforce proactive and reactive response policies to achieve system security goals Continuous availability even under attacks Components: Detection of anomalies/deviations from SLAs Dynamic service composition Adaptability for Increased Resilience Dynamic service

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