ADiS 2015 - 6-th International Workshop on Autonomic Distributed Systems (ADiS-2015)

ADiS workshop is dedicated to dissemination and evaluation of current advance solutions for autonomic computing in Large Scale Distributed Systems (LSDS). Autonomic Computing is based on the self-management capability of LSDS, more specific on the self-configuration, self-healing, self-optimization, and self-protection properties. In LSDS, one of the most important aspects is the dependability, which means to increase the reliability, availability, safety and security of the system. The models used in the development of systems with such capabilities combine monitoring, scheduling, data management, security, and fault tolerance. This is a challenge of today research, due to the strong requirements imposed by the dynamic behavior of the user and resource communities. Autonomic computing represent also a greatest challenge faced by the IT industry: conquering the growing complexity of large-scale systems.
The purpose of the workshop is to provide an open forum for researchers from academia and other research community to present, discusses, and exchange related ideas, results, and experiences in this area. The workshop also aims at stimulating synergies between these new approaches, autonomic computing for LSDS and self-organizing distributed systems, and the traditional models in this domain.
Workshop Topics
Dependable Large Scale Distributed Systems (Cloud, Grid, P2P, Virtualization)
Autonomic Computing (Architectures and Systems, Theory and Models)
Autonomic Grid Systems, Middleware, and Services
Autonomic computing and proactive computing for autonomous systems
Monitoring and Control in Large Scale distributed System
Distributed resource management systems
Scheduling, Load balancing and Load sharing
Fault-tolerant Systems; Dependability in autonomous systems; Survivability and recovery in autonomous systems; Monitoring and control in autonomous systems; Performance and security in autonomous systems;
Modeling, simulation and evaluation techniques; Modeling and techniques for specifying self-ilities
Workflow management
Management of autonomous systems; Testing autonomous systems; Maintainability of autonomous systems
Applications (communications, process control, networked systems)
Self-optimizing software systems
Adaptive parallel applications
Autonomous systems (Design, implementation and deployment of autonomous systems; Frameworks and architectures for component and system autonomy; Design methodologies for autonomous systems)
Theory, architectures, frameworks and practice of self-adaptive management mechanisms
Self-stabilization and dynamic stability criteria and mechanisms
Tools, languages and platforms for designing self-driven systems
Autonomic computing and proactive computing for autonomous systems
Practices, criteria and methods to implement, test, and evaluate industrial autonomic systems, and experiences with autonomic computing systems
Policy-driven self-awareness mechanisms and their applicability in autonomic systems
Novel approaches to modelling and representing context adaptability, self-adaptability, and self-manageability
Models of computation for self-management context-aware systems