International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS)

An Official Publication of the Information Resources Management Association

Vincenzo De Florio (University of Antwerp and IBBT, Belgium)

Published Quarterly. Est. 2010.

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DOI: 10.4018/IJARAS, ISSN: 1947-9220, EISSN: 1947-9239

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MLA

De Florio, Vincenzo. "International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS)." (2010). Web. 24 May. 2012. doi:10.4018/IJARAS

APA

De Florio, V. (2010). International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS). doi:10.4018/IJARAS

Chicago

De Florio, Vincenzo. "International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS)," (2010), accessed (May 24, 2012), doi:10.4018/IJARAS

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Description

The International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) provides high quality, effective approaches to design, develop, maintain, evaluate, and benchmark adaptive and dependable systems that are built to sustain quality of service and experience despite the occurrence of potentially significant and sudden changes or failures in their infrastructure and surrounding environments. Providing academicians, practitioners, and researchers with insight, this journal contains useful software and hardware aspects, conceptual models, applied and theoretical approaches, paradigms, and other technological innovations.

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Journal Contents

Volume 3: 2 Issues (2012)

Volume 2: 4 Issues (2011)

Volume 1: 4 Issues (2010)

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Mission

The mission of the International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) is to enhance the awareness of the crucial role of adaptability and resilience when systems are deployed in environments where change is the rule rather than the exception, in order to avoid situations where quality of service and quality of experience are strongly and negatively affected. IJARAS publishes novel results in resilience engineering, adaptive systems engineering, and dependability for researchers, practitioners, engineers, educators, and professionals.

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Reviews and Testimonials

“The burgeoning field of adaptive software systems is evidenced by the growing number workshops and conferences targeting this important research area. The International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) provides an excellent venue for the latest research involving adaptive and autonomic systems. As an author of an article published in the journal I have also appreciated the professionalism and courtesy extended to the article submitters. The editorial staff in general and Dr. Vincenzo De Florio were great to work with and timely in their reviews and responses to any questions that I had.”
- Joseph Hoffert, the King's University College, Canada

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Topics Covered

Topics to be discussed in this journal include (but are not limited to) the following:

Adaptive and context-aware multimedia
Adaptive data integrity
Adaptive data mining
Adaptive fault models
Adaptive fault-masking
Adaptive fault-tolerance
Adaptive routing
Adaptive service-oriented computing
Adaptive system models
Adaptive user interfaces
Analytical and simulation tools to measure a system’s ability to withstand faults and optimally re-adjust to new environments
Architecture-based adaptation
Autonomic applications
Autonomic business process execution
Autonomous and adaptive systems in robotics
Conceptual models and paradigms to express change tolerance
Design-time/run-time methods and tools to identify and enforce optimal trade-offs between energy consumption, performance, safety, and security
Evolutionary and embryogenic approaches to autonomic computing, resilience, and adaptive systems
Mechanisms to model, design, express, and develop adaptive, autonomic, and resilient systems
Methods focusing on optimizing quality of experience
Methods, models, and architectures to manage and express strategies and provisions for cross-layer adaptation
Personalization
Recovery-oriented computing
Resilience engineering
Scalable, maintainable, and cost-effective provisions located at all system levels to achieve adaptability and dependability
Self-* systems