August 5, 2019 - August 8, 2019
Conference Description (submitted by organizer)
As computer systems become increasingly large and complex, their Dependability, Autonomy, and Security play critical role at supporting next-generation science, engineering, and commercial applications. These systems provide computing services to large pools of users and applications, and thus are exposed to several dangers such as accidental/deliberate faults, virus infections, malicious attacks, illegal intrusions, natural disasters, etc. Thus, it remains a challenge to design, analyze, evaluate, and improve the dependability and security for a trusted computing environment. Trusted computing targets computing and communication systems as well as services that are autonomous, dependable, secure, privacy protectable, predictable, traceable, controllable, assessable and sustainable.
The scale and complexity of information systems evolve towards overwhelming the capability of system administrators, programmers, and designers. This calls for the autonomic computing paradigm, which meets the requirements of self-management by providing self-optimization, self-healing, self-configuration, and self-protection. As a promising means to implement dependable and secure systems in a self-managing manner, autonomic computing technology needs to be further explored. Trusted and autonomic computing and communications need synergistic research efforts covering many disciplines, ranging from computer science and engineering, to the natural sciences and the social sciences. It requires scientific and technological advances in a wide variety of fields, as well as new software, architectures, and communication systems that support the effective and coherent integration of the constituent technologies.
IEEE DASC 2019 will be held in August 5-8, 2019 in Fukuoka, Japan, co-located with IEEE CyberSciTech 2019, IEEE PICom 2019, and IEEE CBDCom 2019. It aims to bring together computer scientists, industrial engineers, and researchers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress, experience, case studies, and trend-setting ideas in the areas of dependability, security, trust and/or autonomic computing systems.