AUTONOMOUS AND AUYTONOMIC SYSTEM FOR SELF MANAGING AND SELF DIRECTING SERVICE ABSTRACT Proceedings of the third IEEE International Engineering of Autonomic and Autonomous Systems (Ease 2006), IEEE Computer Society (Los Ala mitos, CA, USA), ISBN 0-7695-2544-X, Pages 1-16 DOI: 10.11.09/EASE .2006.18 Autonomous and Autonomic Systems (AAS) Autonomous : Auto = selfnomous=law One who gives oneself his own law. Autonomic: Auto= selfnomic=management One who manages automatically. The Task Force on Autonomous and Autonomic Systems (TF AAS) was established to address research issues concerned with creating self-directing and self-managing systems (self ware or selfworking properties). The overarching vision of AAS is the creation of self-directing and selfmanaging systems in accordance with high-level guidance from humans to address today's concerns of complexity and total cost of ownership while meeting tomorrow's needs for pervasive and ubiquitous computation and communication. The AAS overlaps to some degree with many others providing opportunities forcollaboration to meet the grand challenges, but focuses on specifically addressing architectures, frameworks, paradigms, componen ts, tools, environments, languages , applications and lessons forAutonomous and Autonomic Computing and Communications (Systems). The complexity of modern middleware, and software solutions, is growing at an expon ential rate. Only self-managing, orautonomic computing technology can reasonably stem the confusion this complexity brings to bear on human administrators. While much has been publi shed on ³ar chitecture´ and ³ function´ for producing such systems, little has been written about the engineering of s elf- managing systems as a distinct paradigm. In this paper we suggest a straw-man for engineering of autonomic systems that is based on two essential tracks: a set ofengineering principles that should guide the planning of autonomic systems and their interfaces and secondly a set ofmathematical foundations upon which such systems can best be constructed. These foundational attributes are intended to guide the thinking of R&D organizations pursuing the development ofautonomic computing capability. The role of architecture and standards is also discussed , highlighting their r ole in inter- componen t management. EXISTING SYSTEM
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AUTONOMOUS AND AUYTONOMIC SYSTEM FOR SELF MANAGING AND SELF DIRECTING SERVICE
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8/7/2019 AUTONOMOUS AND AUYTONOMIC SYSTEM FOR SELF MANAGING AND SELF DIRECTING SERVICE