Autonomic Computing Research Papers

Autonomic Computing Research Papers-56
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.Submitted papers must not be under consideration by any other journal or publication.Please refer to the Paper Submission GUIDE before submitting your paper. Montaquila, Luigi Pavone 7) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification Abdelhadi Lotfi, Abdelkader Benyettou 8) Road Vehicle Recognition Using Magnetic Sensing Feature Extraction and Classification Xiao Chen, Xiaoying Kong, Min Xu 9) Affective Robots: Evaluation of Automatic Emotion Recognition Approaches on a Humanoid Robot towards Emotionally Intelligent Machines Silvia Santano Guillén, Luigi Lo Iacono, Christian Meder 10) Early Diagnosis of Alzheimer's Disease Using a Combination of Images Processing and Brain Signals E.

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A number of selected high-impact full text papers will also be considered for the special journal issues.

All submitted papers will have the opportunity to be considered for this Special Journal Issue.

In autonomic systems, resources and applications are managed to maximize performance and minimize cost, while maintaining predictable and reliable behavior in the face of varying workloads, failures, and malicious threats.

Achieving self-management requires and motivates research that spans a wide variety of scientific and engineering disciplines, including distributed systems, artificial intelligence, machine learning, control theory, optimization, planning, decision theory, user interface design, data management, software engineering, emergent behavior analysis, bio-inspired computing etc.

The conference seeks novel research advances on science and engineering from both academia and industries, concerning all aspects of autonomic computing, including but not limited to the following research topics: Foundations ◾Fundamental theory of autonomic computing ◾Algorithms, such as artificial intelligence, machine learning, control theory, operation research, probability and stochastic processes, queueing theory, rule-based systems, biological-inspired techniques, and socially-inspired techniques ◾Formal models and analysis of self-management, emergent behavior, uncertainty, self-organization, self-awareness, and trustworthiness Resource Management in Data Centers ◾Hypervisors, operating systems, middleware, and platforms for self-managing data centers and cloud infrastructures ◾Sensing and computing/storage/networking/power/cooling resource adaptation ◾Autonomic components, such as multi-core servers, storage, networking, and hardware accelerators ◾Applications and case studies of end-to-end design and implementation of systems for resource and performance management Autonomic Cloud Computing ◾Self-managing cloud services ◾Autonomic cloud applications and services ◾Autonomic virtual cloud resources and services ◾Cloud workload characterization and prediction ◾Monitoring, modeling and analysis of cloud resources and services ◾Anomaly behavior analysis of autonomic systems and services ◾Autonomic aspects of combining cloud computing with fog and edge computing Cyber-Physical Systems (CPS) and Internet of Things (Io T) ◾System architectures, services, middleware, and protocols for CPS and Io T ◾Energy, real-time, and mobility management ◾Design principles, methodologies, and tools for CPS and Io T ◾Self-organization under severe resource constraints ◾Applications and case studies of autonomic CPS and Io T Autonomics for Extreme Scales ◾Large scale autonomic systems ◾Self-optimizing and self-healing at peta-computing scale ◾Self-managing middleware and tools for extreme scales ◾Experiences in autonomic systems and applications at extreme scales (peta/exa-computing) Self-Organization and Organic Computing ◾Self-organization principles and organic computing principles borrowed from systems theory, control theory, game theory, decision theory, social theories, biological theories, etc.

◾Self-organization, emergent behavior, decentralized control, individual and social/organizational learning, scalability, robustness, goal- and norm-governed behavior, online self-integration for trustworthy self-organizing and organic systems ◾Infrastructures and architectures for self-organizing systems and organic computing systems ◾Applications and case studies for self-organization and organic computing Emerging Computing Paradigms: Cognitive Computing, Self-Aware Computing ◾Advanced learning for cognitive computing such as hyperparameter tuning, meta-cognitive learning, self-regulatory learning, consciousness and cognition in learning, collaborative / competitive learning, and online / sequential learning ◾Architectures, control, algorithmic approaches, instrumentation, and infrastructure for cognitive computing and self-aware systems ◾Cognitive computing and self-awareness in heterogeneous and decentralized systems ◾Applications and case studies for social networks, big data systems, deep learning systems, games, and artificial assistants, cognitive robots, and systems with self-awareness and self-expression Software Engineering for Autonomic Computing Systems: Architecture, Specifications, Assurances ◾Design methodology, frameworks, principles, infrastructures, and tools for development and assurances for autonomic computing systems ◾System architectures, services, components and platforms broadly applicable for autonomic computing system engineering ◾Goal specification and policies, modeling of service-level agreements, behavior enforcement, IT governance, and business-driven IT management ◾Applications and case studies for software engineering approaches for autonomic computing systems In addition to fundamental results, ICAC is also interested in applications and experiences with prototyped or deployed systems solving real-world problems in science, engineering, business, or society.

It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Autonomic Computing.

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.

At least one author of each accepted paper is expected to attend the conference.

Each paper should be submitted in one of the following two categories, to which different acceptance criteria are to be applied: ◾Full paper, limited to 10 pages including references (double column, IEEE format) ◾Short paper, limited to 6 pages including references (double column, IEEE format) Full papers are expected to report new scientific or engineering results, sharing experiences, measurements, use case studies, and appropriate quantitative evaluation if at all possible.

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  • Publications & Products NSF Cloud & Autonomic Computing.
    Reply

    NSF Cloud and Autonomic Computing Center CAC & University Cooperative Research Center…

  • Autonomic Computing Conference 2018 Copenhagen. -
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    Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Autonomic Computing are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures.…

  • A concise introduction to autonomic computing
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    A concise introduction to autonomic computing Roy Sterritta,*, Manish Parasharb,1, Huaglory Tianfieldc,2, Rainer Unlandd,3 aSchool of Computing and Mathematics, Faculty of Engineering, University of Ulster at Jordanstown, Shore Road,…

  • Accepted Papers – ICAC 2019 – The International Conference.
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    Autonomic cloud placement of mixed workload An adaptive bin packing algorithm Jayson Boubin, John Chumley, Christopher Stewart and Sami Khanal. Autonomic Computing Challenges in Fully Autonomous Precision Agriculture…

  • A taxonomy and survey on autonomic management of.
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    Autonomic Computing AC 1 is an emerging area of research for developing large-scale, self-managing, complex distributed Grids, Clouds, Data Centers system. The vision of AC is to apply the principles of self-regulation and complexity hiding for designing complex computer-based systems. Thus, AC provides a holistic approach for the development of systems/applications that can adapt.…

  • Emotional attributes in autonomic computing systems.
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    Lee, A & Ibrahim, M 2003, ' Emotional attributes in autonomic computing systems ' Paper presented at DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications, Prague, Czech Republic, 1/09/03 - 5/09/03.…

  • Research and design of autonomic computing system model in.
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    Research and design of autonomic computing system model in cloud computing environment. But the problem of how to build an autonomic computing model for cloud computing environment has not been solved. This paper proposed a method to design autonomic computing model for cloud computing, which united the application of two computing patterns, so as to solve the problems of…

  • Autonomic computing Classroom Essays
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    Autonomic computing · Cloud computing · Grid computing · Nanotechnology · N-tier client/server architectures · On-demand computing · Service-oriented architecture SOA · Storage area networks SANs · Virtualization. Write a research paper on the real-world application of the chosen technology. Your paper should include the type of organizations that benefits most from this.…

  • Autonomic Computing Emerging Trends and Open Problems
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    Autonomic Computing Emerging Trends and Open Problems Mazeiar Salehie [email protected] Tahvildari [email protected] of Electrical and Computer Engineering University of Waterloo Ontario, Canada ABSTRACT The increasing heterogeneity, dynamism and interconnec-tivity in software applications, services and networks led to complex,…

  • ICAC 2018 15th International Conference on Autonomic.
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    The two premier conferences on autonomic computing, the IEEE International Conference on Autonomic Computing ICAC and the IEEE International Conference on Cloud and Autonomic Computing ICCAC will be unified into one from 2018 on. The first joint conference, the 15th IEEE International Conference on Autonomic Computing ICAC 2018 will be held in Trento, Italy on…

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