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Saturday, August 8, 2020 | History

2 edition of Investigation of Autonomic Computing and Pulse Monitoring. found in the catalog.

Investigation of Autonomic Computing and Pulse Monitoring.

Saulai Chung

Investigation of Autonomic Computing and Pulse Monitoring.

by Saulai Chung

  • 125 Want to read
  • 36 Currently reading

Published by The Author] in [s.l .
Written in English


Edition Notes

Thesis (M. Sc. (Informatics)) - University of Ulster, 2003.

ID Numbers
Open LibraryOL16373730M

An example of autonomic computing is: virus protection software that runs and updates itself automatically An industry-wide effort to develop systems that can configure, optimize, tune, and heal themselves when broken, and protect themselves from .   Autonomic computing seminar documentation 1. and sufficiency Autonomic Monitoring: Autonomic monitoring is a capability that provides an extensible run-time environment for an autonomic manager to gather and filter data obtained through sensors. Autonomic managers can utilize this capability as amechanism for representing, filtering.

The Grid monitoring system demonstrates that through efficient monitoring, self-healing can be achieved in a Grid environment and Grid can work autonomously, thus minimizing the physical management and service-downtime. Show more. Keywords: Grid computing, self-management, autonomic computing, grid monitoring system, fault discovery and healing. The Autonomic Computing Toolkit includes AME, an example of an implementation of an autonomic manager (see Autonomic computing reference architecture for a definition of an autonomic manager). AME monitors system resources, sends aggregated events, and performs corrective actions for problems.

Autonomic Computing, this is inspired by biological systems, and is the analog of biological apoptosis. Finally, we discus the role it might play in future NASA space exploration missions. Keywords: Autonomic Computing, Autonomic Agents, Exploration, Self-Protection, Self-Destruction, Pulse Monitoring, Apoptosis. 1. Introduction. Autonomic cloud emerge as a result of emerging four properties of autonomic computing in cloud that are self-healing, self-monitoring, self-repairing and self-optimization. We have defined a methodology to improve the security in cloud computing and also defined a methodology that can ensure the autonomic management in autonomic cloud computing.


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Investigation of Autonomic Computing and Pulse Monitoring by Saulai Chung Download PDF EPUB FB2

Autonomic computing is changing the way software systems are being developed, introducing the goal of self-managed computing systems with minimal need for human input. This easy-to-follow, classroom-tested textbook/reference provides a practical perspective on autonomic by: The overarching goal of autonomic computing is to realize computer and software systems and ap- plications that can manage themselves in accordance with high-level guidance from humans.

Meeting the grand challenges of autonomic computing requires scientific and technological advances in a wide variety of fields. • Autonomic computing is inspired in the human autonomic nervous system: – “The autonomic nervous system consists of sensory neurons and motor neurons that run between the central nervous system and various internal organs such as the: heart, lungs, viscera, glands.

It is responsible for monitoring conditions inFile Size: KB. Autonomic computing and networking (ACN), a concept inspired by the human autonomic system, is a priority research area and a booming new paradigm in the field.

Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development, and Verification outlines the characteristics, novel approaches of specification.

This paper reports on an investigation into adding autonomic behaviour to a large scale telecommunications fault management architecture. In particular, it proposes a ‘reflex-healing’ dual strategy to facilitate this advanced automation.

The autonomic reflex reaction is achieved through a pulse monitor, Cited by: 3. The overarching goal of autonomic computing is to realize computer and software systems and applications that can manage themselves in accordance with high-level guidance from humans. Meeting the grand challenges of autonomic computing requires scientific and technological advances in a wide variety of fields, Cited by: The International Journal of Autonomic Computing, from Inderscience Publishers, explores developments in autonomic nervous systems allowing self-learning, self-recovery, etc in computing systems International Journal of Autonomic Computing (IJAC) Inderscience Publishers - linking academia, business and industry through research.

to serve this purpose, autonomic models for PaaS (Platform as a Service) software systems are essential. Autonomic systems exhibit the ability of self-monitoring, self-repairing, and self-optimizing by constantly sensing themselves and tuning their performance [6].

Such autonomic features are also exhibited by market economy, where. Research Challenges of Autonomic Computing Jeffrey O. Kephart IBM Thomas J. Watson Research Center 19 Skyline Drive, Hawthorne, NYUSA [email protected] ABSTRACT Autonomic computing is a grand-challenge vision of the future in which computing systems will manage themselves in accordance with high-level objectives specified by humans.

Autonomic Autonomic Autonomic Huebscher Autonomic Computing Kephart Chess Vision Autonomic Autonomic Autonomic Computing Autonomic Computing Emerging Trends and Open Autonomic Sterritt, R.: Pulse Monitoring: Extending the Health-check for the Autonomic GRID.

In: Proceedings of IEEE Workshop on Autonomic Computing Principles and Architectures (AUCOPA ) at INDINBanff, Alberta, Canada, Augustpp. – () Google ScholarCited by: 9.

This paper reports on autonomic computing research, including the development of a self-* proof of concept, for a cloud based environment. It monitors administrative boundaries from within an autonomic manager, with each manager operating in a peer-to-peer mode and utilizing a pulse monitor.

tonomic activities (i.e, monitoring the hearbeat, checking blood sugar level) in autonomic nervous system. However, how the decisions of autonomic activities to be made is the basic distinction between autonomic computing and autonomic nervous system.

Many of the autonomic activies in autonomic nervous system is ”involuntary” [12], but File Size: KB. Comparison between existing computing and autonomic computing ties of AUTONOMIC SYSTEMS: Self-configuring is a system’s ability to re-adjust itself automatically ; this may simply be in support of changing circumstances or to assist in self-healing, self-optimisation or self-protection.

An architectural blueprint for autonomic computing Page 5 An architectural blueprint for autonomic computing Page 6 Self-Optimize - To tune resources and balance workloads to maximize the use of information technology resources. Highlights the environment, using policies provided by the IT Size: 1MB.

An Autonomic computing system is a solution to circumvent the overhead associated with the usual network setup, manual updates, and continual general maintenance. Taking yet another page from the biomimetics playbook, the autonomic computing paradigm mimics the human autonomic nervous system to free system developers and administrators from performing and overseeing low-level : Hardcover.

Purchase Autonomic Network Management Principles - 1st Edition. Print Book & E-Book. ISBNAbbas is the author of the Global Grid Computing Report /3, Autonomic Computing Report as well as the forthcoming book Grid Computing - A Practical Guide to Technology and Applications (Charles River Media, Summer ).

About This Report This special report was excerpted from the Autonomic Computing Report For information on the File Size: KB. Autonomic Computing. Computing systems, applications, and services are getting more complex, heterogeneous, and dynamic each day.

Managing these systems is a daunting task and an error-prone process. Autonomic computing has been inspired by the human autonomic nervous system, and is used to manage such complex and sophisticated systems. Conclusion • Solution of today’s increasing complexity in computing science Self-Management and dynamic adaptive behaviors • Still challenges in diverse fields of science and technology – Autonomic behavior in one field of science System managements, software engineering, etc.

– Needs for a abstraction and co-operation in relevant fields. Kephart and Chess’s view on Autonomic Computing, in the book “The Vision of Autonomic Computing” is raises several questions. With due respect to the authors, it can be said – a Syringe can be filled with poison contrary to a life saving medicine.

It does not points that the Syringe is an Evil.Autonomic Computing: Concepts, Infrastructure, and Applications - CRC Press Book The complexity of modern computer networks and systems, combined with the extremely dynamic environments in which they operate, is beginning to outpace our ability to manage them.