Autonomic computing

Sterritt, Roy

doi:10.1007/s11334-005-0001-5

Cited by 100 publications

(40 citation statements)

References 37 publications

(45 reference statements)

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“…Step 6, the last venture of the Data Storage Program [4], transmits a Data Storage Complete message from the Storage Service System to the CRM Service System, at which point the CRM Service System may affirm that the customer information has been put away. In the event that it doesn't get a Data Storage Complete message, it can re-launch the Data Storage Program or, after a given time of time, move ahead with outstanding circumstance taking care of.…”

Section: Access To Storage Servicementioning

confidence: 99%

Enhanced Security Measures in Cloud Business Environment

S¹,

Preethi²,

Priya³

2014

IJIRSET

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Distributed computing is the utilization of figuring assets (equipment and programming) that are conveyed as an administration over a system (regularly the Internet). The name originates from the utilization of a cloud-molded image as a deliberation for the complex foundation it contains in framework outlines. Distributed computing depends on remote [1] services with a client's information, programming and reckoning. Distributed computing gives three key services [2] Infrastructure as a Service (IaaS

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Section: Access To Storage Servicementioning

confidence: 99%

Enhanced Security Measures in Cloud Business Environment

S¹,

Preethi²,

Priya³

2014

IJIRSET

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“…Therefore, the selfmanaging inventory management system should be able to maintain minimum levels of stock to the satisfaction of the administration department as well as printer users. It also encourages systems to share information and available resources in a computing systems environment in order to ensure the continuity of services (e.g., by making use of alternative resources when problems occur) (Sterritt, 2005). …”

Section: Printer Monitoring Systemmentioning

confidence: 99%

“…A selfmanaging information system is defined as a system that is able to manage its own information within its operating environment with minimal human intervention (Horn, 2001;Sterritt and Bustard, 2003;Kephart and Chess, 2003;Sterritt, 2005). The growth of IT has also offered a wide range of information available in the computing systems environment to be benefited from by the selfmanaging systems.…”

Section: Introductionmentioning

confidence: 99%

The Soft Systems Methodology Based Analysis Model in the Development of Selfmanaging Information Systems

Hassan¹

2012

Journal of Computer Science

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Problem statement: In order to be able to manage its own information within its operating environment with minimal human intervention, a selfmanaging information system ought to identify and make use of information from the resources available in its environment. The development of requirements for selfmanaging information systems should start with an appropriate analysis model that can explicitly show the collaborating entities in the environment. The traditional forms of analysis in systems development approaches have not focused on computing systems environments and ways to identify environment resources. Approach: This study discusses the analysis activities in the development of selfmanaging information systems. Results: We propose an SSM based analysis model, which is able to examine the requirements for selfmanaging information systems. We describe the analysis of one particular system, the inventory management system and illustrate how this system fulfils certain desired selfmanaging properties. Conclusion: The SSM based analysis model is able to address the actuation capabilities of the systems and considers internal and external resources in the environment. The analysis model not only takes into account the information from the environment but is also able to provide support in determining the requirements for selfmanaging properties.

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“…In the middle, self-healing ideas can be found for middleware [17], [18], and at a lower layer self-healing designs include operating systems [19], [20], embedded systems, networks, and hardware [21]. The two main emerging directions that include self-healing research are provided by autonomic computing [7], [22] and self-adaptive systems [3]. Whilst autonomic computing includes research on all possible layers, self-adaptive systems focus primarily on research above the middleware layer with a more general approach.…”

Section: Related Workmentioning

confidence: 99%

Behavior Monitoring in Self-Healing Service-Oriented Systems

Psaier

Skopik

Schall

et al. 2010

2010 IEEE 34th Annual Computer Software and Applications Conference

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Abstract-Web services and service-oriented architecture (SOA) have become the de facto standard for designing distributed and loosely coupled applications. Many servicebased applications demand for a mix of interactions between humans and Software-Based Services (SBS). An example is a process model comprising SBS and services provided by human actors. Such applications are difficult to manage due to changing interaction patterns, behavior, and faults resulting from varying conditions in the environment. To address these complexities, we introduce a self-healing approach enabling recovery mechanisms to avoid degraded or stalled systems. The presented work extends the notion of self-healing by considering a mixture of human and service interactions observing their behavior patterns. We present the design and architecture of the VieCure framework supporting fundamental principles for autonomic self-healing strategies. We validate our self-healing approach through simulations.

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Autonomic computing

Cited by 100 publications

References 37 publications

Enhanced Security Measures in Cloud Business Environment

Enhanced Security Measures in Cloud Business Environment

The Soft Systems Methodology Based Analysis Model in the Development of Selfmanaging Information Systems

Behavior Monitoring in Self-Healing Service-Oriented Systems

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