AutoMate: enabling autonomic applications on the grid

Agarwal, Manish; Bhat, Viraj; Liu, H.; Matossian, Vincent; Putty, Venkatesh; Schmidt, Cristina; Zhang, G.; Luo, Z.P.; Parashar, Manish; Khargharia, Bithika; Hariri, Salim

doi:10.1109/acw.2003.1210204

Cited by 68 publications

(37 citation statements)

References 9 publications

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“…The SMA system becomes indispensable to monitor resource utilization constantly to scale up/down the resource capacity. So far, several attempts were made to develop SMA [11][12][13][14] in order to reduce administrator intervention in distributed resource management. However, this approach requires administrative responsibility to manage the system.…”

Section: Related Workmentioning

confidence: 99%

“…The CDF (cumulative distribution function) of the future response time (FR 1 ) is predicted for the probability confidence using (11), where is a known probability confidence value (e.g., 0.75). Hence, FR 1 is calculated using (11) to (11b) [26, page 172]. Consider Similarly, the future response time (FR 2 ) is predicted at probability confidence (e.g., 0.25) using (12) to (12b) [26, page 172].…”

Section: Future Prediction Service (Fps)mentioning

confidence: 99%

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A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service

Ramalingam

Mohandas

2016

International Journal of Distributed Sensor Networks

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Present day businesses revolve around internet applications (e.g., e-commerce, e-business, and internet banking) which are primarily supported by web services. The increasing consumer reliance on these internet-based applications causes dynamic variation in the number of requests received by web services and a slowdown in response time during peak load periods. To overcome this difficulty, in this paper, we propose a fuzzy logic (FL) based prediction and replication framework to replicate the web services over distributed servers and achieve timely responses. This framework senses the proximity of future interval response time against agreed service level agreement (SLA) time using sensor web called proximity sensor service. Also, it determines the replication requirement using FL and implements the FL decision using resource control algorithm to replicate the web service on another server before the SLA time is violated or to reclaim the excess resource. We conduct appropriate test scenarios in a dedicated test environment and compare the results with existing models. The results show that our framework replicates the web service at more appropriate times than the existing models and achieves 82% prediction accuracy. Thus, our framework significantly improves the availability of web services with minimal intervention from system administrators.

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Section: Related Workmentioning

confidence: 99%

Section: Future Prediction Service (Fps)mentioning

confidence: 99%

A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service

Ramalingam

Mohandas

2016

International Journal of Distributed Sensor Networks

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“…Many authors use self-* terminology relying on the reader's intuitive understanding of the terms, but do not make the intended meaning explicit; examples include [46][47][48]. Furthermore, there is no limit to the variety of self-* terms that can be created; for instance: [38] refers to self-recognition.…”

Section: Self-managementmentioning

confidence: 99%

Self-healing and self-repairing technologies

Frei

McWilliam

Derrick

et al. 2013

Int J Adv Manuf Technol

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This article reviews the existing work in selfhealing and self-repairing technologies, including work in software engineering, materials, mechanics, electronics, MEMS, self-reconfigurable robotics, and others. It suggests a terminology and taxonomy for self-healing and selfrepair, and discusses the various related types of other self-* properties. The mechanisms and methods leading to selfhealing are reviewed, and common elements across disciplines are identified.

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“…The AC initiative's influence has been present in many computing domains, e.g., grid computing [6,7], artificial intelligence [8], robotics [9], control systems [10], serviceoriented architecture (SOA) [11,12], cloud computing [13] and complex adaptive systems [14]. In recent years, several methods and techniques have been proposed to exploit the benefits of the AC initiative in service-oriented ecosystems, for example, SAPERE [15][16][17][18][19][20], CASCADAS [21][22][23] and BIONETS [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

A survey of autonomic computing methods in digital service ecosystems

Abeywickrama

Ovaska

2016

SOCA

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Service engineering of digital service ecosystems can be associated with several challenges, such as change and evolution of requirements; gathering of quality requirements and assessment; and uncertainty caused by dynamic nature and unknown deployment environment, composition and users. Therefore, the complexity and dynamics in which these digital services are deployed call for solutions to make them autonomic. Until now there has been no upto-date review of the scientific literature on the application of the autonomic computing initiative in the digital service ecosystems domain. This article presents a review and comparison of autonomic computing methods in digital service ecosystems from the perspective of service engineering, i.e., requirements engineering and architecting of services. The review is based on systematic queries in four leading scientific databases and Google Scholar, and it is organized in four thematic research areas. A comparison framework has been defined which can be used as a guide for comparing the different methods selected. The goal is to discover which methods are suitable for the service engineering of digital service ecosystems with autonomic computing capabilities, highlight what the shortcomings of the methods are, and identify which research activities need to be conducted in order to overcome these shortcomings. The comparison reveals that none of the existing methods entirely fulfills the requirements that are defined in the comparison framework.B Dhaminda B. Abeywickrama

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AutoMate: enabling autonomic applications on the grid

Cited by 68 publications

References 9 publications

A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service

A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service

Self-healing and self-repairing technologies

A survey of autonomic computing methods in digital service ecosystems

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