2009
DOI: 10.1007/978-3-642-03275-2_35
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Application-Level and Job-Flow Scheduling: An Approach for Achieving Quality of Service in Distributed Computing

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Cited by 15 publications
(13 citation statements)
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“…Based on this purpose, Berman proposes an application-centric scheduling which is used by virtually all meta-computer programmers to achieve performance on meta-computing systems [24]; Li presents a portable middleware layer component designed for implementation over POSIX-compliant operating system for deal with the real-time scheduling [25]; Toporkov develops a combination of job-flow and application-level techniques of scheduling within virtual organizations within a grid computing environment [26]; Zhu introduces a scheduling optimization for a Web server cluster with a master/slave architecture which separates static and dynamic content processing [27]; Aziz investigates a framework for resource allocation and task scheduling, management architecture for resource services (MARS), which efficiently…”
Section: Application-level and Resource-intensive Scheduling Methodsmentioning
confidence: 99%
“…Based on this purpose, Berman proposes an application-centric scheduling which is used by virtually all meta-computer programmers to achieve performance on meta-computing systems [24]; Li presents a portable middleware layer component designed for implementation over POSIX-compliant operating system for deal with the real-time scheduling [25]; Toporkov develops a combination of job-flow and application-level techniques of scheduling within virtual organizations within a grid computing environment [26]; Zhu introduces a scheduling optimization for a Web server cluster with a master/slave architecture which separates static and dynamic content processing [27]; Aziz investigates a framework for resource allocation and task scheduling, management architecture for resource services (MARS), which efficiently…”
Section: Application-level and Resource-intensive Scheduling Methodsmentioning
confidence: 99%
“…Such a probabilistic modeling formalism enables a fuzzy logic through the use of "noisy" logic gates, whenever the output is not deterministic, but associated with a certain probability [21].…”
Section: Measuring Detection Trustworthiness In Real-timementioning
confidence: 99%
“…Mobile applications are popular among startups and approaches for quick prototyping to evaluate the concept of an application are now in high demand. All of these features contribute to the complexity and specifics of mobile testing [6,21]. As for mobile testing in this work, I mean comprehensive testing of a mobile system that includes the testing of mobile apps as well as mobile operation systems (OS) and the related hardware.…”
Section: Mobile Application Testingmentioning
confidence: 99%
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