A resource management and fault tolerance services in grid computing

Lee, HwaMin; Chung, Kwang-Sik; Chin, SungHo; Lee, Jonghyuk; Lee, DaeWon; Park, Seongbin; Yu, Heonchang

doi:10.1016/j.jpdc.2005.05.026

Cited by 28 publications

(14 citation statements)

References 5 publications

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“…Referring to Lee et al (2005), the failure in an MGrid system was defined by Tao et al (2010b) as follows: 'It is a failure if and only if one of the following two conditions is satisfied (but not both): (a) a resource service stops due to a resource crash, and (b) the availability of a resource does not meet the minimum levels of a task'. In the authors' previous work (Tao et al 2010b), 13 types of failure that could be generated during MGrid 4138 F. Tao et al resource service scheduling were investigated, and they were classified into four categories: (a) virtual link related failures; (b) resource service related failures; (c) task related failures; and (d) application related failures.…”

Section: Reliability Managementmentioning

confidence: 99%

A review of the application of grid technology in manufacturing

Tao

Zhang

Nee

2011

International Journal of Production Research

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Grid technology has been recognised as a promising paradigm for the next generation manufacturing systems. Researchers have attempted to apply grid technology to product design, manufacturing resource integration and sharing, enterprise management, enterprise collaboration, resource optimal allocation and scheduling, and to enable the digitalisation of enterprise information as an implementation methodology. It has been already close to a decade since the first appearance of the concept of manufacturing grid (MGrid). Many projects on the application of grid technologies in manufacturing have been carried out, and a large number of research papers on MGrid have been published. In order for MGrid to be better known and accepted by researchers in the manufacturing community, this study aims to describe the connotation of MGrid through investigating existing research studies on MGrid. The contributions of this study are: (1) highlighting the motivations and driving forces of MGrid; (2) detailed description of the connotation of MGrid, such as the concept of MGrid;(3) presenting the key research contents and technologies of MGrid, including its four commonly known categories and 31 items; (4) investigating and summarising existing research on MGrid theories and applications; and (5) projecting several key future research issues of MGrid.

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Section: Reliability Managementmentioning

confidence: 99%

A review of the application of grid technology in manufacturing

Tao

Zhang

Nee

2011

International Journal of Production Research

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“…To improve reliability, fault tolerance [11,12] is often used in computing systems including grid computing systems [13][14][15][16][17][18][19]. Fault recovery, one of fault tolerance techniques which adopts checkpointing and rollback/roll-forward scheme, can enable a task to recover from an error and resume the processing of the task; see e.g., [20,21].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of cloud service considering fault recovery

2011

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Cloud computing is a recent trend in IT, which has attracted lots of attention. In cloud computing, service reliability and service performance are two important issues. To improve cloud service reliability, fault tolerance techniques such as fault recovery may be used, which in turn has impact on cloud service performance. Such impact deserves detailed research. Although there exist some researches on cloud/grid service reliability and performance, very few of them addressed the issues of fault recovery and its impact on service performance. In this paper, we conduct detailed research on performance evaluation of cloud service considering fault recovery. We consider recovery on both processing nodes and communication links. The commonly adopted assumption of Poisson arrivals of users' service requests is relaxed, and the interarrival times of service requests can take arbitrary probability distribution. The precedence constraints of subtasks are also considered. The probability distribution of service response time is derived, and a numerical example is presented. The proposed cloud performance evaluation models and methods could yield results which are realistic, and thus are of practical value for related decisionmakings in cloud computing.

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“…For Web service combination, the weighted computation of QoS attributes global optimization method has been studied in literature [8], this method may be suitable for Grid service across platforms. The service selection algorithms based on combination and optimization of QoS attributes were proposed in perspectives of the Web service and Grid service, respectively [9,10]. The latter also gave fault-tolerant services to ensure the reliable performance of task processing.…”

Section: Introductionmentioning

confidence: 99%

The Representation and Computation of QoS Preference with Its Applications in Grid Computing Environments

Liang

Wang

2010

Ann. Telecommun.

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In Grid computing environment, quality of service (QoS) provisioning must be provided to the end users on the basis of their specific requirements. This paper proposes in a first step QoS attributes for Grid applications. In this matter, a mix of quantitative and qualitative parameters have to be considered. In the context, the analytical hierarchy process (AHP) technique [1] is a possible approach to formulate the QoS requirements of the users for Grid services. In order to apply QoS preference to actual application, we introduce a QoS function and a metric for user's satisfaction degrees. These both tools can be used as an evaluation criterion by the user. Subsequently, an algorithm of service selection considering the user's QoS preference is presented. Our empirical studies indicate that the application can reliably select the optimal service for users.

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A resource management and fault tolerance services in grid computing

Cited by 28 publications

References 5 publications

A review of the application of grid technology in manufacturing

A review of the application of grid technology in manufacturing

Performance evaluation of cloud service considering fault recovery

The Representation and Computation of QoS Preference with Its Applications in Grid Computing Environments

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