List of Articles Grid computing

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  1 - Weighted-HR: an Improved Hierarchical Grid Resource Discovery
  Mohammad mehdi Gilanian sadeghi Mahdi MollaMotalebi
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  2 - Providing a Technique Based on Tree and Super-Peer Structures for Resource Discovery in Grid Environment
  Behnam Norouzi Mahdi MollaMotalebi
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  3 - Weighted-HR: An Improved Hierarchical Grid Resource Discovery
  Mahdi Mollamotalebi Mohammad Mehdi Gilanian Sadeghi
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  4 - Coping With the Loss of Quality of Job Future Predictors in Grid Computing Environments
  Reza Ghaemi hosein salami Mehrdad Jalali
  Distributed processing environments, such as grids, are one of the most important platforms for meeting the user's processing needs. These environments have the potential to meet the needs of users, but they also have their own problems, including the failure of the job More

  Distributed processing environments, such as grids, are one of the most important platforms for meeting the user's processing needs. These environments have the potential to meet the needs of users, but they also have their own problems, including the failure of the jobs. Several attempts have been made to overcome this problem, which in general can be divided into two categories of resource side methods and job side methods. All these methods need some kind of prediction of the resources or jobs status in order to pursue a proactive approach to failures. However, due to the dynamics of these environments, the developed models quickly lose their quality and thus can not effectively help with the methods mentioned. In this paper, first, by identifying the reasons for reducing the quality of predictors in the grid environment, a solution has been proposed to deal with it, and then the proposed solution has been applied in the context of job failures. The results of experiments on the two experimental environments of AuverGrid and Grid5000 showed that the proposed method would increase the quality by 0.02 and 0.06 respectively in these two environments. Manuscript profile
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  5 - Estimation of Unknown Quality of Service Values to Increase the Quality of Composite Grid Service Using Bayesian Network
  Ali Asghar Pourhaji Kazem Hossein Pedram Hasan Abolhasani
  Computational Grids have developed as a new approach to solve large scale problems in scientific, engineering and business areas. Open Grid services architecture is an adaptation of the service-oriented architecture which presents the Grid operation a set of service-ori More

  Computational Grids have developed as a new approach to solve large scale problems in scientific, engineering and business areas. Open Grid services architecture is an adaptation of the service-oriented architecture which presents the Grid operation a set of service-oriented softwares. Grid services composition provides the possibility for users to submit their complex requirements as a single request.QoS-aware Grid service composition algorithms try to construct a composite Grid service which satisfies the user-defined constraints as well as to optimize the QoS parameters. All of the presented service composition approaches in the literature discard using the Grid services with unknown QoS values in the composition process. However, estimation of unknown QoS values of Grid services provides an opportunity for them to be selected as component Grid services in the constructed composite service. In this paper, a probabilistic QoS model is presented for estimating the unknown QoS values using Bayesian network. Experimental results indicate that estimating the unknown QoS values has high accuracy and leads to more efficient composite Grid services. Manuscript profile
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  6 - Reliability Evaluation in Tree-structured Grid Services with Colored Petri Net
  Mirsaeid Hosseini Shirvani Mahdie Khanramaki
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