scholarly journals Dynamic virtual clusters in a grid site manager

Author(s):  
J.S. Chase ◽  
D.E. Irwin ◽  
L.E. Grit ◽  
J.D. Moore ◽  
S.E. Sprenkle
2020 ◽  
Vol 13 (5) ◽  
pp. 999-1007
Author(s):  
Karthikeyan Periyasami ◽  
Arul Xavier Viswanathan Mariammal ◽  
Iwin Thanakumar Joseph ◽  
Velliangiri Sarveshwaran

Background: Medical image analysis application has complex resource requirement. Scheduling Medical image analysis application is the complex task to the grid resources. It is necessary to develop a new model to improve the breast cancer screening process. Proposed novel Meta scheduler algorithm allocate the image analyse applications to the local schedulers and local scheduler submit the job to the grid node which analyses the medical image and generates the result sent back to Meta scheduler. Meta schedulers are distinct from the local scheduler. Meta scheduler and local scheduler have the aim at resource allocation and management. Objective: The main objective of the CDAM meta-scheduler is to maximize the number of jobs accepted. Methods: In the beginning, the user sends jobs with the deadline to the global grid resource broker. Resource providers sent information about the available resources connected in the network at a fixed interval of time to the global grid resource broker, the information such as valuation of the resource and number of an available free resource. CDAM requests the global grid resource broker for available resources details and user jobs. After receiving the information from the global grid resource broker, it matches the job with the resources. CDAM sends jobs to the local scheduler and local scheduler schedule the job to the local grid site. Local grid site executes the jobs and sends the result back to the CDAM. Success full completion of the job status and resource status are updated into the auction history database. CDAM collect the result from all local grid site and return to the grid users. Results: The CDAM was simulated using grid simulator. Number of jobs increases then the percentage of the jobs accepted also decrease due to the scarcity of resources. CDAM is providing 2% to 5% better result than Fair share Meta scheduling algorithm. CDAM algorithm bid density value is generated based on the user requirement and user history and ask value is generated from the resource details. Users who, having the most significant deadline are generated the highest bid value, grid resource which is having the fastest processor are generated lowest ask value. The highest bid is assigned to the lowest Ask it means that the user who is having the most significant deadline is assigned to the grid resource which is having the fastest processor. The deadline represents a time by which the user requires the result. The user can define the deadline by which the results are needed, and the CDAM will try to find the fastest resource available in order to meet the user-defined deadline. If the scheduler detects that the tasks cannot be completed before the deadline, then the scheduler abandons the current resource, tries to select the next fastest resource and tries until the completion of application meets the deadline. CDAM is providing 25% better result than grid way Meta scheduler this is because grid way Meta scheduler allocate jobs to the resource based on the first come first served policy. Conclusion: The proposed CDAM model was validated through simulation and was evaluated based on jobs accepted. The experimental results clearly show that the CDAM model maximizes the number of jobs accepted than conventional Meta scheduler. We conclude that a CDAM is highly effective meta-scheduler systems and can be used for an extraordinary situation where jobs have a combinatorial requirement.


Author(s):  
Elizabeth Shoop ◽  
Richard Brown ◽  
Eric Biggers ◽  
Malcolm Kane ◽  
Devry Lin ◽  
...  
Keyword(s):  

2018 ◽  
Vol 29 (2) ◽  
pp. 450-465 ◽  
Author(s):  
Lei Yu ◽  
Haiying Shen ◽  
Zhipeng Cai ◽  
Ling Liu ◽  
Calton Pu

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Masoud Zavari ◽  
Mohammad Reza Afshar

PurposeIn the construction industry, site managers are responsible for the day-to-day on-site running of a project. Site managers are required not only to ensure that work is done safely, on time, within budget and to the right quality standards, but also to manage any delays or problems encountered on-site during a construction project. Thus, a site manager has a significant position in the success of a construction project. However, there is a lack of studies considering the role of the leadership style of a site manager in construction project success. In this study, not only the effect of the transformational leadership (TL) style of site managers on the success of construction projects is assessed, but also the mediating role of team-building (TB) and team innovation between TL and project success is studied.Design/methodology/approachThe proposed hypotheses are tested by comparing the performance criteria of construction projects with the TL style of site managers. The success criteria of the projects are examined using project documents and client opinions, and the TL of site managers, TB aspects and team innovation in projects are assessed by asking from their subordinates. The Pearson correlation coefficient is employed to investigate the relation between every two variables.FindingsThe results illustrate that the TL of a site manager is directly related to project success; thus, the findings would confirm the importance of selecting appropriate site managers for construction projects. Moreover, while there is a mediating role of TB between TL and construction project success, team innovation does not have a mediating impact in design-bid-build (DBB) construction projects.Originality/valueAs there is a lack of studies assessing the TL effects on the success of construction projects and the significant role of site managers, this study is one of the first researches that tested these impacts and evaluated the mediating role of TB and team innovation between TL and project performance.


Author(s):  
Weihua Huang ◽  
Zhong Ma ◽  
Xinfa Dai ◽  
Mingdi Xu ◽  
Yi Gao

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