measurement scheduling
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2020 ◽  
Vol 10 (3) ◽  
Author(s):  
Xavier Bonet-Monroig ◽  
Ryan Babbush ◽  
Thomas E. O’Brien

2013 ◽  
Vol 662 ◽  
pp. 892-895
Author(s):  
Jun Han ◽  
Shu Fang Zhang

In this paper, we introduced a scientific computing environment for Internet-Oriented computing resource sharing, abbreviate ISCEs, which is a high-performance computing environment that allows users to write and evaluate parallel distributed applications for different hardware and software configurations using a web interface. We described the software architecture of ISCEs by emphasizing Application editor, Application Scheduling Components, and Application execution/runtime modules. ISCEs is efficient which is strongly supported by the time measurement scheduling polices, it has the advantage of convenient scientific activity, task-oriented scheduling algorithm prediction, scalability, efficiency.


2012 ◽  
Vol 241-244 ◽  
pp. 2953-2956
Author(s):  
Shu Fang Zhang ◽  
Jun Han ◽  
Fei Jiang

In this paper, we introduced a scientific computing environment for Internet-Oriented computing resource sharing, abbreviate ISCEs, which is a high-performance computing environment that allows users to write and evaluate parallel distributed applications for different hardware and software configurations using a web interface. We described the software architecture of ISCEs by emphasizing Application editor, Application Scheduling Components, and Application execution/runtime modules. ISCEs is efficient which is strongly supported by the time measurement scheduling polices. The system resource monitoring can also benefit a lot from the Application execution/runtime modules. The results obtained from performance analysis show that Scalability and Speedup of ISCEs was good.


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