A Comparison of Scheduling parallel program tasks based on Java Applet

Solayman, Haleema Essa

doi:10.30534/ijatcse/2020/75922020

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“…Adaptive scheduling strategy is a scheduling strategy proposed on the basis of dynamic scheduling strategy, which can further reduce the synchronization time and endow the scheduling system with adaptability [16][17]. The adaptive scheduling strategy can realize the load balancing of data parallel or model parallel training.…”

Section: Distributed Processing Systemmentioning

confidence: 99%

Coupled Distributed Systems Considering Multitasking Dynamic Scheduling Algorithms

2021

DPS

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With the rapid development of Internet technology and the comprehensive arrival of the era of big data, the development of enterprise business scale and the rise of logic complexity make coupled distributed systems play an increasingly important role in enterprise-level applications. The multi-task dynamic scheduling scheme based on the proposed method has problems such as poor manageability, poor task scheduling ability and poor usability. Therefore, this paper studies and constructs the coupled distributed system considering the multi-task dynamic scheduling. This paper firstly introduces the relevant theories. In the system theory part, it mainly introduces the scheduling module, followed by the system design. In the system design part, the task scheduling is mainly designed. Finally, the system implementation is carried out. Scheduling accuracy is analyzed.

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Section: Distributed Processing Systemmentioning

confidence: 99%

Coupled Distributed Systems Considering Multitasking Dynamic Scheduling Algorithms

2021

DPS

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A Comparison of Scheduling parallel program tasks based on Java Applet

Cited by 1 publication

References 0 publications

Coupled Distributed Systems Considering Multitasking Dynamic Scheduling Algorithms

Coupled Distributed Systems Considering Multitasking Dynamic Scheduling Algorithms

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