A balanced scheduling method for multi-threaded tasks based on two-level parallelism between clusters and big data clustering

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Information Technology and Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijitm.2025.10070570
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A balanced scheduling method for multi-threaded tasks based on two-level parallelism between clusters and big data clustering

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International Journal of Information Technology and Management
Distributed and Parallel Computing Systems
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A balanced scheduling method for multi-threaded tasks based on two-level parallelism between clusters and big data clustering

Wei Cao, Jue Huang, S.-W. Chen, Yun Fu Zhao, Hui Tong, Yuxin Lu, Xian Yang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information Technology and ManagementVol. 1(1)
Openalex Percentile: Top 93%
Distributed and Parallel Computing Systems
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