Novel quality of service-oriented Spark job scheduler
Spark is a widely-used big data computing framework to process and analyze the explosive-growing data. The cloud can provide on-demand and pay-as-you-go computing resources to satisfy the users’ requirements. Currently, many organizations have deployed big data computing clusters on the cloud. These...
Saved in:
| Main Authors: | HE Yulin, MO Peiheng, Fournier-Viger Philippe, HUANG Zhexue |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2025-01-01
|
| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails?columnId=109252703&Fpath=home&index=0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel quality of service-oriented Spark job scheduler
by: HE Yulin, et al.
Published: (2025-07-01) -
Servitization of Job Shop Scheduling Algorithms
by: LIU Sheng-hui, et al.
Published: (2018-06-01) -
Optimization of High-Performance Computing Job Scheduling Based on Offline Reinforcement Learning
by: Shihao Li, et al.
Published: (2024-12-01) -
job shop scheduling problem:literature review
by: Marrwa Abd-AlKareem Alabajee, et al.
Published: (2020-08-01) -
Enhancing Task Management in Apache Spark Through Energy-Efficient Data Segregation and Time-Based Scheduling
by: Nada M. ishak, et al.
Published: (2024-01-01)