A Black-Box Fork-Join Latency Prediction Model for Data-Intensive Applications-Reference-Cited by-同舟云学术

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A Black-Box Fork-Join Latency Prediction Model for Data-Intensive Applications

Published:2020-09-01 Issue:9 Volume:31 Page:1983-2000
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Nguyen Minh^ORCID,Alesawi Sami^ORCID,Li Ning,Che Hao,Jiang Hong^ORCID

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/9067774/09043685.pdf?arnumber=9043685

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigation of the Fork–Join System with Markovian Arrival Process Arrivals and Phase-Type Service Time Distribution Using Machine Learning Methods;Mathematics;2024-02-23

2. Analysis of Fork-Join Scheduling on Heterogeneous Parallel Servers;IEEE/ACM Transactions on Networking;2024

3. Nonlinear approximation of characteristics of a fork–join queueing system with Pareto service as a model of parallel structure of data processing;Mathematics and Computers in Simulation;2023-12

4. Graph3PO: A Temporal Graph Data Processing Method for Latency QoS Guarantee in Object Cloud Storage System;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

5. The Delay Time Profile of Multistage Networks with Synchronization;Mathematics;2023-07-23

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