A Mixture Density Network Approach to Predicting Response Times in Layered Systems

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Zifeng Niu;Casale, Giuliano

Description

The archives include the research data associated to the paper: A Mixture Density Network Approach to Predicting Response Times in Layered Systems. The paper is in the Proceedings of IEEE MASCOTS 2021. The research data includes five datasets that correspond to the section 6 of the paper: -(1) FCFS_single_class: The response time distribution in single class queueing network with FCFS scheduling discipline.
-(2) PS_single_class: The response time distribution in single class queueing network with PS scheduling discipline.
-(3) FCFS_multiclasses: The response time distribution in two-class queueing network with FCFS scheduling discipline.
-(4) PS_multiclasses: The response time distribution in two-class queueing network with PS scheduling discipline.
-(5) Test: The corresponding test pairs for (1)-(4) and the response time distribution of each pair, saved as histogram. The collection of training sets (1)-(4) is divided into subsections and executed by Condor batch-processing system.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Computer Networks and Communications

Field

Computer Science

Domain

Physical Sciences

Confidence Score

43%

Source

Scholar Data Model

Keywords

response time data, queueing network, closed model

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00