A Method for Health Detection in Eureka Based on Load Forecasting

Chao Deng, Xinming Tan, Lang Li

2019

Abstract

Health detection relies on the heartbeat mechanism in Eureka. The heartbeat mechanism analyzes the status of service by periodically detecting the running status of the service node. But it doesn't care whether the service runs successfully, therefore reducing the success rate of service calls. In order to solve the problem, this paper proposes a new method for load forecasting based on time series. The value of load forecasting is used to measure the health of the service node quantitatively, and the number of available instances is effectively reduced during load balancing and the load balancing efficiency was improved.

Paper Citation

in Harvard Style

Deng C., Tan X. and Li L. (2019). A Method for Health Detection in Eureka Based on Load Forecasting.In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC, ISBN 978-989-758-357-5, pages 227-232. DOI: 10.5220/0008098902270232

in Bibtex Style

@conference{ctisc19,
author={Chao Deng and Xinming Tan and Lang Li},
title={A Method for Health Detection in Eureka Based on Load Forecasting},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,},
year={2019},
pages={227-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008098902270232},
isbn={978-989-758-357-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,
TI - A Method for Health Detection in Eureka Based on Load Forecasting
SN - 978-989-758-357-5
AU - Deng C.
AU - Tan X.
AU - Li L.
PY - 2019
SP - 227
EP - 232
DO - 10.5220/0008098902270232