NDLI: Instance expansion algorithm for micro-service with prediction

Content Provider	IET Digital Library
Author	Zhu, Min Qu, Hua Zhao, Jihong
Abstract	Instance expansion of micro-service consumes time for constructing new instances, it cannot satisfy the requirement of low latency service, such as scientific calculation workflows. In order to reduce the time for expanding instances, an instance expansion algorithm for micro-service with prediction is proposed in this letter, which sets correntropy as cost function and uses maximum correntropy criteria to filter the burst service requirements to improve the accuracy of prediction, and use stochastic gradient descent algorithm to train the data set to predict the required micro-service instances in the next time. The performance of the proposed algorithm is analysed in a real experiment telecom office with the compared ones using A/B test, and the experimental results show that the proposed algorithm has 70% less time of instance expansion than the compared ones, and the accuracy of the proposed algorithm is 20% more than the compared one which uses least mean square as the cost function.
Starting Page	356
Ending Page	357
Page Count	2
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 6, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.4117
Journal	Electronics Letters
Publisher Date	2018-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A/B Test Cost Function Gradient Method Instance Expansion Algorithm Instance Expansion Time Internet Software Interpolation And Function Approximation Least Mean Square Low Latency Service Maximum Correntropy Criteria Maximum Entropy Method Microservice Numerical Analysis Service-oriented Architecture Software Engineering Stochastic Gradient Descent Algorithm Web Services
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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