An effective scheme for qos estimation via alternating direction method-based matrix factorization

Document Type

Article

Publication Date

7-1-2019

Abstract

Accurately estimating unknown quality-of-service (QoS) data based on historical records of Web-service invocations is vital for automatic service selection. This work presents an effective scheme for addressing this issue via alternating direction methodbased matrix factorization. Its main idea consists of a) adopting the principle of the alternating direction method to decompose the task of building a matrix factorization-based QoS-estimator into small subtasks, where each one trains a subset of desired parameters based on the latest status of the whole parameter set; b) building an ensemble of diversified single models with sophisticated diversifying and aggregating mechanism; and c) parallelizing the construction process of the ensemble to drastically reduce the time cost. Experimental results on two industrial QoS datasets demonstrate that with the proposed scheme, more accurate QoS estimates can be achieved than its peers with comparable computing time with the help of its practical parallelization.

Identifier

85100765923 (Scopus)

Publication Title

IEEE Transactions on Services Computing

External Full Text Location

https://doi.org/10.1109/TSC.2016.2597829

e-ISSN

19391374

First Page

503

Last Page

518

Issue

4

Volume

12

Grant

Xm2014043

Fund Ref

Royal Society

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