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  1. IEEE Transactions on Services Computing
  2. Year : 2015 Volume : 8
  3. Issue 4
  4. Network-Aware QoS Prediction for Service Composition Using Geolocation
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Year : 2016 Volume : 9
Year : 2015 Volume : 8
Issue 6
Issue 5
Issue 4
A Framework for Consumer-Centric SLA Management of Cloud-Hosted Databases
Cohesion-Driven Decomposition of Service Interfaces without Access to Source Code
Control of Large-Scale Systems through Dimension Reduction
Dynamic Test Reconfigurationfor Composite Web Services
Efficient Community Formation for Web Services
From RBAC to ABAC: Constructing Flexible Data Access Control for Cloud Storage Services
Network Aware Scheduling for Virtual Machine Workloads with Interference Models
Network-Aware QoS Prediction for Service Composition Using Geolocation
Issue 3
Issue 2
Issue 1
Year : 2014 Volume : 7
Year : 2013 Volume : 6
Year : 2012 Volume : 5
Year : 2011 Volume : 4
Year : 2010 Volume : 3
Year : 2009 Volume : 2
Year : 2008 Volume : 1

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Network-Aware QoS Prediction for Service Composition Using Geolocation

Content Provider IEEE Xplore Digital Library
Author Xinyu Wang Jianke Zhu Yuanhong Shen
Copyright Year 2008
Abstract QoS-aware web service composition intends to maximize the global QoS of a composite service with local and global QoS constraints while selecting the independent candidate services from different providers. With the increasing number of candidate services emerging from the Internet, the network delays often greatly affect the performance of the composite service, which are usually difficult to be collected beforehand. One remedy is to predict them for the composition. However, there are some new issues in network delay predictions for the composition, including prediction accuracy, on-demand measures to new services and runtime overhead. In this paper, we try to tackle these critical challenges by taking advantage of the geolocations of candidate services. We first describe a network-aware service composition problem. Then, we present a novel geolocation-based NQoS prediction and reprediction approach for service composition. Furthermore, a geolocation-based service selection algorithm is presented to make use of our NQoS prediction approach for the composition. We have conducted extensive experiments on the real-world data set collected from PlanetLab. Comparative experimental results demonstrate that our approach improves the prediction accuracy and predictability of the NQoS and reduces the runtime overheads in predicting the composition.
Sponsorship IEEE Computer Society
Starting Page 630
Ending Page 643
Page Count 14
File Size 2441028
File Format PDF
ISSN 19391374
Volume Number 8
Issue Number 4
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2015-07-01
Publisher Place U.S.A.
Access Restriction One Nation One Subscription (ONOS)
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Cascading style sheets Bandwidth Quality of service Delays Geology Accuracy Extraterrestrial measurements re-selection QoS-aware service composition geolocation network performance prediction
Content Type Text
Resource Type Article
Subject Information Systems and Management Computer Networks and Communications Computer Science Applications Hardware and Architecture
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