scispace - formally typeset
Open Access

Non-functional Property based service selection: A survey and classification of approaches

Reads0
Chats0
TLDR
This is the author's final draft of the paper published as CEUR Proceedings, 2008, 411, paper 2, and presented at the 2nd Workshop on Non Functional Properties and Service Level Agreements in Service Oriented Computing at ECOWS 2008, Dublin, Ireland, November 12, 2008.
Abstract
This is the author's final draft of the paper published as CEUR Proceedings, 2008, 411, paper 2, and presented at the 2nd Workshop on Non Functional Properties and Service Level Agreements in Service Oriented Computing at ECOWS 2008, Dublin, Ireland, November 12, 2008.. This paper is available from http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-411/.

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

How to Track Your Data: The Case for Cloud Computing Provenance

TL;DR: In this article, a survey of provenance for cloud computing is presented, and the challenges and requirements for collecting provenance in a cloud, based on which the gap between current approaches to requirements is shown.

How to track your data: The case for cloud computing provenance

TL;DR: This paper surveys current mechanisms that support provenance for cloud computing, classify provenance according to its granularities encapsulating the various sets of provenance data for different use cases, and summarizes the challenges and requirements for collecting provenance in a cloud, based on which the gap between current approaches to requirements is shown.
Journal ArticleDOI

A survey of methods and approaches for reliable dynamic service compositions

TL;DR: This paper defines the required phases of the composite service design and execution to achieve reliable composite service and describes in the form of a framework the existing methods and approaches for reliable composite services to find out how they match with the criteria of the framework.
Book ChapterDOI

Effective and Flexible NFP-Based Ranking of Web Services

TL;DR: An approach to NFP-based ranking of WSs providing support for semantic mediation, consideration of expressive NFP descriptions both on provider and client side, and novel matching functions for handling either quantitative or qualitative NFPs is introduced.
Proceedings ArticleDOI

QoS-aware Deployment of Network of Virtual Appliances Across Multiple Clouds

TL;DR: Two different deployment approaches are proposed and compared: Forward-checking-based backtracking (FCBB) and genetic-based, which take into account Quality of Service (QoS) criteria such as reliability, data communication cost, and latency between multiple Clouds to choose the most appropriate combination of virtual machines and appliances.
References
More filters
Proceedings Article

The PageRank Citation Ranking : Bringing Order to the Web

TL;DR: This paper describes PageRank, a mathod for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them, and shows how to efficiently compute PageRank for large numbers of pages.
Proceedings ArticleDOI

QoS computation and policing in dynamic web service selection

TL;DR: This paper presented an open, fair and dynamic QoS computation model for web services selection through implementation of and experimentation with a QoS registry in a hypothetical phone service provisioning market place application.
Journal ArticleDOI

A framework and ontology for dynamic Web services selection

TL;DR: This article addresses dynamic service selection via an agent framework coupled with a QoS ontology with the aim of enabling participants to collaborate to determine each other's service quality and trustworthiness.
Proceedings ArticleDOI

Discovering the best web service

TL;DR: This work introduces the Web Service Relevancy Function (WsRF) used for measuring the relevancy ranking of a particular Web service based on QoS metrics and client preferences and proposes a solution to this problem.
Book ChapterDOI

A qos-aware selection model for semantic web services

TL;DR: A QoS-based selection of services is proposed using the Web Services Modeling Ontology for annotating service descriptions with QoS data and a fair and dynamic selection mechanism is presented, using an optimum normalization algorithm.
Related Papers (5)