Web Service Mining Framework

Yin

2009 International Conference on Computational Intelligence and Security

et al. 2009

More and more web services are emerging in the Internet with development of service computing over the past decade. The web service in SOA system naturally forms into some service community during execution process. Mining and analysis web service community will help design SOA system and support web service application effectively. This article addresses the problem of how to discovering web services community formed by closely interactive web services. We propose a novel approach which construct web service execution network from logs and clustering it using spectrum clustering. Generally, the web services belong to same cluster have strong relative to same task object and we call it web service community. The approach has been implemented in an experience system for web services dynamic composition and mining.

“…We first cut the time axis into several interval T 1, T 2 ,…,T n according to the natural time unit such as hour, day, week, etc. let ( ) ( ) 1 …”

Section: Mining Web Service Communitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Web Service Community Discovery Based on Spectrum Clustering

Yin

2009 International Conference on Computational Intelligence and Security

et al. 2009

2010 IEEE International Conference on Web Services

“…[5,6]). Here, due to the enormous number of existing services and their applicability in many different processes, scalability problems are raised to new heights: the number of services to be efficiently composed ranges in the area of several thousand in each workflow.…”

Section: Introductionmentioning

confidence: 99%

Highly Scalable Web Service Composition Using Binary Tree-Based Parallelization

Hennig

Balke

2010

Abstract-Data intensive applications, e.g. in life sciences, pose new efficiency challenges to the service composition problem. Since today computing power is mainly increased by multiplication of CPU cores, algorithms have to be redesigned to benefit from this evolution. In this paper we present a framework for parallelizing service composition algorithms investigating how to partition the composition problem into multiple parallel threads. But in contrast to intuition, the straightforward parallelization techniques do not lead to superior performance as our baseline evaluation reveals. To harness the full power of multi-core architectures, we propose two novel approaches to evenly distribute the workload in a sophisticated fashion. In fact, our extensive experiments on practical life science data resulted in an impressive speedup of over 300% using only 4 cores. Moreover, we show that our techniques can also benefit from all advanced pruning heuristics used in sequential algorithms.

“…Service requesters have access to a choice of descriptions to various services that provide similar service functionality. Automation of dynamic web service discovery is made viable by expression of domain specific knowledge [3] [4]. Service discovery is to match service requirement and service capability.…”

Section: Introductionmentioning

confidence: 99%

Architecture for Evaluating Web Service QoS Parameters using Agents

Thirumaran¹,

Dhavachelvan²,

Abarna³

et al. 2010

IJCA

As Web services have become the grand vision these days, more and more people are seeking out the practicalities of implementing and using them for business benefit. Thus Web services make application functionality available over the Internet in a standardized, programmatic way. QoS support for Web service has become a widely researched area and has shown to be an effective mechanism in Web services' discovery particularly in differentiating between services that share similar functionalities and finally by evaluating QOS and providing interface for selecting the web service. In this paper, we are providing a sophisticated architecture for quality driven web service evaluation. Agents are used to evaluate the QWS parameters. This work also discussed about the quality attributes with organized set of design related questions which helps an evaluator to analyze the ability of the architecture to meet quality requirements, and provides a brief sample evaluation. ATAM method of software architecture evaluation is used to evaluate the proposed model. The assessment justifies the proposal in terms of the performance attributes such as reliability, availability, modifiability, security and interoperability etc.