LEADER 05568nam 2200709 a 450 001 9910830261003321 005 20200420142539.0 010 $a1-299-27728-4 010 $a1-118-55465-5 035 $a(CKB)2560000000099403 035 $a(EBL)1143553 035 $a(SSID)ssj0000904722 035 $a(PQKBManifestationID)11512246 035 $a(PQKBTitleCode)TC0000904722 035 $a(PQKBWorkID)10924091 035 $a(PQKB)10352456 035 $a(MiAaPQ)EBC1143553 035 $a(OCoLC)830161797 035 $a(PPN)190397985 035 $a(EXLCZ)992560000000099403 100 $a20130322d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBusiness and scientific workflows$b[electronic resource] $ea web service-oriented approach /$fWei Tan, MengChu Zhou 210 $aHoboken, N.J. $cWiley$d2013 215 $a1 online resource (272 p.) 225 1 $aIEEE Press series on systems science and engineering 300 $aDescription based upon print version of record. 311 $a1-118-55460-4 311 $a1-118-17133-0 320 $aIncludes bibliographical references and index. 327 $aBusiness and Scientific Workflows: A Web Service-Oriented Approach; Contents; Foreword; Preface; 1. Introduction; 1.1 Background and Motivations; 1.1.1 Web Service and Service-Oriented Architecture; 1.1.2 Workflow Technology; 1.2 Overview of Standards; 1.2.1 Web Service-Related Standards; 1.2.2 Workflow-Related Standards; 1.3 Workflow Design: State of the Art; 1.3.1 Automatic Service Composition; 1.3.2 Mediation-Aided Service Composition; 1.3.3 Verification of Service-Based Workflows; 1.3.4 Decentralized Execution of Workflows; 1.3.5 Scientific Workflow Systems; 1.4 Contributions 327 $a2. Petri Net Formalism2.1 Basic Petri Nets; 2.2 Workflow Nets; 2.3 Colored Petri Nets; 3. Data-Driven Service Composition; 3.1 Problem Statement; 3.1.1 Domains and Data Relations; 3.1.2 Problem Formulation; 3.2 Data-Driven Composition Rules; 3.2.1 Sequential Composition Rule; 3.2.2 Parallel Composition Rule; 3.2.3 Choice Composition Rule; 3.3 Data-Driven Service Composition; 3.3.1 Basic Definitions; 3.3.2 Derive AWSP from Service Net; 3.4 Effectiveness and Efficiency of the Data-Driven Approach; 3.4.1 Solution Effectiveness; 3.4.2 Complexity Analysis; 3.5 Case Study; 3.6 Discussion 327 $a3.7 Summary3.8 Bibliographic Notes; 4. Analysis and Composition of Partially-Compatible Web Services; 4.1 Problem Definition and Motivating Scenario; 4.1.1 A Motivating Scenario; 4.2 Petri Net Formalism for BPEL Service, Mediation, and Compatibility; 4.2.1 CPN Formalism for BPEL Process; 4.2.2 CPN Formalism for Service Composition; 4.2.3 Mediator and Mediation-Aided Service Composition; 4.3 Compatibility Analysis via Petri Net Models; 4.3.1 Transforming Abstract BPEL Process to SWF-net; 4.3.2 Specifying Data Mapping; 4.3.3 Mediator Existence Checking; 4.3.4 Proof of Theorem 4.1 327 $a4.4 Mediator Generation Approach4.4.1 Types of Mediation; 4.4.2 Guided Mediator Generation; 4.5 Bibliographic Notes; 4.5.1 Web Service Composition; 4.5.2 Business Process Integration; 4.5.3 Web Service Configuration; 4.5.4 Petri Net Model of BPEL Processes; 4.5.5 Component/Web Service Mediation; 5. Web Service Configuration with Multiple Quality-of-Service Attributes; 5.1 Introduction; 5.2 Quality-of-Service Measurements; 5.2.1 QoS Attributes; 5.2.2 Aggregation; 5.2.3 Computation of QoS; 5.3 Assembly Petri Nets and Their Properties; 5.3.1 Assembly and Disassembly Petri Nets 327 $a5.3.2 Definition of Incidence Matrix and State-Shift Equation5.3.3 Definition of Subgraphs and Solutions; 5.4 Optimal Web Service Configuration; 5.4.1 Web Service Configuration under Single QoS Objective; 5.4.2 Web Service Configuration under Multiple QoS Objectives; 5.4.3 Experiments and Performance Analysis; 5.5 Implementation; 5.6 Summary; 5.7 Bibliographic Notes; 6. A Web Service-Based Public-Oriented Personalized Health Care Platform; 6.1 Background and Motivation; 6.2 System Architecture; 6.2.1 The System Architecture of PHISP; 6.2.2 Services Encapsulated in PHISP 327 $a6.2.3 Composite Service Specifications 330 $aFocuses on how to use web service computing and service-based workflow technologies to develop timely, effective workflows for both business and scientific fields Utilizing web computing and Service-Oriented Architecture (SOA), Business and Scientific Workflows: A Web Service-Oriented Approach focuses on how to design, analyze, and deploy web service-based workflows for both business and scientific applications in many areas of healthcare and biomedicine. It also discusses and presents the recent research and development results. This informative reference features app 410 0$aIEEE Press series on systems science and engineering. 606 $aWorkflow 606 $aBusiness$xData processing 606 $aInformation technology 606 $aIndustrial management 615 0$aWorkflow. 615 0$aBusiness$xData processing. 615 0$aInformation technology. 615 0$aIndustrial management. 676 $a003 676 $a658.4038011 700 $aTan$b Wei$0665285 701 $aZhou$b MengChu$028004 712 02$aSystems, Man, & Cybernetics Society. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830261003321 996 $aBusiness and scientific workflows$93981162 997 $aUNINA