Service Orchestration as Organization

Service orchestration techniques combine the benefits of Service Oriented Architecture (SOA) and Business Process Management (BPM) to compose and coordinate distributed software services. On the other hand, Software-as-a-Service (SaaS) is gaining popularity as a software delivery model through cloud platforms due to the many benefits to software vendors, as well as their customers. Multi-tenancy, which refers to the sharing of a single application instance across multiple customers or user groups (called tenants), is an essential characteristic of the SaaS model.

Written in an easy to follow style with discussions supported by real-world examples, Service Orchestration as Organization introduces a novel approach with associated language, framework, and tool support to show how service orchestration techniques can be used to engineer and deploy SaaS applications.

• Describes the benefits as well as the challenges of building adaptive, multi-tenant software service applications using service-orchestration techniques
• Provides a thorough synopsis of the current state of the art, including the advantages and drawbacks of the adaptation techniques available
• Describes in detail how the underlying framework of the new approach has been implemented using available technologies, such as business rules engines and web services

Software Architects and Software Engineers, Researchers and postgraduate research students (PhD/Master students), Undergraduate students, BPM (Business Process Modeling) practitioners

• List of Figures
• List of Tables
• List of Listings
• Preface
• About the Authors
• Part One

  • 1. Introduction

    • 1.1 Business process management
    • 1.2 Service orchestration and its adaptation
    • 1.3 Research goals
    • 1.4 Approach overview
    • 1.5 Contributions
    • 1.6 Overview of this book
  • 2. Motivational Scenario

    • 2.1 RoSAS business model
    • 2.2 Support for controlled change
    • 2.3 Support for SIMT
    • 2.4 Requirements of service orchestration
    • 2.5 Summary
  • 3. Literature Review

    • 3.1 BPM – an overview
    • 3.2 BPM and SOA
    • 3.3 Adaptability in BPM
    • 3.4 Techniques to improve adaptability in BPM
    • 3.5 Summary and observations
    • 3.6 Towards an adaptive service orchestration framework
    • 3.7 Summary
• Part Two

  • 4. Orchestration as Organisation

    • 4.1 The organisation
    • 4.2 Loosely coupled tasks
    • 4.3 Behaviour-based processes
    • 4.4 Two-tier constraints
    • 4.5 Behaviour specialisation
    • 4.6 Interaction membranes
    • 4.7 Support for adaptability
    • 4.8 Managing complexity
    • 4.9 The meta-model
    • 4.10 Summary
  • 5. Serendip Runtime

    • 5.1 The design of an adaptive service orchestration runtime
    • 5.2 Process life cycle
    • 5.3 Event processing
    • 5.4 Data synthesis of tasks
    • 5.5 Dynamic process graphs
    • 5.6 Summary
  • 6. Adaptation Management

    • 6.1 Overview of process management and adaptation
    • 6.2 Adaptation management
    • 6.3 Adaptations
    • 6.4 Automated process validation
    • 6.5 State checks
    • 6.6 Summary
• Part Three

  • 7. The Serendip Orchestration Framework

    • 7.1 Serendip-Core
    • 7.2 Deployment environmen