Understanding the Need for Service Integration Introduction Software Systems and Applications Rationale behind Service Integration Challenges in Service Integration Solutions Proposed in the Book Existing Parallel and Distributed Systems, Challenges and Solutions Modern Software Architectures, Systems and APIs for Parallel and Distributed Systems HPC Systems SOA Multi-tier Architectures Peer-to-peer, Distributed Software Objects and Agents Grid Systems Volunteer Computing Cloud Computing Sky Computing Mobile Computing Complex Distributed Scenarios as Workflow Applications Workflow Structure Abstract vs Concrete Workflows Data Management Workflow Modeling for Scientific and Business Computing Workflow Scheduling Static vs Dynamic Scheduling Workflow Management Systems Challenges and Proposed Solutions Integration of Systems Implementing Various Software Architectures Integration of Services for Various Target Application Types Dynamic QoS Monitoring and Evaluation of Distributed Software Services Dynamic Data Management with Storage Constraints in a Distributed System Dynamic Optimization of Service-based Workflow Applications with Data Management in Distributed Heterogeneous Environment A Concept of Dynamic Quality Management for Service-based Workflows in Distributed Environments A Generalized Quality Model of a Service Uniform Description of Modern Distributed Systems Mapping of Various Service Types and Legacy Software to the Generalized Service A Solution for Dynamic QoS-aware Optimization of Service-based Workflow Applications Proposed Architecture A Generalized Dynamic Workflow Scheduling Model A QoS-aware Workflow Scheduling Problem A Dynamic QoS-aware Workflow Scheduling Problem A Dynamic QoS-aware Workflow Scheduling Problem with Data Streaming Dynamic Workflow Application Scheduling with Quality of Service Monitoring and Measurement of Quality Metrics Monitoring Procedure Measurement and Digital Filtering of Data Workflow Scheduling Algorithms Integer Linear Programming Genetic Algorithms Divide and Conquer Hill Climbing Characteristics and Comparison of Algorithms Service Selection with Dynamic Data Flows and Automatic Data Parallelization Extending the Genetic Algorithm Formulation Extending the Integer Linear Formulation Mixing Two Algorithms for Service Selection and Data Distribution Modeling Additional Dependencies or Constraints Discounts Synchronization Tasks Associated Tasks Integer Data Sizes Data Sizes Known at Runtime Only Data Servers or Repositories Checkpointing in Workflow Optimization Dynamic Data Management in Workflow Execution Model Considering Data Constraints and Management Multithreaded Implementation of Data Handling Data Streaming Data Sizes and; Sky Computing Mobile Computing Complex Distributed Scenarios as Workflow Applications Workflow Structure Abstract vs Concrete Workflows Data Management Workflow Modeling for Scientific and Business Computing Workflow Scheduling Static vs Dynamic Scheduling Workflow Management Systems Challenges and Proposed Solutions Integration of Systems Implementing Various Software Architectures Integration of Services for Various Target Application Types Dynamic QoS Monitoring and Evaluation of Distributed Software Services Dynamic Data Management with Storage Constraints in a Distributed System Dynamic Optimization of Service-based Workflow Applications with Data Management in Distributed Heterogeneous Environment A Concept of Dynamic Quality Management for Service-based Workflows in Distributed Environments A Generalized Quality Model of a Service Uniform Description of Modern Distributed Systems Mapping of Various Service Types and Legacy Software to the Generalized Service A Solution for Dynamic QoS-aware Optimization of Service-based Workflow Applications Proposed Architecture A Generalized Dynamic Workflow Scheduling Model A QoS-aware Workflow Scheduling Problem A Dynamic QoS-aware Workflow Scheduling Problem A Dynamic QoS-aware Workflow Scheduling Problem with Data Streaming Dynamic Workflow Application Scheduling with Quality of Service Monitoring and Measurement of Quality Metrics Monitoring Procedure Measurement and Digital Filtering of Data Workflow Scheduling Algorithms Integer Linear Programming Genetic Algorithms Divide and Conquer Hill Climbing Characteristics and Comparison of Algorithms Service Selection with Dynamic Data Flows and Automatic Data Parallelization Extending the Genetic Algorithm Formulation Extending the Integer Linear Formulation Mixing Two Algorithms for Service Selection and Data Distribution Modeling Additional Dependencies or Constraints Discounts Synchronization Tasks Associated Tasks Integer Data Sizes Data Sizes Known at Runtime Only Data Servers or Repositories Checkpointing in Workflow Optimization Dynamic Data Management in Workflow Execution Model Considering Data Constraints and Management Multithreaded Implementation of Data Handling Data Streaming Data Sizes andt;BR> Dynamic QoS Monitoring and Evaluation of Distributed Software Services Dynamic Data Management with Storage Constraints in a Distributed System Dynamic Optimization of Service-based Workflow Applications with Data Management in Distributed Heterogeneous Environment A Concept of Dynamic Quality Management for Service-based Workflows in Distributed Environments A Generalized Quality Model of a Service Uniform Description of Modern Distributed Systems Mapping of Various Service Types and Legacy Software to the Generalized Service A Solution for Dynamic QoS-aware Optimization of Service-based Workflow Applications Proposed Architecture A Generalized Dynamic Workflow Scheduling Model A QoS-aware Workflow Scheduling Problem A Dynamic QoS-aware Workflow Scheduling Problem A Dynamic QoS-aware Workflow Scheduling Problem with Data Streaming Dynamic Workflow Application Scheduling with Quality of Service Monitoring and Measurement of Quality Metrics Monitoring Procedure Measurement and Digital Filtering of Data Workflow Scheduling Algorithms Integer Linear Programming Genetic Algorithms Divide and Conquer Hill Climbing Characteristics and Comparison of Algorithms Service Selection with Dynamic Data Flows and Automatic Data Parallelization Extending the Genetic Algorithm Formulation Extending the Integer Linear Formulation Mixing Two Algorithms for Service Selection and Data Distribution Modeling Additional Dependencies or Constraints Discounts Synchronization Tasks Associated Tasks Integer Data Sizes Data Sizes Known at Runtime Only Data Servers or Repositories Checkpointing.