Socially Enhanced Services Computing Modern Models and Algorithms for Distributed Systems

Socially enhanced Services Computing deals with a novel and exciting new field at the intersection between Social Computing, Service-oriented Computing, Crowd Computing, and Cloud Computing. The present work presents a collection of selected papers by the editors of this volume, which they feel will help the reader in understanding this field. The approach discussed allows for a seamless integration of people into trusted dynamic compositions of Human-provided Services and Software-based services, thus empowering new interaction models and processes in massive collaboration scenarios in a Future Internet.

Preface .- 

Introduction .-

The Human-Provided Services Framework

(Daniel Schall, Hong-Linh Truong, Schahram Dustdar) .-

 Unifying Human and Software Services in

Web-Scale Collaborations (Daniel Schall, Hong-Linh Truong, Schahram Dustdar) .-

Modeling and Mining of Dynamic Trust in Complex Service-oriented Systems (Florian Skopik, Daniel Schall, Schahram Dustdar) .-

Script-based Generation of Dynamic Testbeds for SOA (Lukasz Juszczyk and Schahram Dustdar) .-

Behavior Monitoring in Self-healing Service-oriented Systems (Harald Psaier, Florian Skopik, Daniel Schall, Schahram Dustdar) .-

Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems (Harald Psaier, Lukasz Juszczyk, Florian Skopik, Daniel Schall, Schahram Dustdar) .-