Cloud is a novel computing paradigm that builds on the foundations of Distributed Computing, Grid Computing, Networking, Virtualization, Service Orientation, and Market-Oriented Computing. Cloud provides flexible resource allocation on demand with the promise of realizing elastic, Internet-accessible, computing on a pay-as-you-go basis. Cloud services include infrastructure such as computing and storage servers, platform such as operating systems, and application software; these are often referred to as infrastructure-as-a-service or SaaS, platform-as-a-service or PaaS, and software-as-a-service or SaaS, respectively.

With the development of cloud computing, more and more services are deployed or transferred to the cloud. It provides more solutions to the customer, but accompanies with a series of problems. Before this paradigm can be widely accepted, many issues have yet to be resolved, including modeling and development of cloud services and applications, techniques and policies for ensuring security and privacy, cloud service performance modeling and optimization, techniques for accurate cloud service quality prediction, etc.

This workshop focuses on the challenges imposed by effective and personalized service discovery on clouds, and on the different state-of-the-art solutions proposed to overcome these challenges. It brought together the collaborative and distributed computing community and the personalized computing community in an effort to generate productive conversations on the discovery of cloud services.

Papers of applied research, industrial experience reports, work-in-progress and vision papers with different criteria for each category that describe recent advances and efforts in the design and composition of cloud services that will benefit many applications are also solicited.

Topics of interests include, but are not limited to:

XaaS (everything as a service including IaaS, PaaS, and SaaS)
Service Integration and Orchestration on the Cloud
Service Mining on the Cloud
Personalized Service Discovery/Recommendation
Grid and Computational Services
Service Composition and Engineering
Managing Services on the Cloud
Managing a Cloud Platform
Software engineering models, methods and methodologies for XaaS
Workflow management in clouds
Management Processes and Methods
Managing Service Infrastructure
Business Intelligence and Analytics for Services
Service Security, Privacy and Trust
Quality of Services (QoS) and Cost of Services (CoS)
Ontology and Semantic Web for Services Computing
Services Repository and Registry
Formal Methods for SOA