SOA is an architectural style for building loosely coupled and composite applications. Adopting SOA can prepare organizations for reusing different parts of their
applications within and across organizations while expanding with new roles, new products and new processes introduced. The increasing complexity of SOAs
imposes challenges on the deploying infrastructure to scale on demands. In this regard, the cloud serves as an infrastructure solution to deploying services in an
open and shared environment. The successful combination of SOA and cloud can bring new benefits with lower cost for delivering new services an organization offers. However, the elasticity of cloud at the infrastructure level does not mean the SOAs can automatically achieve performance and scalability.

A variety of classical and emerging challenges arise as deploying and operating SOAs in the cloud, such as how to automatically discover and bind to the ‘right’
service; how to automatically negotiate a SLA among a group of collaborative services on different clouds; how to check/resolve policy conflicts between these
services; how to handle exceptions of long-running transactions across loosely coupling services and etc. All of these challenges share a similar requirement for
SOAs: building adaptability in web services so that they can adapt themselves to accommodate the heterogeneity of interfaces and QoS, resolve the conflicts and
handle the fault in a dynamic environment at runtime.

In the previous series of this workshop, published papers have addressed the issues from aspects of software architecture, processes and testing, deployment and
configuration, and quality of service management. In the 4th edition of this workshop we aim to broaden the scope by specifically addressing topics that link
adaptability of SOAs to the paradigm of cloud computing. In additional to the topics covered in the previous serious, we also encourage submissions of papers
addressing relative technologies such as virtualization, multi-tenancy, monitoring, billing and reporting of service usages, and cloud computing.
The aim of SEASS 2010 is to encourage academic researchers and industry practitioners to present and discuss all adaptability-related research and
experiences in a very broad spectrum of service oriented computing. The topics of the workshop include but not limited to:

* Software architecture support for enhancing SOA adaptability, including standards and protocols proposal or extension for dynamic collaborations
among services
* Accountability of services, including mechanisms, algorithms and methods to monitoring, analysing and reporting service status and usage profile
* Capacity planning of services running on the cloud
* Security and trustworthy in multi-tenancy service hosting environment
* Experience in using complex event processing
* Web services for data intensive computing and scientific workflows
* Patterns, best practices and experience report in adaptation development for a class of cloud applications
* Automated deployment and configuration of services on cloud
* Policy definition, confliction checking and resolving and enforcement at runtime
* Adaptive business process, service deployment process,
* Negotiation protocols for SLA and dynamic service binding
* Testing, configuration and deployment for adaptive service management
* Requirements and dependencies management on service oriented systems


Organizers

* Jenny Yan Liu, Pacific Northwest National Laboratory , WA. Yan.liu@pnl.gov

* Shiping Chen, CSIRO ICT Centre, Australia Shiping.chen@csiro.au

* Ian Gorton, Pacific Northwest National Laboratory , WA. Ian.gorton@pnnl.gov

* Liming Zhu, National ICT Australia liming.zhu@nicta.com.au


Program Committee (Pending)

Matti Hiltunen, AT&T Labs, USA
Hans-Arno Jacobsen, University of Toronto, Canada
Marin Litoiu, York University, Canada
Heiko Ludwig, IBM Research, USA
Hong-Mei Chen, University of Hawaii, USA
Danilo Ardagna, Politecnico di Milano, Italy
Ivona Brandic, Vienna University of Technology, Austria
Paul Grace, Lancaster University, UK
Lorenz Froihofer, Vienna University of Technology, Austria
Pat Martin, Queens University, Canada
Chen Wang, CSIRO ICT Centre, Australia
Yun Yang, Swinburne University of Technology, Australia
Jun Han, Swinburne University of Technology, Australia
Ge Yu, Northeastern University, China
Karl M. Goeschka, Vienna University of Technology, Austria
Cesare Pautasso, University of Lugano, Switzerland