About
IEEE Transactions on Services Computing
TSC is a scholarly, archival journal published quarterly. It is noted that only service-oriented grid computing topics will be covered by
TSC.
TSC is a journal that focuses on research on the algorithmic, mathematical, statistical and computational methods that are central in services computing; the emerging field of Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, Services Operations and Management.
Scope of Interest
Topics of interest include, but are not limited to, the following:
- Mathematical foundation of Services Computing
- Service-Oriented Architecture (SOA)
- Service creation
- development, and management
- Linkage between IT services and business services
- Web services security and privacy
- Web services agreement and contract
- Web services discovery and negotiation
- Web services management
- Web services collaboration
- Quality of Service for Web services
- Web services modeling and performance management
- Solution frameworks for building service-oriented applications
- Composite Web service creation and enabling infrastructures
- Business and scientific applications using Web services and SOA
- Business process integration and management using Web services
- Standards and specifications of Services Computing
- Utility models and solution architectures, Resource acquisition models in Utility Computing
- Mathematical foundation of business process modeling, integration and management
- Business process modeling, integration, and collaboration.
Submission Instructions:
This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about
OA submissions here.
For author information and guidelines on submission criteria, please visit the
TSC Information and
Submission Guidelines page on
IEEE Transactions on Services Computing.
Please be sure to visit the
TSC Taxonomy List.
In addition to submitting your paper to
TSC, you are also encouraged to upload the data related to your paper to
IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission.
Questions?
Contact:
Editorial board, and
staff
