Journal Information
IEEE Transactions on Services Computing (TSC)
Impact Factor:

Call For Papers
IEEE Transactions on Services Computing(TSC) is a scholarly archival journal published quarterly that will emphasize 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. Specifically, this new title covers but not limited to the following topics:

    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.

It is noted that only Web service-oriented Grid computing will be covered by Services Computing. Services Computing does not cover most of the topics in traditional Grid computing areas (i.e. computing resource sharing and parallel computing). Please be sure to visit the new TSC Taxonomy list for additional information with the submission and review process.
Last updated by Dou Sun in 2016-09-25
Special Issues
Special Issue on Fog Computing and Services
Submission Date: 2017-10-31

The emerging Internet of Things (IoT) and rich cloud services have helped create the need for fog computing (also known as edge computing), in which data processing occurs in part at the network edge or anywhere along the cloud-to-endpoint continuum that can best meet user requirements, rather than completely in a relatively small number of massive clouds. Fog computing could address latency concerns, devices??? limited processing and storage capabilities and battery life, network bandwidth constraints and costs, and many security and privacy concerns that arise from the emerging IoT. The new Fog/Edge computing paradigm will enable the resources and services of computing, storage, networking, and control to be distributed closer to the users. Software distributions for various applications can now be hosted by fog servers, e.g., image processing packages for preprocessing images in video surveillance applications. Operating systems and the associated services can be offered through nearby fog servers to reduce round trip latency. Equipment outsourcing, such as storage, hardware, servers, and networking components can also be provisioned through fog servers. Fog computing is an extension to cloud services ??? it complements the clouds to enable computing where it makes the most sense. Many new problems arise in enabling fog computing and services, creating a fertile ground for research and innovation. We are prompted to design new algorithmic, mathematical, statistical and computational methods to solve services computing problems on this new architecture. Service creation, development, and management, web services, business processes, and so on, need to be carefully redesigned. In addition, the new fog computing architecture can further provide new solutions to hard problems in the existing architectural framework, e.g., IoT services, security and privacy. Topics of Interest to the Special Issue include but not limited to: - fog service architecture; - discovery and synchronization; - fog-to-cloud interfaces and protocols; - data management in a distributed fog computing environment; - software-defined fog computing; - mobility and connectivity; - computing, storage, and services; - resource management and provision; - management of fog systems and services; - security and privacy; - heterogeneity; - scalability; - energy efficiency; - programmability and programming models; - accountability/monetization; - trials and experimental results; - tools; and - novel fog/edge applications and services.
Last updated by Dou Sun in 2016-09-25
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