Service-oriented computing is a popular design methodology for large scale business computing systems. Grid computing enables the sharing of distributed computing and data resources such as processing, networking and storage capacity to create a cohesive resource environment for executing distributed applications in service-oriented computing. Grid computing represents more business-oriented orchestration of pretty homogeneous and powerful distributed computing resources to optimize the execution of time consuming process as well. Grid computing have received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational in e-Science and businesses. The objective of the journal is to serve as both the premier venue for presenting foremost research results in the area and as a forum for introducing and exploring new concepts.

Authors are solicited to contribute to this Open Access peer-reviewed Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to

Topics of interest include but are not limited to, the following

    Applications, including eScience and eBusiness Applications
    Architectures and Fabrics
    Distributed and Large-Scale Data Access and Management
    Core Grid Infrastructure
    Peer to Peer Protocols in Grid Computing
    Network Support for Grid Computing
    Monitoring, Management and Organization Tools
    Networking and Security
    Performance Measurement and Modelling
    Metadata, Ontology, and Provenance
    Middleware and toolkits for Grid Computing
    Computing and Programming Models
    Programming Tools and Environments
    Distributed Problem Solving
    Creation and Management of Virtual Enterprises and Organizations
    Information Services
    Resource Management, Scheduling, and Runtime Environments
    Scientific, Industrial and Social Implications
    QoS and SLA Negotiation
    Grid Economy and Business Models
    Autonomic and Utility Computing on Global Grids
    Cluster and Grid Integration Issues
    Web Services, Semantic Grid and Web 2.0
    Grid related Applications