Journal Information
Journal of Grid Computing
Impact Factor:

Call For Papers
Grid computing is an emerging technology that enables large-scale resource sharing and coordinated problem solving within distributed, often loosely coordinated groups-what are sometimes termed "virtual organizations. By providing scalable, secure, high-performance mechanisms for discovering and negotiating access to remote resources, Grid technologies promise to make it possible for scientific collaborations to share resources on an unprecedented scale, and for geographically distributed groups to work together in ways that were previously impossible. Similar technologies are being adopted within industry, where they serve as important building blocks for emerging service provider infrastructures.

Even though the advantages of this technology for classes of applications have been acknowledged, research in a variety of disciplines, including not only multiple domains of computer science (networking, middleware, programming, algorithms) but also application disciplines themselves, as well as such areas as sociology and economics, is needed to broaden the applicability and scope of the current body of knowledge. Topics that fit within this theme include:

Protocols, middleware, and services for security, discovery, sharing, management etc., of computing, storage, data and other resources - within dynamic, distributed communities.
Scaling issues in various dimensions: number of sites, number of users, number of resources, aggregate performance, and amount of data.
Peer-to-peer and internet computing.
Design environments, application development tools, languages and compilation techniques for GRID Computing.
Grid applications and system solutions in science, engineering and commerce.
Novel uses of Grid Computing concepts and technologies, for example in sensor nets and education.
Advanced collaboration technologies for collaborative work, information sharing and problem solving.
The implications of Grid technologies for emerging optical and wireless infrastructures.
The human and/or market dynamics that may influence resource sharing decisions and the choice of collaboration modalities within small and large communities.
Last updated by Dou Sun in 2017-04-13
Special Issues
Special Issue on Storage for the Big Data Era
Submission Date: 2017-06-30

One of the main conceptual breakthroughs in computer science, invented in theory by the baroness Ada Lovelace and then implemented in the Charles Babbage's Analytic Machine design and the von Neumann computer architecture has been the ability to use 'memory' to store both data and instructions. Following decades of progress in computer science, we are on the fringe of a new Big Data Era that poses significant requirements for the storage of both data and instructions. Undoubtedly, there exist problems for which even exascale computing approaches will not be enough. Immense storage capacity cannot be used without thoughtful storage designs that take care of many important aspects, such as availability versus cost. Storage can and still be used for both programs, that nowadays come in the form of functional Virtual Machine, container or other disk images and for storing raw data, such as file systems, object stores and other more structured forms of storage for data and metadata. Nowadays, in distributed computing environments such as cloud federations, the functional and nonfunctional requirements for storage play an increasingly important role. Therefore, new methods, approaches and technologies are necessary to address these requirements. Innovative approaches may include innovative forms of cloud storage federations, distribution and content-delivery networks, provenance tracking and replica management strategies, multi-objective optimization of storage etc. New and innovative storage paradigms have not been sufficiently addressed in the literature. The objectives of this Special Issue of the Grid Computing Journal are therefore to provide focused dissemination of new approaches, methods, and technologies for storage in the Big Data Era. Topics of interest may include: - Hierarchical approaches for storing data for the Internet of Things - Edge/Fog computing concepts for storage - Data fusion technologies - Software defined storage - Storage-related Quality of Service models - Service Level Agreements for storage - Measurement methods for storage properties - Storage approaches focusing on Virtual Machine, container and other disk images - Federation forms for storage - Security, privacy and other non-functional aspects of storage - Storage for Open Data
Last updated by Dou Sun in 2017-04-13
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