Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies

Grid is an infrastructure that involves the integrated and collaborative use of computers, networks, databases and scientific instruments owned and managed by multiple organizations. Grid applications often involve large amounts of data and/or computing resources that require secure resource sharing across organizational boundaries. This makes Grid application management and deployment a complex undertaking. Grid middlewares provide users with seamless computing ability and uniform access to resources in the heterogeneous Grid environment. Several software toolkits and systems have been developed, most of which are results of academic research projects, all over the world. This chapter will focus on four of these middlewares--UNICORE, Globus, Legion and Gridbus. It also presents our implementation of a resource broker for UNICORE as this functionality was not supported in it. A comparison of these systems on the basis of the architecture, implementation model and several other features is included.Comment: 19 pages, 10 figure

Spartan Daily, October 25, 1935

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Leveraging the Grid to Provide a Global Platform for Ubiquitous Computing Research

The requirement for distributed systems support for Ubicomp has led to the development of numerous platforms, each addressing a subset of the overall requirements of ubiquitous systems. In contrast, many other scientific disciplines have embraced the vision of a global distributed computing platform, i.e. the Grid. We believe that the Grid has the potential to evolve into an ideal platform for building ubiquitous computing applications. In this paper we explore in detail the areas of synergy between Grid computing and ubiquitous computing and highlight a series of research challenges in this space

The Java CoG kit grid desktop : a simple and central approach to grid computing using the graphical desktop paradigm.

Grid computing is evolving as a service based, flexible and secure resource sharing environment. Currently, with the help of Grid middleware toolkits, Grids are exposing their services through programming models and command line interfaces, requiring much technical knowledge of the backend Grid systems. Grid portals also exist, but fall short on integrating with native environments and maintaining a uniform user interface from portal to portal. In order to gain wider acceptance within the large and less technical oriented user communities, we need a homogeneous graphical user environment that supports the challenging task of providing Grid users an easy to use, seamless and transparent interface requiring minimal user participation. Motivated by the needs of these users, we are presenting the Grid Desktop based on the popularity of the graphical desktop paradigms such as KDE and Windows XP. The Java CoG Kit Grid Desktop is a user centric workspace that enhances the normal operating system desktop paradigm by interlacing Grid concepts and leveraging commodity technologies like Java. The Grid Desktop contributes to the Java CoG Kit architecture and delivers ubiquitous computing through the Java CoG Kit abstractions, portability through XML and Java Web start technologies, and a simple user interface by following the vastly popular desktop patterns such as drag-n-drop

A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing

Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.Comment: 46 pages, 16 figures, Technical Repor

Spartan Daily, May 25, 1936

Volume 24, Issue 141https://scholarworks.sjsu.edu/spartandaily/2469/thumbnail.jp

UNICORE and GRIP: experiences of grid middleware development

We describe our experiences with the UNICORE Grid environment. Several lessons of general applicability can be drawn in regard to user uptake and security. The principal lesson is that more effort should be taken to be made to meet the needs of the target user community of the middleware development. Novel workflow strategies, in particular, should not be imposed on an existing community