Advances in Grid Computing

This book approaches the grid computing with a perspective on the latest achievements in the field, providing an insight into the current research trends and advances, and presenting a large range of innovative research papers. The topics covered in this book include resource and data management, grid architectures and development, and grid-enabled applications. New ideas employing heuristic methods from swarm intelligence or genetic algorithm and quantum encryption are considered in order to explain two main aspects of grid computing: resource management and data management. The book addresses also some aspects of grid computing that regard architecture and development, and includes a diverse range of applications for grid computing, including possible human grid computing system, simulation of the fusion reaction, ubiquitous healthcare service provisioning and complex water systems

ProjectSnap: Addressing the Project Fragmentation Problem

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Improvement of DHRA-DMDC Physical Access Software DBIDS Using Cloud Computing Technology: a Case Study

The U.S government has created and been executing an Identity and Management (IdM) vision to support a global, robust, trusted and interoperable identity management capability that provides the ability to correctly identify individuals and non-person entities in support of DoD mission operations. Many Directives and Instructions have been issued to standardize the process to design, re-designed new and old systems with latest available technologies to meet the visions requirements. In this thesis we introduce a cloud-based architecture for the Defense Biometric Identification System (DBIDS), along with a set of DBIDS Cloud Services that supports the proposed architecture. This cloud-based architecture will move DBIDS in the right direction to meet Dod IdM visions and goals by decoupling current DBIDS functions into DBIDS core services to create interoperability and flexibility to expand future DBIDS with new requirements. The thesis will show its readers how DBIDS Cloud Services will help Defense Manpower Data Center (DMDC) easily expanding DBIDS functionalities such as connecting to other DMDC services or federated services for vetting purposes. This thesis will also serve as a recommendation of a blue-print for DBIDS architecture to support new generation of DBIDS application. This is a step closer in moving DMDC Identity Enterprise Solution toward DoD IdM realizing vision and goals. The thesis also includes a discussion of how to utilize virtualized DBIDS workstations to address software-deployment and maintenance issues to resolve configuration and deployment issues which have been costly problems for DMDC over the years.http://archive.org/details/improvementofdhr109457379Civilian, Department of Defens

Trusted community : a novel multiagent organisation for open distributed systems

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Department of Computer Science Activity 1998-2004

This report summarizes much of the research and teaching activity of the Department of Computer Science at Dartmouth College between late 1998 and late 2004. The material for this report was collected as part of the final report for NSF Institutional Infrastructure award EIA-9802068, which funded equipment and technical staff during that six-year period. This equipment and staff supported essentially all of the department\u27s research activity during that period

Moi Helsinki. Personalised user interface solutions for generative data

In the modern days, online search stands out as the most popular way to access a major amount of information. At the same time, browsing through too much data could lead to an information overload. Helping users to feel more individual, as well as appropriately navigating them through the data is an objective designers should raise. In the theoretical background of this work, I bring attention to techniques that allow one to work with generative data and its contextualisation. I study historical and philosophical aspects of information perception, as well as the modern experience of working with online search engines such as Google. I refer to information architecture principles that can adapt user interface designs to generative content. In the age of big data and information pollution, a designer’s objective could be employing technology to make data more human-centred. Along with the theoretical writing, this thesis also consists of project work. Moi Helsinki is a location-based event calendar for the Helsinki area. The calendar gathers information about events retrieved from social media API, and showcases aggregated data in a single feed. Moi Helsinki reshapes the data output with the help of interface personalisation, showing the most relevant results at the top. It employs a user’s current geographical location in order to tailor search results based on proximity for each visitor. The options provided to website visitors within the UI are extended with further customisation, which can be enabled by adjusting the data output beyond just a user’s location. Setting aside certain distinctive features of event calendars, Moi Helsinki chooses another path to explore. Being more of a mediator than proprietor, Moi Helsinki offers a new way to reshape the data and communicate human-centred values through user interface