56,331 research outputs found
A grid computing framework for commercial simulation packages
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An increased need for collaborative research among different organizations, together with continuing advances in communication technology and computer hardware, has facilitated the development of distributed systems that can provide users non-trivial access to geographically dispersed computing resources (processors, storage, applications, data, instruments, etc.) that are administered in multiple computer domains. The term grid computing or grids is popularly used to refer to such distributed systems. A broader definition of grid computing includes the use of computing resources within an organization for running organization-specific applications. This research is in the context of using grid computing within an enterprise to maximize the use of available hardware and software resources for processing enterprise applications. Large scale scientific simulations have traditionally been the primary benefactor of grid computing. The application of this technology to simulation in industry has, however, been negligible. This research investigates how grid technology can be effectively exploited by simulation practitioners using Windows-based commercially available simulation packages to model simulations in industry. These packages are commonly referred to as Commercial Off-The-Shelf (COTS) Simulation Packages (CSPs). The study identifies several higher level grid services that could be potentially used to support the practise of simulation in industry. It proposes a grid computing framework to investigate these services in the context of CSP-based simulations. This framework is called the CSP-Grid Computing (CSP-GC) Framework. Each identified higher level grid service in this framework is referred to as a CSP-specific service. A total of six case studies are presented to experimentally evaluate how grid computing technologies can be used together with unmodified simulation packages to support some of the CSP-specific services. The contribution of this thesis is the CSP-GC framework that identifies how simulation practise in industry may benefit from the use of grid technology. A further contribution is the recognition of specific grid computing software (grid middleware) that can possibly be used together with existing CSPs to provide grid support. With its focus on end-users and end-user tools, it is intended that this research will encourage wider adoption of grid computing in the workplace and that simulation users will derive benefit from using this technology
UGA School of Law Computing Services Strategic Plan, 2001-2005
Originally an HTML page on the old School of Law website, the Computing Services Department in 2000 crafted a thorough strategic planning document that included a mission, vision, values, description of the current environment and services, and an outline as well as extensive clarification of six goals with at least two objective for each goal. Although the footer of the HTML page suggests an origin date of 2001, the document itself was last edited in 2005. However, the author who provided this plan indicated the date was 2004
AS-943-22 Resolution on the Creation of a School of Applied Computing
Adopts the mission, vision, and structure of the School of Applied Computing contained in the attachment to this resolution, and approves the creation of the School of Applied Computing
Recommended from our members
UGA School of Law Computing Services Strategic Plan, 2001-2005
Originally an HTML page on the old School of Law website, the Computing Services Department in 2000 crafted a thorough strategic planning document that included a mission, vision, values, description of the current environment and services, and an outline as well as extensive clarification of six goals with at least two objective for each goal. Although the footer of the HTML page suggests an origin date of 2001, the document itself was last edited in 2005. However, the author who provided this plan indicated the date was 2004
Cloud computing and context-awareness: A study of the adapted user experience
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Today, mobile technology is part of everyday life and activities and the mobile
ecosystems are blossoming, with smartphones and tablets being the major growth drivers. The mobile phones are no longer just another device, we rely on their capabilities in work and in private. We look to our mobile phones for timely and updated information and we rely on this being provided any time of any day at any place. Nevertheless, no matter how much you trust and love your mobile phone the quality of the information and the user experience is directly associated with the sources and presentation of information. In this perspective, our activities, interactions and preferences help shape the quality of service, content and products we use. Context-aware systems use such information about end-users as input mechanisms for producing applications based on mobile, location, social, cloud and customized content services. This represents new possibilities for extracting aggregated user-centric information and includes novel
sources for context-aware applications. Accordingly, a Design Research based
approach has been taken to further investigate the creation, presentation and tailoring of user-centric information. Through user evaluated experiments findings show how multi-dimensional context-aware information can be used to create adaptive
solutions tailoring the user experience to the users’ needs. Research findings in this
work; highlight possible architectures for integration of cloud computing services in
a heterogeneous mobile environment in future context-aware solutions. When it comes to combining context-aware results from local computations with those of cloud based services, the results provide findings that give users tailored and adapted experiences based on the collective efforts of the two
Managing near field communication (NFC) payment applications through cloud computing
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The Near Field Communication (NFC) technology is a short-range radio communication channel which enables users to exchange data between devices. NFC provides a contactless technology for data transmission between smart phones, Personal Computers (PCs), Personal Digital Assistants (PDAs) and such devices. It enables the mobile phone to act as identification and a credit card for customers. However, the NFC chip can act as a reader as well as a card, and also be used to design symmetric protocols. Having several parties involved in NFC ecosystem and not having a common standard affects the security of this technology where all the parties are claiming to have access to client’s information (e.g. bank account details).
The dynamic relationships of the parties in an NFC transaction process make them partners in a way that sometimes they share their access permissions on the applications that are running in the service environment. These parties can only access their part of involvement as they are not fully aware of each other’s rights and access permissions. The lack of knowledge between involved parties makes the management and ownership of the NFC ecosystem very puzzling. To solve this issue, a security module that is called Secure Element (SE) is designed to be the base of the security for NFC. However, there are still some security issues with SE personalization, management, ownership and architecture that can be exploitable by attackers and delay the adaption of NFC payment technology. Reorganizing and describing what is required for the success of this technology have motivated us to extend the current NFC ecosystem models to accelerate the development of this business area. One of the technologies that can be used to ensure secure NFC transactions is cloud computing which offers wide range advantages compared to the use of SE as a single entity in an NFC enabled mobile phone. We believe cloud computing can solve many issues in regards to NFC application management. Therefore, in the first contribution of part of this thesis we propose a new payment model called “NFC Cloud Wallet". This model demonstrates a reliable structure of an NFC ecosystem which satisfies the requirements of an NFC payment during the development process in a systematic, manageable, and effective way
UNESCO Brain Gain Project Workshop – 29th August 2012. Theme:-sharing In The Distributed Computing Research And Resources
Presentations cover the following general areas:-
Local experiences with distributed computing applications- current or planned;
Academic papers on cloud, grid and volunteer computing;
Academic papers on distributed computing applications;
Papers on cooperation at national and regional levels in distributed computing research and resource sharing;
Papers in distributed systems applications in e-science
Cloud computing : an overview
Cloud computing is receiving keen interest and is being widely adopted. It offers clients applications, data, computing resources, and information technology (IT) management functions as a service through the Internet or a dedicated network. Several converging and complementary factors have led to cloud computing’s emergence as a popular IT service‐delivery model that appeals to all stakeholders. Considered as paradigm change in IT, it is being adopted for a variety of applications – personal, academic, business, government, and more – not only for cost savings and expediency but also to meet strategic IT and business goals. It is transforming every sector of society and is having a profound impact, especially on the IT industry and on IT professionals – application developers, enterprise IT administrators, and IT executives. Driven by advances in cloud technology, the proliferation of mobile devices such as smartphones and tablets, and use of a variety of applications supported by ubiquitous broadband Internet access, the computing landscape is continuing to change. There is an accompanying paradigm shift in the way we deliver and use IT. Cloud computing is a radical new IT delivery and business model. Users can use cloud services when and where they need them and in the quantity that they need, and pay for only the resources they use. It also offers huge computing power, on‐demand scalability, and utility‐like availability at low cost. Cloud computing is no longer hype. Individuals are using cloud‐based applications, such as Web mail and Web‐based calendar or photo‐sharing Web sites (e.g., Flickr, Picasa) and online data storage. Small‐ and medium‐sized enterprises are using cloud‐based applications for accounting, payroll processing, customer relationship management (CRM), business intelligence, and data mining. Large enterprises use cloud services for business functions, such as supply‐chain management, data storage, big data analytics, business process management, CRM, modeling and simulation, and application development. Research studies reveal that users give convenience, flexibility, the ability to share information, and data safety as major reasons for engaging in cloud computing activities. As cloud computing is moving towards mainstream adoption, there is considerable excitement and optimism, as well as concerns and criticism. Many people have incomplete information or are confused about cloud computing’s real benefits and key risks, which matter to them. Given its transformational potential and significance, it is important that students, IT professionals, business managers and government leaders have an informed, holistic understanding of cloud computing and how they can embrace it. In this chapter, we present an overview of cloud computing concepts, cloud services, cloud‐hosting models, and applications. We also outline the benefits and limitations of cloud computing, identify its potential risks, and discuss the prospects for the cloud and what businesses and individuals can do to embrace cloud computing successfully. Finally, we discuss the prospects and implications of cloud computing for businesses, the IT industry, and IT professionals
Computing News ; vol. 14, no. 02 (Winter 1999)
23 p.Student Account Information -- Modem Updates -- Trojan Horse on Campus -- Computing Center Who's Who -- Acrobat 3 on DARKWING, GLADSTONE -- Winter Workshop Schedule -- Web Search Tips -- UO's PVM Cluster -- ccMail's Life Expectancy -- Financial Research Data Service -- Dreamweaver Review -- IP/TV Broadcast Opportunity -- Web Proxy Server Update -- SP4 for Windows NT 4.0 -- 'Required by Law' (new Law School computing column) -- Web Virtual Hosting -- What to Do When Your System's Hacked/Crashed -- UO Connects to Internet 2 -- NSRC, Computing Center in Angol
Toward mobile learning deployment in higher education
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mobile Learning (M-learning) refers to any kind of learning which takes place within and beyond the traditional learning environment via wireless mobile devices. These devices are able to move with the learner to allow learning anytime, anywhere. M-learning is considered as the next step beyond electronic learning (E-learning) and distance learning (D-learning) by using mobile wireless devices with internet connectivity to facilitate formal and informal learning. Over the past decade M-learning has become gradually popular in university settings by providing mobile access to learning resources, collaborative learning and to exchange formative evaluation and feedback between students and instructors. Therefore, M-learning involves learning activities that are not restricted to a specific time or place. Despite the familiarity with M-learning as a new paradigm in modern education, there has been a shortage of research concerning how to deploy this technology in a successful way. The integration of M-learning in a university environment needs to involve some aspects in terms of the readiness of users and institutions, users‟ acceptance and engagement, and the sustainability of the system. There are some initial models that investigate the implementation of M-learning which provide some guidelines that work as starting point for the future of M-learning deployment. However, there is no theoretical model that provides guidelines for staged deployment of M-learning. In addition, there was no clear definition of sustainability factors that will assure continues evaluation and upgrade of M-learning systems after deployment. The aims of this research work are to study students‟ readiness for M-learning, investigate the factors that affect students‟ acceptance and analyse M-learning literature in order to propose and evaluate a model which can be used to foster the sustainable deployment of M-learning within teaching and learning strategies in higher education institutions. The research was conducted in Brunel University, West London. Data were collected from School of Information, Computing and Mathematical Science students using three surveys: the first studied students‟ readiness for M-learning, the second investigated factors that affect students‟ acceptance of M-learning and the last one developed and evaluated a sustainable M-learning deployment model.
The outcome of this research lead to a conceptual model that gives a wide overview of all elements that need to be addressed in the M-learning environment and bridges the gap between the pre- and post-implementation phases in order to ensure sustainability. Furthermore, the model provides university educators with a planned approach to incorporate M-learning in higher education curriculums with the aim of improving teaching and learning
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