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Search Results: 1 - 10 of 4810 matches for " Resource discovery "
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A Novel Resource Distributed Discovery and Management in Grid Computing
M. Brinda Kumar,Dr. K.P. Kaliyamurthie
International Journal of Computer Science and Mobile Computing , 2013,
Abstract: In grid-computing environment the computer resources are shared under the grid nodes.Resource discovery is an important process for finding suitable nodes that satisfy application requirements ingrid environment. In most of the existing resource discovery mechanisms rely mainly on recent observedresource capacities of individual nodes to make their deployment decision based on current status of thenodes have severe limitations to achieve scalability because of the presence of internodes dynamism inaddition to the internodes heterogeneity. Individual nodes have widely varying resource capabilities due tovarying loads, network connectivity, churn, or user behavior. Besides internodes heterogeneity, many of thesesystems also show a high degree of internodes dynamism, so that selecting nodes based only on their recentlyobserved resource capacities can lead to poor deployment decisions resulting in application failures ormigration overheads.
Comparative Analysis of Resource Discovery Approaches in Grid Computing
Anju Sharma,Seema Bawa
Journal of Computers , 2008, DOI: 10.4304/jcp.3.5.60-64
Abstract: Grid technologies enable the sharing of a wide variety of distributed resources. To utilize these resources, effective Resource Management systems are needed. Resource Management system performs resource discovery to obtain information about the available resources. However, the complex and dynamic nature of grid resources make sharing and discovery, a challenging issue. Resource Discovery is initiated by a network application to find suitable resources with in the Grid. Resource Discovery process is critical for efficient resource allocation and management. For making the Resource Discovery more efficient and reliable large numbers of Approaches are there. This paper analyses some of existing Approaches for Resource Discovery, which can search for the preferred resources quickly and efficiently (return the correct results quickly and reduce network complexity) in Grid computing. Finally a qualitative comparison between these Approaches based on the factors that affect Grid Resource Discovery process, has been done and results are presented.
Searching Life, the Universe and Everything? The Implementation of Summon at the University of Huddersfield
Graham Stone
Liber Quarterly : The Journal of European Research Libraries , 2010,
Abstract: A review of the recent literature suggests that users prefer simple search interfaces such as Google. The implication here is that libraries often fail to make their resources discoverable and that this may in turn affect the perceived value of the library. Against the background of the ongoing national debate about user expectations, a project group at the University of Huddersfield was asked to investigate the current provision for electronic resources and to look at a solution which would ‘provide ease of searching and access for the user, whilst reducing the workload for systems and technical services and remaining within current budget levels’. As a direct result of this review, the University of Huddersfield was the first UK commercial adopter of Summon in the summer of 2009. The Summon web-scale discovery service from Serials Solutions provides a simple single-search box to the breadth of the library's collection, swiftly delivering simultaneous information and results from the local catalogue and remote electronic resources offering a real alternative to the traditional federated search. This paper will provide a case study of the implementation, evaluation and launch of this radical new service to users at the University of Huddersfield, by detailing the approaches used and lessons learned throughout the implementation period and making recommendations for future enhancements.
Staying Relevant in the Google Age: Implementing Vertical Search at the University of Manchester — a Technological and Cultural perspective
Lorraine Beard,Andy Land
Liber Quarterly : The Journal of European Research Libraries , 2012,
Abstract: John Rylands University Library at the University of Manchester makes a clear commitment to improving resource discovery in its New Directions strategy. In addition an external review of the Library’s systems portfolio identified a clear need to improve the user experience in finding and accessing information. There are also drivers to ensure better utilisation of the Library’s investment in e-resources, as well as the need for the Library to respond to the question of how libraries continue to stay relevant in the Google age. Taking all these factors into account the Library took a strategic decision in 2010 to implement a vertical search solution and it established a formal project to do so in Summer 2010. The project has involved working in close partnership with a number of key stakeholders from the Library, IT Services, multiple vendors and the academic community and is a good example of the changing way in which libraries need to plan and manage their projects in order to improve and deliver services which address the needs of their users. Effective governance, communication, change and project management have been key to the success of this project and highlights the growing importance of these skills in libraries today. The paper will consider the complex technological issues around integrating data from different sources and using different metadata standards. The project has involved vendors working co-operatively together to enable data to move between systems and different metadata formats, which also presents challenges. The cultural issues involved in implementing vertical search will also be discussed, including a shift in the Library’s internal philosophy towards search, the possible impact on the traditional Library catalogue and associated workflows and the changing user perception of the Library in response to vertical search. The project is an excellent case study in new ways of working for libraries, tackling complex technological issues and remaining focussed on improving user experience. The paper will be of interest to other libraries considering or in the process of improving their library’s resource discovery experience.
A New Approach for Flexible Matching of Grid Resources
Mehdi Bayat,Morteza Analoui
World of Computer Science and Information Technology Journal , 2012,
Abstract: Grid environment is an infrastructure in which many heterogeneous resources participate in solving large scale and high computational problems on the internet. Heterogeneity and large number of resources makes resource matching an important issue in the field of grid networks. This paper presents a new approach for grid resource matching. This paper proposes an approach that utilizes ontology to present the semantic relations of the environment and discover the resources that are most relevant to the request. Our method can provide approximate matches if no exact match exists for the given request. The evaluation results show that our method is more effective in resource matching compared with other mechanisms such as UDDI and OWL-S.
Biobank Metaportal to Enhance Collaborative Research: sail.simbioms.org
Maria Krestyaninova,Ola Spjuth,Janna Hastings,J?rn Dietrich
Journal of Systemics, Cybernetics and Informatics , 2012,
Abstract: In order to identify new ways to prevent, diagnose and treat diseases, biobanks systematically collect samples of human tissues and population-wide data on health and lifestyle. Efficient access to population biobank data and to biomaterial is crucial for development and marketing of new pharmaceutical products, especially in the area of personalised medicine. However, such access is hindered by legal and ethical constraints, and by the huge semantic diversity across different biobanks. To address these challenges, we have developed SAIL, a sophisticated metaportal for biobank data annotation across different collections and repositories, harmonised to allow cross-biobank searchability, while preserving the anonymity and privacy of the underlying data such that legal and ethical requirements are met. We describe the technological architecture and design of SAIL that allows us to meet these pressing challenges, and give an overview of the current functionality of the application. SAIL is available online at sail.simbioms.org, and it currently contains around 200 000 samples from 14 collections.
On the Decision Structures and Knowledge Discovery for ANP Modeling  [PDF]
Lawrence W. Lan, Wei-Wen Wu, Yu-Ting Lee
International Journal of Intelligence Science (IJIS) , 2013, DOI: 10.4236/ijis.2013.31A003
This paper proposes an integrative framework for network-structured analytic network process (ANP) modeling. The underlying rationales include: 1) creating the measuring items for the complex decision problems; 2) applying factor analysis to reduce the complex measuring items into fewer constructs; 3) employing Bayesian network classifier technique to discover the causal directions among constructs; 4) using partial least squares path modeling to test the causal relationships among the items-constructs. The proposed framework is implemented for knowledge discovery to a case of high-tech companies’ enterprise resource planning (ERP) benefits and satisfaction in Hsinchu Science Park,Taiwan. The results show that the proposed framework for ANP modeling can reach a satisfactory level of convergent reliability and validity. Based on the findings, pragmatic implications to the ERP venders are discussed. This study has shed new light on the long neglected, yet critical, issue on decision structures and knowledge discovery for ANP modeling.
The Grid Resource Discovery Method Based on Hierarchical Model
Yulan Yin,Huanqing Cui,Xin Chen
Information Technology Journal , 2007,
Abstract: Grid is considered as next generation network and resource discovery is a basic component of Grid resource management. This study presents a hierarchical resource discovery method to make use of attractive features of lumped and exhaustive methods. In this study, the resources in Grid are setup in a 3-layer resource organizational model including Physical Network Layer, Resource Information Layer and Index Information Layer. A resource discovery method based on the above hierarchical model is provided. The simulation result proves that the method discussed is of fine extensibility and performance. Furthermore, it can discover a required resource concurrently to improve the efficiency.
Search Engines and Resource Discovery on the Web: Is Dublin Core an Impact Factor?
Mehdi Safari
Webology , 2005,
Abstract: This study evaluates the effectiveness of the Dublin Core metadata elements on the retrieval of web pages in a suite of six search engines, AlltheWeb, AltaVista, Google, Excite, Lycos, and WebCrawler. The effectiveness of four elements, including title, creator, subject and contributor, that concentrate on resource discovery was experimentally evaluated. Searches were made of the keywords extracted from web pages of the Iranian International Journal of Science, before and after metadata implementation. In each search, the ranking of the first specific reference to the exact web page was recorded. The comparison of results and statistical analysis did not reveal a significant difference between control and experimental groups in the retrieval ranks of the web pages.
An Analytical Comparison of Rough Set Theorybased Grid Resource Matching Algorithms
Mehdi Bayat,Morteza Analoui
World of Computer Science and Information Technology Journal , 2012,
Abstract: Grid environment is an infrastructure in which many heterogeneous resources participate in solving large scale and high computational problems on the internet. Heterogeneity and large number of resources makes resource matching an important issue in the field of grid networks. Recently, rough set theory has been widely considered for efficient resource matching in the literature. In this paper, we analyze and compare three state-of-the-art rough set-based resource matching methods: ROSSE, DRSRD, and CRSRD. These methods are evaluated from the aspects of accuracy and time complexity. The evaluations show ROSSE is fast and has much better performance than DRSRD and CRSRD.
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