Resource Sharing Campus Grid Platform Based on Load Balancing and Open Grid Service Architecture

2010 ◽  
Vol 143-144 ◽  
pp. 467-471
Author(s):  
Shu Yan
Keyword(s):  
Data Integration ◽  
Resource Sharing ◽  
Campus Network ◽  
Grid Data ◽  
Distributed Resources ◽  
Service Architecture ◽  
Grid Middleware ◽  
Extended Campus ◽  
Middleware Technology ◽  
Open Grid Service Architecture

In order to share distributed resources in the campus network and save relevant cost, This paper presents an extended campus services, data integration middleware grid middleware, grid data integration gives the campus a key middleware technology and architecture, and discusses the integration of grid middleware architecture of the campus's role and how grid services and other interactive components to complete the application request

Intelligent Job Service Scheduling Scheme in Campus Grids

2010 ◽  
Vol 143-144 ◽  
pp. 462-466
Author(s):  
Shu Yan
Keyword(s):  
Heterogeneous Computing ◽  
Job Scheduling ◽  
Grid Service ◽  
Current Status ◽  
Campus Network ◽  
Service Architecture ◽  
Information Platform ◽  
Scheduling Scheme ◽  
Scheduling Model ◽  
Open Grid Service Architecture

Campus grid is to use grid technology, the existing campus network, distributed, heterogeneous computing resources and information resources to the virtual integrated together to form a pool of available computing resources and can provide information platform for users to query information. This paper presents job scheduling model based on open grid service architecture by analyzing the current status of campus network and grid technologies. The simulation results show that the models are feasibility and validity.

Towards an Architecture for the Mobile Grid (Architektur für ein Mobiles Grid)

2005 ◽  
Vol 47 (6) ◽  
Author(s):  
Stefan Wesner
Keyword(s):  
User Authentication ◽  
Service Level ◽  
Next Generation ◽  
Service Architecture ◽  
Mobile Grid ◽  
Additional Information ◽  
Grid Middleware ◽  
Open Grid Service Architecture ◽  
Definition Of ◽  
Infrastructure Services

SummaryMobility is becoming a central aspect of everyday life and must not be ignored by the ongoing efforts in defining the Next Generation Grid architectures. Currently existing network agnostic Grid middleware solutions are duplicating functionality available from lower layers and cannot benefit from a richer set of additional information available such as the user or device context. In this article we will motivate why an integration of the infrastructure services built for supporting mobile users can be beneficial for the realization of a Next Generation Grid. Starting from a definition of the term Mobile Grid it is shown how new kind of adaptive applications can be realized and how the major obstacles for the wide take up of Grid solutions can be addressed. In particular how grid solutions can benefit from user authentication models, cross-organizational accounting, auditing and billing are covered. Beside the opportunities of this integration several new challenges in particular related to workflows and the management of Service Level Agreements will be outlined. This so called Cross-Layer Cooperation is seen as one of the major differences to other Next Generation Grids based on the Open Grid Service Architecture (OGSA) [10] approach. In the next section considerations related to deployment of Mobile Grids and why the approach outlined in the OGSA architecture to model grids as the composition of individual services is not adequate for this are presented.

Design and Application of Rapid Manufacturing Domain Ontology to Support Resource Sharing

2013 ◽  
Vol 670 ◽  
pp. 57-64
Author(s):  
D. Wu ◽  
Q.X. Hu ◽  
Y. Yao
Keyword(s):  
Resource Sharing ◽  
Information Access ◽  
Domain Ontology ◽  
Rapid Manufacturing ◽  
Service Description ◽  
Distributed Resources ◽  
Intelligence Services ◽  
Representation Method ◽  
The Many ◽  
Support Resource

Facing the abundant service resources, how to make the heterogeneous distributed resources information system has the meaning that can be understand between man-machine and machines, search conveniently and implement the resources integration, achieve information access and query better as well as the interoperability between systems, it is a challenge it faces which implementing the resources sharing and intelligence services, but also a problem which to improve the service informatization level for RM industries to be solved. To facility services resource sharing in Rapid Manufacturing (RM) industry, mainly discussed demand analysis and establishment principle of RM domain ontology. Based on the many years of experience and enterprise instances, domain ontology was described conceptual and expressed knowledgeable and model structure was established. The knowledge representation method is adopted based on the domain ontology query model and partial examples of service description are given. In order to solve semantic fuzziness and realize integration, interoperability and reusability of enterprise service by building domain ontology which can satisfy shared understanding of interested parties. On this basis, integrated service system architecture was designed to support resource sharing. The methods had been applied preliminarily and would provide the basis for the future work and extended field.

scholarly journals Empirical Bayesian network to improve service delivery and performance dependability on a campus network

2021 ◽  
Vol 10 (3) ◽  
pp. 623
Author(s):  
Arnold Adimabua Ojugo ◽  
Andrew Okonji Eboka
Keyword(s):  
Bayesian Network ◽  
Resource Sharing ◽  
Network Performance ◽  
Campus Network ◽  
Network Infrastructure ◽  
Test Application ◽  
Packet Tracer ◽  
Time Test ◽  
Riverbed Modeler ◽  
And Performance

An effective systemic approach to task will lead to efficient communication and resource sharing within a network. This has become imperative as it aids alternative delivery. With communication properly etched into the fabrics of today’s society via effective integration of informatics and communication technology, the constant upgrades to existing network infrastructure are only a start to meeting with the ever-increasing challenges. There are various criteria responsible for network performance, scalability, and resilience. To ensure best practices, we analyze the network and select parameters required to improve performance irrespective of bottlenecks, potentials, and expansion capabilities of the network infrastructure. Study compute feats via Bayesian network design alongside upgrades implementation to result in a prototype design, capable of addressing users need(s). Thus, to ensure functionality, the experimental network uses known simulation kits such as riverbed modeler edition 17.5 and cisco packet tracer 6.0.1-to conduct standardized tests such as throughput test, application response-time test, and availability test.

scholarly journals Global Grids and Package Toolkits at 4 Grid Middleware Technologies

2019 ◽  
Vol 8 (6) ◽  
pp. 1469-1476
Keyword(s):  
Resource Sharing ◽  
Academic Research ◽  
Scientific Instruments ◽  
Research Projects ◽  
Access To Resources ◽  
Implementation Model ◽  
Grid Middleware ◽  
Grid Applications ◽  
Grid Operation ◽  
Computer Resources

Grid is an infrastructure that involves the integrated and collaborative use of computers, networks, databases and scientific instruments owned and managed by many organizations. Grid applications often involve large amounts of data and/or computer resources that require a secure resource sharing throughout the organization. This makes grid operation and deployment a complex undertaking. Grid middleware provides users with seamless computer skills and uniform access to resources in the heterogeneous grid. A number of toolkits and systems have been developed, most of which are the result of academic research projects worldwide. This chapter focuses on four of these intermediaries: UNICORE, Globus, Legion and Grid bus. It also presents our implementation of a UNICORE resource broker because it did not support this functionality. A comparison of these systems is included based on the architecture, the implementation model and a number of other functions.

Green Economic and Secure Libraries on Cloud

2016 ◽  
pp. 945-963
Author(s):  
Kalpana T.M. ◽  
S. Gopalakrishnan
Keyword(s):  
Resource Sharing ◽  
Cloud Storage ◽  
Service Providers ◽  
Data Retrieval ◽  
Service Architecture ◽  
Security Issues ◽  
Green Production ◽  
Electronic Dissemination ◽  
Library Resources ◽  
Information And Communication

Libraries are considered storehouses of knowledge in the form of books and other resources. Introduction of computers and information and communication technology paved the way for resources in electronic format. Hence, storage of library resources is categorized in two ways namely physical storage and electronic storage. The advantages of e-format are multiple users, increasing availability of free resource, sharing, storing, accessibility, retrieval, flexibility, compatibility, and so forth. As an evolutionary change in adapting to the electronic dissemination, electronic data can be stored virtually, externally, and retrieved in cloud computing. For cloud storage users, service providers and tools are considered as major components of the service architecture. Tool connects cloud storage server and thin client platform through the Internet. Green computing and green production technology are utilizing minimum resources and maximum production in an eco-friendly way. Data warehousing is collection of data, categorizing, filtering, eliminating replica data, format compatibility; security of data retrieval gives economic storage of files. Warehoused data with extract, transform, and load (ETL) tools are retrieved by data mining. This chapter discusses various architecture, service providers, models of service, certifications, billing models, security issues, solutions to security issues and eco-friendly economic storage.

Theories and Models

2011 ◽  
pp. 260-274
Author(s):  
Sree Nilakanta ◽  
L. L. Miller ◽  
Dan Zhu
Keyword(s):  
Decision Making ◽  
Data Access ◽  
Grid Service ◽  
Data Sets ◽  
Service Architecture ◽  
Continuous Point ◽  
Open Grid Service Architecture ◽  
Point Of Reference

This chapter is about conceptualizing the applicability of grid related technologies for supporting intelligence in decision-making. It aims to discuss how the open grid service architecture—data, access integration (OGSA-DAI) can facilitate the discovery of and controlled access to vast data-sets, to assist intelligence in decision making. Trust is also identified as one of the main challenges for intelligence in decision-making. On this basis, the implications and challenges of using grid technologies to serve this purpose are also discussed. To further the explanation of the concepts and practices associated with the process of intelligence in decision-making using grid technologies, a minicase is employed incorporating a scenario. That is to say, “Synergy Financial Solutions Ltd” is presented as the minicase, so as to provide the reader with a central and continuous point of reference.

Using Grid for Data Sharing to Support Intelligence in Decision Making

2007 ◽  
pp. 179-201 ◽  
Author(s):  
N. Bessis ◽  
T. French ◽  
M. Burakova-Lorgnier ◽  
W. Huang
Keyword(s):  
Decision Making ◽  
Data Sharing ◽  
Data Access ◽  
Grid Service ◽  
Data Sets ◽  
Service Architecture ◽  
Continuous Point ◽  
Open Grid Service Architecture ◽  
Point Of Reference

This chapter is about conceptualizing the applicability of grid related technologies for supporting intelligence in decision-making. It aims to discuss how the open grid service architecture—data, access integration (OGSA-DAI) can facilitate the discovery of and controlled access to vast data-sets, to assist intelligence in decision making. Trust is also identified as one of the main challenges for intelligence in decision-making. On this basis, the implications and challenges of using grid technologies to serve this purpose are also discussed. To further the explanation of the concepts and practices associated with the process of intelligence in decision-making using grid technologies, a minicase is employed incorporating a scenario. That is to say, “Synergy Financial Solutions Ltd” is presented as the minicase, so as to provide the reader with a central and continuous point of reference.

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