Resource discovery in the Grid based on virtual organization

Author(s):  
Lin-na Li
2008 ◽  
Vol 16 (6) ◽  
pp. 704-720 ◽  
Author(s):  
Konstantinos I. Karaoglanoglou ◽  
Helen D. Karatza

Author(s):  
Aizhong Lin ◽  
Erik Vullings ◽  
James Dalziel

This chapter introduces the trust virtual organization as a means of facilitating authentication and authorization for sharing distributed and protected contents and services. It indicates that sharing institutional protected services and deliverables has proven a hurdle since user accounts are created in many sites. It provides an approach to solving this problem using virtual organizations with cross-institutional Single Sign On, with which users use their existing institutional accounts to login. This chapter also presents the challenges of building trust virtual organizations: managing users from distributed identity providers; managing services from distributed service providers; managing trust relationships between users and services, and authorizing the access privileges to users based on the trust relationships. It argues that the trust virtual organization increase the effectiveness of e-learning, e-research and e-business significantly. Furthermore, the authors hope that the trust virtual organization facilitates not only Webbased authentication and authorization, but also grid-based authentication and authorization.


Author(s):  
Ladislav Hluchy ◽  
Ondrej Habala ◽  
Martin Maliska ◽  
Branislav Simo ◽  
Viet Tran ◽  
...  

2011 ◽  
Vol 271-273 ◽  
pp. 340-343
Author(s):  
Lei Chen

To solve the Grid resource discovery framework problem, this paper proposes the resource discovery mechanism based on Peer-to-Peer (P2P). The mechanism introduces the concept of super-node (SN) and virtual organization (VO), which combines both the advantage of decentralized and centralized resource discovery, and makes up a layered resource management model: SN manages user and storages resource information by MDS(Meta Data Service) mechanism in the VO; a P2P virtual level is composed of a large amount of peer service (PS) among VOs, which utilizes the querying and transmitting policy based on historical information and control the diffusion algorithm in resource discovery mechanism. And the simulation shows that the algorithm can find the most suitable resources and improve resource discovery efficiency.


2019 ◽  
Author(s):  
Elvar Jónsson ◽  
Asmus Ougaard Dohn ◽  
Hannes Jonsson

This work describes a general energy functional formulation of a polarizable embedding QM/MM scheme, as well as an implementation where a real-space Grid-based Projector Augmented Wave (GPAW) DFT method is coupled with a potential function for H<sub>2</sub>O based on a Single Center Multipole Expansion (SCME) of the electrostatics, including anisotropic dipole and quadrupole polarizability.


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