Ontology Based Resource Discovery Mechanism for Mobile Grid Environment

2013 ◽  
Author(s):  
S. Stephen Vaithiya ◽  
S. Mary Saira Bhanu
Keyword(s):  
Resource Discovery ◽  
Grid Environment ◽  
Mobile Grid

scholarly journals A Weight-based Query Forwarding Technique for Super-peer-based Grid Resource Discovery

2017 ◽  
Vol 7 (1) ◽  
pp. 1398-1404
Author(s):  
M. Mollamotalebi ◽  
R. Maghami ◽  
A. S. Ismail
Keyword(s):  
Response Time ◽  
Resource Discovery ◽  
Search Process ◽  
Grid Resource ◽  
Grid Environment ◽  
Grid Applications ◽  
Computing Environments ◽  
Grid Resources ◽  
Grid Resource Discovery ◽  
Super Peer

Grid computing environments include heterogeneous resources shared by a large number of computers to handle data and process intensive applications. The required resources must be accessible for the grid applications on demand, which makes resource discovery a critical service. In recent years, different techniques are provided to index and discover grid resources. Response time and message load during the search process highly affect the efficiency of resource discovery. This paper proposes a technique to forward the queries based on the resource types accessible through each neighbor in super-peer-based grid resource discovery approaches. The proposed technique is simulated in GridSim and the experimental results indicated that it is able to reduce the response time and message load during the search process especially when the grid environment contains a large number of nodes.

A Cooperative Cell Model in Computational Mobile Grid

2012 ◽  
Vol 8 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Achal Kaushik ◽  
Deo P. Vidyarthi
Keyword(s):  
Wireless Channels ◽  
Simulation Experiment ◽  
Cell Model ◽  
User Mobility ◽  
Grid Environment ◽  
Mobile Grid ◽  
Efficient Management ◽  
Current Cell ◽  
Proposed Model ◽  
Grid Nodes

Computation in the mobile grid nodes under the cellular network environment requires an efficient management of wireless channels along with the user mobility. Due to random movement of the mobile devices, the load over the cells in terms of initiation of new computation or carryover computation (handoff) may vary dynamically. This may result in non-availability of free channels for Inter-task communication leading in the drop of carryover computation or to initiate the new computation in the current cell. The proposed work designs a model by instigating substantive cooperation among underutilized and the overloaded cells, considering importance to the frequency reuse and assigning priority to the on-going computation in the computational mobile grid. The model seeks cooperation by grouping the cells in different sizes to reduce the blocking and dropping of the computation. Blocking of the communication is very serious in computational mobile grid environment as the drop may result in the termination of the computation. The model aims at minimizing the Call Block Probability (CBP) and Call Drop Probability (CDP) in the mobile grid by making the clusters of different sizes. A simulation experiment to evaluate the performance of the proposed model reveals the effectiveness of this model.

Orchestration and Workflow in a mobile Grid environment

2006 ◽  
Author(s):  
Annalisa Terracina ◽  
Stefano Beco ◽  
Tom Kirkham ◽  
Julian Gallop ◽  
Ian Johnson ◽  
...  
Keyword(s):  
Grid Environment ◽  
Mobile Grid

Construction of Overlay Network in P2P-based Resource Discovery Model in Grid Environment

2005 ◽  
Author(s):  
Xiaoshe Dong ◽  
Xiuqiang He ◽  
Hua Guo ◽  
Wancheng Li ◽  
Xingjun Zhang
Keyword(s):  
Overlay Network ◽  
Resource Discovery ◽  
Grid Environment

scholarly journals Self-adaptive structuring for P2P-based large-scale Grid environment

2016 ◽  
Vol Volume 25 - 2016 - Special... ◽  
Author(s):  
Bassirou Gueye ◽  
Olivier Flauzac ◽  
Cyril Rabat ◽  
Ibrahima Niang
Keyword(s):  
Large Scale ◽  
Virtual Communities ◽  
Resource Discovery ◽  
Nous Proposons ◽  
Grid Environment ◽  
Système D’Information ◽  
Large Scale Grid ◽  
Grid Nodes ◽  
Scale Grid ◽  
Self Adaptive

In this paper, we propose an extension and experimental evaluation of our self-adaptive structuring solution in an large-scale P2P Grid environment. The proposed specification, enables both services deployment, location and invocation of while respecting the P2P networks paradigm. Moreover, the specification is generic i.e. not linked to a particular P2P architecture. The increasing size of resources and users in large-scale distributed systems has lead to a scalability problem. To ensure the scalability, we propose to organize the P2P grid nodes in virtual communities. A particular node called ISP (Information System Proxy) acts as service directory within each cluster. On the other hand, resource discovery is one of the essential challenges in large-scale Grid environment. In this sense, we propose to build a spanning tree which will be constituted by the set of formed ISPs in order to allow an efficient service lookup in the system. An experimental validation, through simulation, shows that our approach ensures a high scalability in terms of clusters distribution and communication cost. Dans cet article, nous proposons une extension et une implémentation de notre solution de structuration auto-adaptative dans un environnement de grilles P2P à large échelle. La spécification que nous avons proposée permet aussi bien le déploiement, la recherche et l’invocation de services tout en respectant le paradigme des réseaux P2P. De plus, elle est générique, c’est-à-dire applicable sur toute architecture pair-à-pair. Pour garantir cette propriété, étant donné que les systèmes distribués à large échelle ont tendance à évoluer en termes de ressources, d’entités et d’utilisateurs, nous proposons de structurer l’environnement de grille pair-à-pair en communautés virtuelles. Au sein de chaque communauté un noeud appelé PSI (Proxys Système d’Information) joue le rôle de registre de services. Afin de permettre une recherche efficace dans le système, un arbre couvrant constitué uniquement des PSI est maintenu. Les résultats de simulations ont montrés que notre solution garantitun passage à l’échelle en termes de dimensionnement du réseau et aussi de coût de recherches.

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