Implementation of Grid Resources and Services Based on WSRF

2011 ◽  
Vol 225-226 ◽  
pp. 642-645
Author(s):  
Luo Zhong ◽  
Gan Zuo ◽  
Hua Zhu Song
Keyword(s):  
Web Service ◽  
Standard Protocol ◽  
Resource Model ◽  
Grid Resource ◽  
Service Resource ◽  
Grid Resources ◽  
Implementation Steps

Traditional web service resource hasn't the concept of state and exists many limitations in application. WS-Resource of WSRF solved this problem. This paper elaborated the principal standard protocol specifications in WSRF, analyzed WS-resources characteristics, gave the implementation steps of grid resource and service, and finally validated the superiority of WSRF resource model with an example.

Realistic Modeling of Resources for a Large-Scale Computational Grid System

2012 ◽  
Vol 4 (3) ◽  
pp. 1-29
Author(s):  
Uei-Ren Chen ◽  
Yun-Ching Tang
Keyword(s):  
Large Scale ◽  
Simulated Data ◽  
Computational Grid ◽  
Computing Environment ◽  
Resource Model ◽  
Grid Resource ◽  
Normal Distributions ◽  
Realistic Modeling ◽  
Source Data ◽  
Grid Resources

To build a large-scale computational grid resource model with realistic characteristics, this paper proposes a statistical remedy to approximate the distributions of computational and communicational abilities of resources. After fetching the source data of resources including computing devices and networks from the real world, the gamma and normal distributions are employed to approximate probabilities for the ability distribution of grid resources. With this method, researchers can supply the computational grid simulators with required parameters relating to computational and communicational abilities. The experiment result shows that proposed methodology can lead to a better precision according to the error measurement of the simulated data and its source. The proposed method can support existing modern grid simulators with a high-precision resource model which can consider the characteristics of distribution for its computational and communicational abilities in the grid computing environment.

Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets

2017 ◽  
Vol 26 (1) ◽  
pp. 169-184 ◽  
Author(s):  
Absalom E. Ezugwu ◽  
Nneoma A. Okoroafor ◽  
Seyed M. Buhari ◽  
Marc E. Frincu ◽  
Sahalu B. Junaidu
Keyword(s):  
Genetic Algorithm ◽  
Resource Allocation ◽  
Grid Computing ◽  
Resource Selection ◽  
Computing System ◽  
Population Based ◽  
Fine Tuning ◽  
Grid Resource ◽  
Performance Results ◽  
Grid Resources

AbstractThe operational efficacy of the grid computing system depends mainly on the proper management of grid resources to carry out the various jobs that users send to the grid. The paper explores an alternative way of efficiently searching, matching, and allocating distributed grid resources to jobs in such a way that the resource demand of each grid user job is met. A proposal of resource selection method that is based on the concept of genetic algorithm (GA) using populations based on multisets is made. Furthermore, the paper presents a hybrid GA-based scheduling framework that efficiently searches for the best available resources for user jobs in a typical grid computing environment. For the proposed resource allocation method, additional mechanisms (populations based on multiset and adaptive matching) are introduced into the GA components to enhance their search capability in a large problem space. Empirical study is presented in order to demonstrate the importance of operator improvement on traditional GA. The preliminary performance results show that the proposed introduction of an additional operator fine-tuning is efficient in both speed and accuracy and can keep up with high job arrival rates.

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.

Resource Allocation Mechanism with New Models for Grid Environment

2013 ◽  
Vol 5 (2) ◽  
pp. 1-26
Author(s):  
Kuppani Sathish ◽  
A. Rama Mohan Reddy
Keyword(s):  
Resource Allocation ◽  
Waiting Time ◽  
Vital Role ◽  
Allocation Mechanism ◽  
Grid Resource ◽  
Grid Environment ◽  
Grid Resources ◽  
Utilization Cost ◽  
Resource Allocation Mechanism ◽  
Grid Resource Allocation

Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low utilization, less economic reliability and increased waiting time of the jobs. These problems were occurred because of the inconsiderable level in the code of allocating right resources to right jobs, poor economic model and lack of provision to minimize the waiting time of jobs to get their resources. So, all these drawbacks need to be solved in any upcoming resource allocation technique. Hence in this paper, the efficiency of the resource allocation mechanism is improved by proposing two allocation models. Both the allocation models have used the Genetic Algorithm to overcome all the aforesaid drawbacks. However, one of the allocation models includes penalty function and the other does not consider the economic reliability. Both the models are implemented and experimented with different number of jobs and resources. The proposed models are compared with the conventional resource allocation models in terms of utilization, cost factor, failure rate and make span.

Automatic Classification Method of Web Services in Cloud Environment

2014 ◽  
Vol 543-547 ◽  
pp. 2933-2936
Author(s):  
Jun Rong Li ◽  
Wen Bo Zhou ◽  
Li Wen Mu ◽  
Tong Yu Yin ◽  
Yuan Li Feng
Keyword(s):  
Web Services ◽  
Web Service ◽  
Cloud Service ◽  
Cloud Services ◽  
Classification Method ◽  
Cloud Environment ◽  
Research Topics ◽  
Resource Requirements ◽  
Service Resource ◽  
Service Site

Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.

scholarly journals Web service-based grid resource discovery

2021 ◽  
Author(s):  
Syed Saadat Bokhari
Keyword(s):  
Web Services ◽  
Web Service ◽  
Resource Discovery ◽  
The Internet ◽  
Application Layer ◽  
Grid Resource ◽  
Web Based ◽  
Grid Resource Discovery

This thesis proposes a single and scalable web-based model for grid resource discovery for the Internet. The proposed resource discovery model contains the metadata and resource finder web services. The information of resource finder web services is kept in the repositories that are distributed in the application layer of [sic] Internet. The resource finder web services will be discovered by sending queries to the repositories in a similar way as the DNS protocol. The underlying technology for implementation of the two architectures of this model is introduced.

Presentation Oriented Web Services

2011 ◽  
pp. 835-841
Author(s):  
Jana Polgar
Keyword(s):  
Web Services ◽  
Web Service ◽  
Business Processes ◽  
The Internet ◽  
Standard Protocol ◽  
Service Presentation

Web services introduced the means for integrating and sharing business processes via the Internet. WSRP’s (WSRP specification version 1, 2003) goal is to extend the integration further by providing a framework for sharing Web service presentation components. WSRP specification formulated a standard protocol, which enables all content and application providers to create Web services, generate their presentation faces as HTML fragments, and offer them to the consumers to be plugged into their local portals.

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