Soft sets based symbiotic organisms search algorithm for resource discovery in cloud computing environment

2017 ◽  
Vol 76 ◽  
pp. 33-50 ◽  
Author(s):  
Absalom E. Ezugwu ◽  
Aderemi O. Adewumi
Keyword(s):  
Cloud Computing ◽  
Search Algorithm ◽  
Resource Discovery ◽  
Computing Environment ◽  
Soft Sets ◽  
Symbiotic Organisms Search ◽  
Cloud Computing Environment ◽  
Symbiotic Organisms

Research on a Resource Discovery Mechanism in Cloud Computing Environment Based on Analysis of Scientific Materials

2011 ◽  
Vol 282-283 ◽  
pp. 433-436
Author(s):  
Hong Wei Zhao
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Resource Discovery ◽  
Computing Environment ◽  
Distribution Method ◽  
Cloud Computing Environment ◽  
Comprehensive Service ◽  
Cloud Computing System ◽  
Service Resource ◽  
Current Loading

Cloud computing technology is an efficient way to resolve the resource sharing and cooperative work in distributed environments. The resource discovery mechanism is a key problem in Cloud computing. In order to implement the quick discovery of service resource and the balanced distribution of resource on the Cloud computing system, a resource discovery mechanism in Cloud computing environment has been designed and implemented. Firstly, a Formula based on each node's loading has been proposed. Secondly, a comprehensive service distribution method has been designed in consideration about each node’s performance and current loading distribution. Finally, the result of the experiment indicates that the discovery mechanism can improve the efficiency of the resource and the utilization ratio of the service resource.

scholarly journals Design of Massive Image Duplicate Search Algorithm in Cloud Computing Environment

2021 ◽  
Vol 2083 (4) ◽  
pp. 042078
Author(s):  
Shunyu Yao
Keyword(s):  
Cloud Computing ◽  
Search Algorithm ◽  
Similarity Criterion ◽  
Image Size ◽  
Cloud Platform ◽  
Computing Environment ◽  
Computing Technology ◽  
Cloud Computing Environment ◽  
Pixel Value ◽  
Binarization Method

Abstract Massive image replay algorithm adopts cloud computing technology to realize image uploading, processing and classification on cloud platform. Image classification is realized by image classifier. Zernike matrix was used to compare the classified images and determine the pseudo-edge blocks around the image. According to the pixel value of the image, the binarization method was used to process the image. After processing, edge detection and line detection were carried out to determine the real image size. The similarity of two real images is calculated by normalized similarity criterion, and the image repetition is judged accordingly. The results show that the accuracy of the algorithm is higher than 99%, and the accuracy of the algorithm is higher than that of the comparison algorithm, and the accuracy of the algorithm is the highest when the similarity threshold is 0.8∽0.9.

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