Implementation and performance evaluation of sentiment analysis web application in cloud computing using IBM Blue mix

2015 ◽  
Author(s):  
Neha Shankar Das ◽  
Mavera Usmani ◽  
Shivani Jain
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Sentiment Analysis ◽  
Web Application ◽  
And Performance

A Comparative Analysis and Performance Evaluation of Web Application Protection Techniques against Injection Attacks

2020 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Abdul Samad Bin Shibghatullah ◽  
Hayder K. Fatlawi ◽  
Salam Kadhim ◽  
Mohammed Falih ◽  
Nabeel Salih Ali ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Comparative Analysis ◽  
Web Application ◽  
Injection Attacks ◽  
And Performance

scholarly journals Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 672
Author(s):  
Quadri Waseem ◽  
Wan Isni Sofiah Wan Din ◽  
Sultan S. Alshamrani ◽  
Abdullah Alharbi ◽  
Amril Nazir
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Quantitative Analysis ◽  
Performance Indicator ◽  
Data Replication ◽  
Future Research ◽  
Dynamic Data ◽  
Advantages And Disadvantages ◽  
Dynamic Data Replication ◽  
And Performance

Data replications effectively replicate the same data to various multiple locations to accomplish the objective of zero loss of information in case of failures without any downtown. Dynamic data replication strategies (providing run time location of replicas) in clouds should optimize the key performance indicator parameters, like response time, reliability, availability, scalability, cost, availability, performance, etc. To fulfill these objectives, various state-of-the-art dynamic data replication strategies has been proposed, based on several criteria and reported in the literature along with advantages and disadvantages. This paper provides a quantitative analysis and performance evaluation of target-oriented replication strategies based on target objectives. In this paper, we will try to find out which target objective is most addressed, which are average addressed, and which are least addressed in target-oriented replication strategies. The paper also includes a detailed discussion about the challenges, issues, and future research directions. This comprehensive analysis and performance evaluation based-work will open a new door for researchers in the field of cloud computing and will be helpful for further development of cloud-based dynamic data replication strategies to develop a technique that will address all attributes (Target Objectives) effectively in one replication strategy.

Results and Discussions of Palm-Dorsa-Veins-Based Systems in the Cloud IoT-Based M-Health Environment

2021 ◽  
pp. 180-210
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Critically Ill ◽  
Health Systems ◽  
Hardware Design ◽  
Identity Verification ◽  
Cloud Computing Environment ◽  
Median Filters ◽  
And Performance ◽  
Hardware Designs

The results of palm-dorsa-veins-based m-health systems in a cloud-computing environment are discussed and analyzed in a detailed way in this chapter of the book. The sample images S1, S2, S3, and S4 are being used for hardware designs and performance evaluation in the cases of re-sampling, segmentation, median filters, thinning and Top veins, which will be used for critically ill and general patients' identity verification in the cloud IoT-based m-health environments. The ModelSim-Altera hardware design language is used as a simulator tool to simulate the hardware design with sample veins images. Further, the ModelSim-Altera simulation outcomes are compared with MATLAB implementations for evaluating the performances of hardware designs of the described algorithms in the cloud IoT-based m-health environment. The outcomes are analyzed, and the details of these outcomes are discussed in this chapter.

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