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Using caching and optimization techniques to improve performance of the Ensembl website

Anne Parker, Eugene Bragin, Simon Brent, Bethan Pritchard, James A Smith, Stephen Trevanion
2010 BMC Bioinformatics  
We then evaluated the performance of the existing site using browser-based tools and Apache benchmarking, and selected appropriate technologies to overcome any issues found.  ...  Solutions included optimization of the Apache web server, introduction of caching technologies and widespread implementation of AJAX code.  ...  Tim Cutts, David Holland and Jonathan Nicholson for maintenance of the Ensembl website hardware, and Paul Bevan and Jody Clements for assistance with the Sanger Institute web infrastructure.  ... 
doi:10.1186/1471-2105-11-239 pmid:20459812 pmcid:PMC3098060 fatcat:a6nn33cdljaxjgskhquvccyvqi

Automatically Discovering Relevant Images From Web Pages

Erdinc Uzun, Erkan Onzhan, H. Volkan Agun, Tarik Yerlikaya, H. Nusret Bulus
2020 IEEE Access  
Then, we use two popular ensemble methods, Random Forests (RF) [38] and Adoboost [39] , to improve the performance results of the prediction model.  ...  This gain shows us the importance of a feature. D. PERFORMANCE OF MACHINE LEARNING METHODS AND SIMPLE HEURISTIC TECHNIQUES The number of irrelevant images on websites is huge.  ...  He has also been a member of the Board of Directors of the Faculty since 2017. In 2019, he started to work as a director at Çerkezköy Vocational School of his University.  ... 
doi:10.1109/access.2020.3039044 fatcat:kafuqj4owbfazbdef7v4yqtjgu


2022 International Journal of Engineering Technology and Management Sciences  
Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must be improved.  ...  In this study, we developed deep learning-based models to evaluate how the underlying algorithms perform with respect to different performance criteria.  ...  Performance of the model was found to be relatively sensitive to the quality of weather prediction, which suggested the importance of weather prediction techniques.  ... 
doi:10.46647/ijetms.2022.v06i05.043 fatcat:l6vvr546qnf7tfqx5qrlk7wcde

Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection [article]

Abdallah Moubayed and Emad Aqeeli and Abdallah Shami
2020 arXiv   pre-print
Typo-squatting refers to the registration of a domain name that is extremely similar to that of an existing popular brand with the goal of redirecting users to malicious/suspicious websites.  ...  when compared to the model that used the complete feature set) while having a lower computational complexity due to the smaller feature set (a reduction of more than 50% in feature set size).  ...  Moreover, the framework proposes the use of bagging ensemble classification models (that can reduce model variance) to further improve the accuracy of DNS typo-squatting detection.  ... 
arXiv:2006.09272v1 fatcat:r5522kng5zcstlqbng75kwquoq

PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment [article]

Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua Vogelstein, Randal Burns
2020 arXiv   pre-print
The layout interleaves correlated nodes across multiple trees, uses leaf cardinality to collocate the nodes on the most popular paths and is optimized for the I/O blocksize.  ...  We present methods to serialize and deserialize tree ensembles that optimize inference latency when models are not already loaded into memory.  ...  High-performance tree ensembles, XGBoost (Chen & Guestrin, 2016) and LightGBM (Ke et al., 2017) , use many techniques to achieve parallelism and throughput, including model pruning, sampling, and discretization  ... 
arXiv:2011.05383v1 fatcat:suklohptlveffpklgeom5gte7e

Intelligent Web caching using Adaptive Regression Trees, Splines, Random Forests and Tree Net

Sarina Sulaiman, Siti Mariyam Shamsuddin, Ajith Abraham
2011 2011 3rd Conference on Data Mining and Optimization (DMO)  
The experimental results reveal that CART performed extremely well in classifying Web objects from the existing log data and an excellent attribute to consider for an accomplishment of Web cache performance  ...  The aim of this research is to introduce advanced machine learning approaches for Web caching to decide either to cache or not to the cache server, which could be modelled as a classification problem.  ...  Through a simulation environment, using a real data set, CART, MARS, RF and TN can be an effective way in improving the performance of the Web caching environment.  ... 
doi:10.1109/dmo.2011.5976513 fatcat:opw3d3gfhrbwlbrukauczt5hc4

An Enhanced Candidate Transaction Rank Accuracy Algorithm using SVM for Search Engines

G. Srinaganya, J. G. R. Sathiaseelan
2017 Indian Journal of Science and Technology  
The proposed algorithm has seemed to be very fast and could knob very hefty datasets in linear and non-linear classification chores.  ...  A up-to-the-minute augmentation, hilltop technique sloping SVM algorithm with linear or non-linear techniques in the proposition exertion in this article, which aims at classifying very hefty datasets  ...  This has shown to improve the performance of the cache drastically, when the code was profiled subsequently.  ... 
doi:10.17485/ijst/2017/v10i31/104660 fatcat:irsyxlyc5jcajfwjmgdvxgartu

Optimizing Precision for Open-World Website Fingerprinting [article]

Tao Wang
2018 arXiv   pre-print
For this reason, we develop three classes of precision optimizers, based on confidence, distance, and ensemble learning, that can be applied to any classifier to increase precision.  ...  Against a difficult scenario, where the attacker wants to monitor and distinguish 100 sensitive pages each with a low mean base rate of 0.00001, our best optimized classifier can achieve a precision of  ...  Acknowledgments Acknowledgments are scrubbed for the blind review submission.  ... 
arXiv:1802.05409v1 fatcat:ku2xyk53pzgmtgwfvm3oikkvwq

ConfigTron: Tackling network diversity with heterogeneous configurations [article]

Usama Naseer, Theophilus Benson
2019 arXiv   pre-print
We designed ConfigTron a data-driven framework that leverages data from all connections to identify their network characteristics and learn the optimal configuration parameters to improve end-user performance  ...  The web serving protocol stack is constantly changing and evolving to tackle technological shifts in networking infrastructure and website complexity.  ...  and video [4, 45, 56, 80] to improve application-specific performance.  ... 
arXiv:1908.04518v1 fatcat:l7syq3fafbeepbdn7snx7ndkrm

Update rewriting and integrity constraint maintenance in a schema evolution support system

Carlo A. Curino, Hyun Jin Moon, Alin Deutsch, Carlo Zaniolo
2010 Proceedings of the VLDB Endowment  
In this paper, we address this issue by introducing a formal evolution model for the database schema structure and its integrity constraints, and use it to derive update mapping techniques akin to the  ...  rewriting techniques used for queries.  ...  Rewriting time are presented for both the scenario in which we use back-chase to improve the output query quality and the rewriting time when no query optimization is performed.  ... 
doi:10.14778/1921071.1921078 fatcat:hzbitzrp7zcezdt42izapwwf7m

Particle Swarm Optimization-based Feature Weighting for Improving Intelligent Phishing Website Detection

Waleed Ali, Sharaf Malebary
2020 IEEE Access  
and negative rates of the machine learning models using only fewer websites features utilized in the detection of phishing websites.  ...  In this paper, intelligent phishing website detection using particle swarm optimization-based feature weighting is proposed to enhance the detection of phishing websites.  ...  Therefore, a faster and improved version of PSO can be used to speed up the performance of the proposed PSO-based feature weighting.  ... 
doi:10.1109/access.2020.3003569 fatcat:44hjwlfqgvakjn4wbe3rw3lmb4

Configanator: A Data-driven Approach to Improving CDN Performance

Usama Naseer, Theophilus A. Benson
2022 Symposium on Networked Systems Design and Implementation  
As a result of this evolution, web servers can use a plethora of protocols and configuration parameters to address a variety of realistic network conditions.  ...  We designed a data-driven framework, Configanator, that leverages data across connections to identify their network and device characteristics, and learn the optimal configuration parameters to improve  ...  We also thank Janusz Jezowicz from SpeedChecker for granting us access to their platform. This work is supported by NSF grants CNS-1819109, CNS-1814285 and Richard B. Salomon Faculty Research Award.  ... 
dblp:conf/nsdi/NaseerB22 fatcat:tsevbz5575e5nlfeer62qmi3wm

Intelligent web caching using machine learning methods

Sarina Sulaiman, Siti Mariyam Shamsuddin, Ajith Abraham, Shahida Sulaiman
2011 Neural Network World  
Web caching is a technology to improve network traffic on the Internet. It is a temporary storage of Web objects for later retrieval.  ...  The experimental results reveal that CART performed extremely well in classifying Web objects from the existing log data with a size of Web objects as a significant attribute for Web cache performance  ...  To further improve Web performance, reverse caching can make dynamic content to be more cachable and manageable [9] .  ... 
doi:10.14311/nnw.2011.21.025 fatcat:yagb2ocr6bdvvlp3vq7ljzgqeq

Enhanced User-driven Ranking System with Splay Tree

R. Jayashree, A. Christy
2018 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
E-learning is one of the information and communication technology products used for teaching and learning process [35] .  ...  The focus of this research work is to find and enhance low reputed users in reputation system b y providing few more chances to take part actively in the e-learning environment using the splay tree.  ...  Acknowledgment The authors would like to thank StackOverflow for providing the data used in this paper.  ... 
doi:10.12928/telkomnika.v16i2.5875 fatcat:djajdoaf5fdqrnfwshxnspsb5y

Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble

Bayu Adhi Tama, Sun Im, Seungchul Lee
2020 BioMed Research International  
Our detection model has performed better than current existing models based on traditional classifier ensembles and individual classifiers in terms of accuracy, F1, and AUC.  ...  A stacked architecture is designed to blend the class label prediction of three ensemble learners, i.e., random forest, gradient boosting machine, and extreme gradient boosting.  ...  [25] established a new optimization technique called N2Genetic optimizer. The nuSVM was then used to classify the patients having CHD or not.  ... 
doi:10.1155/2020/9816142 pmid:32420387 pmcid:PMC7201579 fatcat:zq5otafs7fhibh3igh23yh2z6y
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