scholarly journals Pengujian Distribusi Beban Kerja Web Secara Statis pada Sistem Server Web Berbasis Cluster dengan Algoritma Never Queue

2019 ◽  
Vol 2 (3) ◽  
pp. 266
Author(s):  
Nongki Angsar
Keyword(s):  
Response Times ◽  
Web Server ◽  
Web Traffic ◽  
Average Output ◽  
Network Bandwidth ◽  
Server Systems ◽  
The One ◽  
Microprocessor Technology ◽  
Server System ◽  
The Web

The increase in web traffic and the development of network bandwidth that is relatively faster than the development of microprocessor technology today causes the one point server platform to be no longer sufficient to meet the scalability requirements of web server systems. Multiple server platforms are the answer. One known solution is cluster-based web server systems. In this study, a cluster-based web server system would be designed with the Never Queue algorithm and continued with testing the distribution of web workload on this system. The tests were carried out by generating HTTP workloads statically (with fast HTTP requests per fixed second) and dynamically (rapid HTTP requests per second that change or rise regularly) from the client to the web server system pool. Followed by analyzing data package traffic. In this study, the results of static testing with rapid HTTP requests per second which still showed that the Never Queue algorithm distributed HTTP requests to the web server system pool properly and got HTTP replies that tend to be stable at the HTTP average of 1031.8 replies/s. As for the rapid parameters of TCP connections, response times and errors increased with the rapid increasing HTTP requests generated. The average output was at 2,983 Mbps.

scholarly journals Resource Management Scheme Based on Ubiquitous Data Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Heung Ki Lee ◽  
Jaehee Jung ◽  
Gangman Yi
Keyword(s):  
Resource Management ◽  
Process Management ◽  
Web Server ◽  
Main Memory ◽  
Memory Space ◽  
Management Scheme ◽  
Server Systems ◽  
Improved Performance ◽  
Server System ◽  
The Web

Resource management of the main memory and process handler is critical to enhancing the system performance of a web server. Owing to the transaction delay time that affects incoming requests from web clients, web server systems utilize several web processes to anticipate future requests. This procedure is able to decrease the web generation time because there are enough processes to handle the incoming requests from web browsers. However, inefficient process management results in low service quality for the web server system. Proper pregenerated process mechanisms are required for dealing with the clients’ requests. Unfortunately, it is difficult to predict how many requests a web server system is going to receive. If a web server system builds too many web processes, it wastes a considerable amount of memory space, and thus performance is reduced. We propose an adaptive web process manager scheme based on the analysis of web log mining. In the proposed scheme, the number of web processes is controlled through prediction of incoming requests, and accordingly, the web process management scheme consumes the least possible web transaction resources. In experiments, real web trace data were used to prove the improved performance of the proposed scheme.

scholarly journals Distributed proxy cache replacement algorithm to improve web server performance

2019 ◽  
Vol 8 (1) ◽  
pp. 1-5
Author(s):  
Marvin Chandra Wijaya
Keyword(s):  
Web Server ◽  
Internet Usage ◽  
Cache Replacement ◽  
Proxy Server ◽  
Proxy Cache ◽  
Replacement Algorithm ◽  
Web Server Performance ◽  
Server System ◽  
The Web

The performance of web processing needs to increase to meet the growth of internet usage, one of which is by using cache on the web proxy server. This study examines the implementation of the proxy cache replacement algorithm to increase cache hits in the proxy server. The study was conducted by creating a clustered or distributed web server system using eight web server nodes. The system was able to provide increased latency by 90 % better and increased throughput of 5.33 times better.

scholarly journals A Python-WSGI and PHP-Apache Web Server Performance Analysis by Search Page Generator (SPG)

2021 ◽  
Vol 5 (1) ◽  
pp. 132-138
Author(s):  
Hataw Jalal Mohammed ◽  
Kamaran Hama Ali Faraj
Keyword(s):  
Computer Architecture ◽  
Source Code ◽  
Web Server ◽  
The Other ◽  
Web Database ◽  
Web Servers ◽  
Web Technologies ◽  
Server Side ◽  
The One ◽  
The Web

The web servers (WSGI-Python) and (PHP-Apache) are in middleware tier architecture. Middleware architecture is between frontend tier and backend tier, otherwise it’s a connection between frontend tier and backend tier for three tier architecture. The ELearning systems are designed by two different dynamic web technologies. First is by Python-WSGI and the second is by Personal Home Page (PHP-Apache). The two websites were designed with different open source and cross platform web technologies programming language namely; Python and PHP in the same structure and weight will evaluate perform over two different operating systems (OSs): 1) Windows-16 and 2) Linux-Ubuntu 20.4. Both systems run over the same computer architecture (64bit) as a server side with a common backend MySQL web database for both of them. Nevertheless, the middleware for PHP is a cross Apache MySQL PHP Perl (XAMPP), but the middleware for Python is Pycharm and the web server gateway interface (WSGI). WSGI and Apache are both web servers and this paper will show which of them has a better response time (RT). On the one hand, the experimental results demonstrate that the Python-WSGI is even weightier in Mbyte than PHP-Apache, on the other hand Python is still faster and more accurate than PHP. The designed SPG is by handwriting codes: one time designed the SPG by PHP source code and the other time designed by Python source code. Both Python-WSGI and PHP-Apache results are targeted to compare by the least time in milliseconds and take in to account enhanced performance.

scholarly journals MMseqs2 desktop and local web server app for fast, interactive sequence searches

2018 ◽  
Author(s):  
Milot Mirdita ◽  
Martin Steinegger ◽  
Johannes Söding
Keyword(s):  
Protein Sequence ◽  
Response Times ◽  
Source Code ◽  
Web Server ◽  
Link Type ◽  
Server Application ◽  
The Web

SummaryThe MMseqs2 desktop and web server app facilitates interactive sequence searches through custom protein sequence and profile databases on personal workstations. By eliminating MMseqs2’s runtime overhead, we reduced response times to a few seconds at sensitivities close to BLAST.Availability and implementationThe app is easy to install for non-experts. Source code, prebuilt desktop app packages for Windows, macOS and Linux, Docker images for the web server application, and a demo web server are available at https://[email protected] or [email protected]

Object Grouping and Replication on a Distributed Web Server System

2009 ◽  
pp. 158-173
Author(s):  
Amjad Mahmood ◽  
Taher S.K. Homeed
Keyword(s):  
Web Server ◽  
Single Session ◽  
Distributed Object ◽  
Web Objects ◽  
Web Contents ◽  
Local Access ◽  
Access Patterns ◽  
Server System ◽  
The Web ◽  
Object Replication

Object replication is a well-known technique to improve performance of a distributed Web server system. This paper first presents an algorithm to group correlated Web objects that are most likely to be requested by a given client in a single session so that they can be replicated together, preferably, on the same server. A centralized object replication algorithm is then proposed to replicate the object groups to a cluster of Web-server system in order to minimize the user perceived latency subject to certain constraints. Due to dynamic nature of the Web contents and users’ access patterns, a distributed object replication algorithm is also proposed where each site locally replicates the object groups based on the local access patterns. The performance of the proposed algorithms is compared with three well-known algorithms and the results are reported. The results demonstrate the superiority of the proposed algorithms.

Load Balancing in the Parallel Queueing Web Server System

2011 ◽  
Vol 143-144 ◽  
pp. 346-349
Author(s):  
Li Na Zhang ◽  
Xue Si Ma
Keyword(s):  
Load Balancing ◽  
Web Server ◽  
Rejection Rate ◽  
Traffic Load ◽  
Web Traffic ◽  
Web Servers ◽  
Routing Policies ◽  
Load Balancer ◽  
Use Of Internet ◽  
Server System

With the explosive use of internet, contemporary web servers are susceptible to overloads during which their services deteriorate drastically and often lead to denial of services. Many companies are trying to address this problem using multiple web servers with a front-end load balancer. Load balancing has been found to provide an effective and scalable way of managing the ever-increasing web traffic. Load balancing is one of the central problems that have to be solved in parallel queueing web server system. To analyze load balancing this paper presents a queueing system that has two web servers. Firstly the centralized load balancing system is considered. The next, two routing policies are studied, the average response time and the rejection rate are derived. Finally some of our results are further considered.

scholarly journals Analisis Perbandingan Unjuk Kerja Sistem Penyeimbang Beban Web Server dengan HAProxy dan Pound Links

2013 ◽  
Vol 1 (2) ◽  
pp. 28
Author(s):  
Dite Ardian ◽  
Adian Fatchur Rochim ◽  
Eko Didik Widianto
Keyword(s):  
Load Balancing ◽  
Web Server ◽  
Internet Technology ◽  
Traffic Load ◽  
The Internet ◽  
Final Project ◽  
Set Up ◽  
Web Server Performance ◽  
Server System ◽  
The Web

The development of internet technology has many organizations that expanded service website. Initially used single web server that is accessible to everyone through the Internet, but when the number of users that access the web server is very much the traffic load to the web server and the web server anyway. It is necessary for the optimization of web servers to cope with the overload received by the web server when traffic is high. Methodology of this final project research include the study of literature, system design, and testing of the system. Methods from the literature reference books related as well as from several sources the internet. The design of this thesis uses Haproxy and Pound Links as a load balancing web server. The end of this reaserch is testing the network system, where the system will be tested this stage so as to create a web server system that is reliable and safe. The result is a web server system that can be accessed by many user simultaneously rapidly as load balancing Haproxy and Pound Links system which is set up as front-end web server performance so as to create a web server that has performance and high availability.

Dispatcher Based Dynamic Load Balancing on Web Server System

2012 ◽  
Vol 1 (2) ◽  
pp. 15-27
Author(s):  
Harikesh Singh ◽  
Shishir Kumar
Keyword(s):  
Load Balancing ◽  
High Speed ◽  
Low Cost ◽  
Web Server ◽  
High Availability ◽  
Dynamic Load Balancing ◽  
Computing Power ◽  
High Speed Networks ◽  
Server Systems ◽  
Server System

The traffic increasing in the network creates bulk congestion while the bulk transfer of data evolves. Performance evaluation and high availability of servers are important factors to resolve this problem using various cluster based systems. There are several low-cost servers using the load sharing cluster system which are connected to high speed networks, and apply load balancing technique between servers. It offers high computing power and high availability. A distributed website server can provide scalability and flexibility to manage with emergent client demands. Efficiency of a replicated web server system will depend on the way of distributed incoming requests among these replicas. A distributed Web-server architectures schedule client requests among the multiple server nodes in a user-transparent way that affects the scalability and availability. The aim of this paper is the development of a load balancing techniques on distributed Web-server systems.

scholarly journals MMseqs2 desktop and local web server app for fast, interactive sequence searches

2019 ◽  
Vol 35 (16) ◽  
pp. 2856-2858 ◽  
Author(s):  
Milot Mirdita ◽  
Martin Steinegger ◽  
Johannes Söding
Keyword(s):  
Protein Sequence ◽  
Response Times ◽  
Web Server ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Server Application ◽  
The Web

Abstract Summary The MMseqs2 desktop and web server app facilitates interactive sequence searches through custom protein sequence and profile databases on personal workstations. By eliminating MMseqs2’s runtime overhead, we reduced response times to a few seconds at sensitivities close to BLAST. Availability and implementation The app is easy to install for non-experts. GPLv3-licensed code, pre-built desktop app packages for Windows, MacOS and Linux, Docker images for the web server application and a demo web server are available at https://search.mmseqs.com. Supplementary information Supplementary data are available at Bioinformatics online.

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