Investigating Factors Influencing the Response Time in ASP.NET Web Applications

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.

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Factors Influencing the Emergency Medical Service Response Time for Cardiovascular Disease in Guangzhou, China

Current Medical Science ◽

10.1007/s11596-019-2061-z ◽

2019 ◽

Vol 39 (3) ◽

pp. 463-471

Author(s):

Xiao-qian Chen ◽

Zi-feng Liu ◽

Shi-kun Zhong ◽

Xing-tang Niu ◽

Yi-xiang Huang ◽

...

Keyword(s):

Cardiovascular Disease ◽

Response Time ◽

Emergency Medical Service ◽

Medical Service ◽

Factors Influencing ◽

Emergency Medical ◽

Service Response Time

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Estimating Response Time Percentiles of Cloud-Based Tiered Web Applications in Presence of VM Failures

2016 12th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA) ◽

10.1109/qosa.2016.12 ◽

2016 ◽

Author(s):

Olivia Das ◽

Arindam Das

Keyword(s):

Response Time ◽

Web Applications

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Factors Influencing the Adaption of Online Pharmacy in Oman: Literature Review (Preprint)

10.2196/preprints.24437 ◽

2020 ◽

Author(s):

Abir Al Sideiri

Keyword(s):

Web Applications ◽

Relevant Literature ◽

Primary Objective ◽

Theoretical Modelling ◽

Online Information ◽

Factors Influencing ◽

Online Pharmacy ◽

Effort Expectancy ◽

Online Pharmacies ◽

The Relationship

BACKGROUND There is low level of adoption and acceptance of online pharmacies in Oman; only very limited Omani Citizens are aware of the existence of online pharmacies and even fewer number of Omanis accessed and bought medicines using online pharmacy systems. Therefore, online pharmacy business is facing great challenge in adaption in Oman; despite many attempts on using web applications that mimic the actual pharmacy operations; such attempts still preliminary and need more theoretical modelling and practical enhancements to trust, reliability, efficacy, and other factors of success. OBJECTIVE the primary objective of the present study is to investigate the factors influencing on the adoption of online pharmacy in Oman. This study carries out under Unified Theory of Acceptance and Usage of Technology – 2 (UTAUT-2) to examine the perception of customers on adapting online pharmacy. METHODS The study has presented extensive review of existing books, journals, reports, newspapers, articles, and reputable online information on the issue at hand. The review of relevant literature is closely linked to UTAUT-2 variables and the adoption of online pharmacy in Oman RESULTS The most important factors such as performance expectancy, effort expectancy, and social influence, facilitating condition, habit, hedonic motivation, and price value were observed their influence on adoption of online pharmacy among Omanis. CONCLUSIONS The study addresses issues relevant in the context that help to examines all variables being investigated. Furthermore, it also focused on the review of related theories that support the relationship among the variables and the utilization of online digital pharmacy in the Oman. Finally, issues of relative importance were also discussed that could help broader the study.

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Caching on the Web

Web Data Management Practices ◽

10.4018/978-1-59904-228-2.ch006 ◽

2007 ◽

pp. 124-158

Author(s):

Mehregan Mahdavi ◽

Boualem Bentallah

Keyword(s):

Response Time ◽

World Wide ◽

Web Applications ◽

Fast Response ◽

Web Caching ◽

Web Portals ◽

Dynamic Data ◽

Dynamic Content ◽

The World ◽

The Web

The World Wide Web provides a means for sharing data and applications among users. However, its performance and in particular providing fast response time is still an issue. Caching is a key technique that addresses some of the performance issues in today’s Web-enabled applications. Deploying dynamic data especially in an emerging class of Web applications, called Web Portals, makes caching even more interesting. In this chapter, we study Web caching techniques with focus on dynamic content. We also discuss the limitations of caching in Web portals and study a solution that addresses these limitations. The solution is based on the collaboration between the portal and its providers.

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Factors Influencing Response Time of Dep Microfluidic Actuation

Micro Total Analysis Systems 2002 ◽

10.1007/978-94-010-0504-3_24 ◽

2002 ◽

pp. 673-675

Author(s):

T. B. Jones ◽

T. Ito ◽

H. Yoo ◽

R. Ahmed

Keyword(s):

Response Time ◽

Factors Influencing ◽

Microfluidic Actuation

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Graph Based Workload Driven Partitioning System by using MongoDB

International Journal of Advances in Applied Sciences ◽

10.11591/ijaas.v7.i1.pp29-37 ◽

2018 ◽

Vol 7 (1) ◽

pp. 29

Author(s):

Arvind Sahu ◽

Swati Ahirrao

Keyword(s):

Response Time ◽

Graph Partitioning ◽

Social Networking Sites ◽

Web Applications ◽

Good Choice ◽

Data Partitioning ◽

Graph Representation ◽

Single Server ◽

Graph Database ◽

Time Data

<p>The web applications and websites of the enterprises are accessed by a huge number of users with the expectation of reliability and high availability. Social networking sites are generating the data exponentially large amount of data. It is a challenging task to store data efficiently. SQL and NoSQL are mostly used to store data. As RDBMS cannot handle the unstructured data and huge volume of data, so NoSQL is better choice for web applications. Graph database is one of the efficient ways to store data in NoSQL. Graph database allows us to store data in the form of relation. In Graph representation each tuple is represented by node and the relationship is represented by edge. But, to handle the exponentially growth of data into a single server might decrease the performance and increases the response time. Data partitioning is a good choice to maintain a moderate performance even the workload increases. There are many data partitioning techniques like Range, Hash and Round robin but they are not efficient for the small transactions that access a less number of tuples. NoSQL data stores provide scalability and availability by using various partitioning methods. To access the Scalability, Graph partitioning is an efficient way that can be easily represent and process that data. To balance the load data are partitioned horizontally and allocate data across the geographical available data stores. If the partitions are not formed properly result becomes expensive distributed transactions in terms of response time. So the partitioning of the tuple should be based on relation. In proposed system, Schism technique is used for partitioning the Graph. Schism is a workload aware graph partitioning technique. After partitioning the related tuples should come into a single partition. The individual node from the graph is mapped to the unique partition. The overall aim of Graph partitioning is to maintain nodes onto different distributed partition so that related data come onto the same cluster.</p>

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Impact of the persistence layer implementation methods on application per-formance

Journal of Computer Sciences Institute ◽

10.35784/jcsi.2067 ◽

2020 ◽

Vol 17 ◽

pp. 326-331

Author(s):

Kamil Siebyła ◽

Maria Skublewska-Paszkowska

Keyword(s):

Response Time ◽

Web Applications ◽

Application Programming Interface ◽

Data Access ◽

Persistence Layer ◽

Application Programming ◽

Different Levels ◽

Programming Interface ◽

The Way

There are various methods for creating web applications. Each of these methods has different levels of performance. This factor is measurable at every level of the application. The performance of the frontend layer depends on the response time from individual endpoint of the used API (Application Programming Interface). The way the data access will be programmed at a specific endpoint, therefore, determines the performance of the entire application. There are many programming methods that are often time-consuming to implement. This article presents a comparison of the available methods of handling the persistence layer in relation to the efficiency of their implementation.

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