Performance optimisation of web applications using In-memory caching and asynchronous job queues

Prakash, Shamsher; Kovoor, Binsu C.

doi:10.1109/inventive.2016.7830234

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…The most commonly used strategies are: read-only, read/write, unsigned read/write. We should also mention the possibility of caching serialized data [18], [19], [27], in which not the raw data object is cached, but its serialized version.…”

Section: Methods 21 Used Caching Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…One of the key approaches for optimizing web application performance and accelerating data access at the DBMS level is caching, which allows saving frequently requested data or operation results to avoid reexecuting costly queries or computations [17]- [19]. The use of data caching can reduce data access time, reduce resource load and improve scalability to handle more user requests [19]- [23], which is especially relevant in the context of multi-user web applications. While caching at the application level itself it involves the use of caching mechanisms provided by the programming language or framework [17], the implementation of caching at the DBMS level utilizes its tools for storing and maintaining frequently requested data [18].…”

Section: Introductionmentioning

confidence: 99%

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Improving web-oriented information systems efficiency using Redis caching mechanisms

Privalov,

Stupina

2024

IJEECS

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The responsiveness of a web application with minimum latency time and maximum web pages loading speed is determined by its overall performance. When dealing with a large number of users and amount of data, the performance of web applications is significantly affected by ways of data processing, storage and access. This paper identifies the significance of data caching process to speed up access to relational database. The study examines approaches to improve the performance of web applications through the joint use of MySQL relational database management system (DBMS) and Redis NoSQL DBMS. The practical part of the study presents a description of a web application built based on Java and Spring Boot framework. The paper proposes the implementation of the caching strategies that take into account the principles of aspect-oriented programming. Made experiments on performance testing of the developed web application with and without caching are presented. The presented results of the study allowed us to conclude that it is possible to improve the performance of web applications by the optimal use of caching strategies when performing database queries.

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Section: Methods 21 Used Caching Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving web-oriented information systems efficiency using Redis caching mechanisms

Privalov,

Stupina

2024

IJEECS

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“…Besides HR and BHR, latency saving ratio (LSR) was used to validate caching strategies performance (Ali et al , 2011) or in other references called delay saving ratio (Podlipnig and Böszörmenyi, 2003). LSR calculates the download time of content served by the cache compared to the total download time needed to display Web content to the client.…”

Section: Performance Measuresmentioning

confidence: 99%

“…LSR calculates the download time of content served by the cache compared to the total download time needed to display Web content to the client. However, because content download time is influenced by other variables such as bandwidth capacity and network topology used, LSR is rarely used to measure caching system performance (Podlipnig and Böszörmenyi, 2003). Research on caching strategies, especially at ALC, calculates throughput to measure performance (Li et al , 2017).…”

Section: Performance Measuresmentioning

confidence: 99%

Caching strategy for Web application – a systematic literature review

Zulfa

Hartanto

Permanasari

2020

IJWIS

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Purpose Internet users and Web-based applications continue to grow every day. The response time on a Web application really determines the convenience of its users. Caching Web content is one strategy that can be used to speed up response time. This strategy is divided into three main techniques, namely, Web caching, Web prefetching and application-level caching. The purpose of this paper is to put forward a literature review of caching strategy research that can be used in Web-based applications. Design/methodology/approach The methods used in this paper were as follows: determined the review method, conducted a review process, pros and cons analysis and explained conclusions. The review method is carried out by searching literature from leading journals and conferences. The first search process starts by determining keywords related to caching strategies. To limit the latest literature in accordance with current developments in website technology, search results are limited to the past 10 years, in English only and related to computer science only. Findings Note in advance that Web caching and Web prefetching are slightly overlapping techniques because they have the same goal of reducing latency on the user’s side. But actually, the two techniques are motivated by different basic mechanisms. Web caching uses the basic mechanism of cache replacement or the algorithm to change cache objects in memory when the cache capacity is full, whereas Web prefetching uses the basic mechanism of predicting cache objects that can be accessed in the future. This paper also contributes practical guidelines for choosing the appropriate caching strategy for Web-based applications. Originality/value This paper conducts a state-of-the art review of caching strategies that can be used in Web applications. Exclusively, this paper presents taxonomy, pros and cons of selected research and discusses data sets that are often used in caching strategy research. This paper also provides another contribution, namely, practical instructions for Web developers to decide the caching strategy.

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Reducing Web-Latency in Cloud Operating Systems to Simplify User Transitions to the Cloud

Gassmann,

Alam

2022

Lecture Notes in Networks and Systems

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Performance optimisation of web applications using In-memory caching and asynchronous job queues

Cited by 6 publications

References 10 publications

Improving web-oriented information systems efficiency using Redis caching mechanisms

Improving web-oriented information systems efficiency using Redis caching mechanisms

Caching strategy for Web application – a systematic literature review

Reducing Web-Latency in Cloud Operating Systems to Simplify User Transitions to the Cloud

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