Web Service Enhancement Using Web Pre-fetching by Applying Markov Model

Pal, Monti Babulal; Jain, Dinesh Chandra

doi:10.1109/csnt.2014.84

Cited by 2 publications

(1 citation statement)

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“…Due to this, prefetching techniques can be used in order to populate the cache and prevent misses by predicting and caching data that will potentially be requested in the future. It can be based on heuristics, usage observations or even with the use of complex prediction algorithms [15], [32], [58], [59]. However, the design and implementation of a reactive cache component already requires significant effort and reasoning to be properly done, and a proactive approach increases the complexity of the caching solution even more.…”

Section: Discussionmentioning

confidence: 99%

A Qualitative Study of Application-Level Caching

Mertz

Nunes

2017

IIEEE Trans. Software Eng.

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Latency and cost of Internet-based services are encouraging the use of application-level caching to continue satisfying users' demands, and improve the scalability and availability of origin servers. Despite its popularity, this level of caching involves the manual implementation by developers and is typically addressed in an ad-hoc way, given that it depends on specific details of the application. As a result, application-level caching is a time-consuming and error-prone task, becoming a common source of bugs. Furthermore, it forces application developers to reason about a crosscutting concern, which is unrelated to the application business logic. In this paper, we present the results of a qualitative study of how developers handle caching logic in their web applications, which involved the investigation of ten software projects with different characteristics. The study we designed is based on comparative and interactive principles of grounded theory, and the analysis of our data allowed us to extract and understand how developers address cache-related concerns to improve performance and scalability of their web applications. Based on our analysis, we derived guidelines and patterns, which guide developers while designing, implementing and maintaining application-level caching, thus supporting developers in this challenging task that is crucial for enterprise web applications.

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Section: Discussionmentioning

confidence: 99%