Toward an aspect-oriented cache autoloading framework with annotation. (4th July 2019)

• Record Type: Journal Article
• Authors: Ma, Kun; Niu, Xuewei; Yu, Ziqiang; Ji, Ke
• Is Part Of: International journal of web and grid services. Volume 15:Number 3(2019)
• Page Start: 304
• Page End: 318
• Publication Date: 2019-07-04
• Subjects: big data -- data cache -- aspect-oriented programming -- AOP -- annotation -- pointcut -- grid services; Web services -- Periodicals; Computational grids (Computer systems) -- Periodicals; 006.78
• Languages: English
• ISSNs: 1741-1106

Abstract

In recent years, researches focus on addressing the query bottleneck issue using data cache in the internet-of-things. However, the challenges of this method are how to implement autonomous management of data cache. In this paper, we propose an aspect-oriented cache autoloading framework with annotation (ACALFA). The architecture, annotation, expression are introduced to address cache autoloading. There are some features for improving performance, such as avoiding cache breakdown and cache penetration using load waiting and autoloading, loose coupling of business and cache logic using AOP, and batch delete of cache. The result of experiments indicated that our method is nearly 25% faster than other cache frameworks in case of high concurrency.