Affiliation:
1. IGNOU, New Delhi, India
Abstract
Segregating the web page content into logical chunks is one of the popular techniques for modular organization of web page. While chunk-based approach works well for public web scenarios, in case of mobile-first personalization cases, chunking strategy would not be as effective for performance optimization due to dynamic nature of the Web content and due to the nature of content granularity. In this paper, the authors propose a novel framework Micro chunk based Web Delivery Framework which proposes and uses a novel concept of “micro chunk”. The micro chunk based Web Delivery framework aims to address the performance challenges posed by regular chunk in a personalized web scenario. The authors will look at the methods for creating micro chunk and they will discuss the advantages of micro chunk when compared to a regular chunk for a personalized mobile web scenario. They have created a prototype application implementing the Micro chunk based Web Delivery Framework and benchmarked it against a regular personalized web application to quantify the performance improvements achieved by micro chunk design.
Reference29 articles.
1. Keyword-based fragement detection for dynamic web content delivery
2. Bruck, P.A., Motiwalla, L., & Foerster, F. (2012). Mobile learning with micro-content: a framework and evaluation. In Proceedings of the 25th Bled eConferencee Dependability: Reliable and Trustworthy eStructures, eProcesses, eOperations and eServices for the Future Bled eConference (pp. 17-20).
3. View Invalidation for Dynamic Content Caching in Multi-tiered Architectures.;K. S.Candan;Proceedings of VLDB ’20.,2002
4. Active Cache: Caching Dynamic Contents on the Web
5. A fragment-based approach for efficiently creating dynamic web content
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