Open AccessHybrid LRU Algorithm for Enterprise Data Hub using Serverless Architecture
Author(s) -
; Murugan
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i4.525
Subject(s) - computer science , cache , scalability , cloud computing , architecture , parameterized complexity , code (set theory) , cache algorithms , distributed computing , queue , operating system , parallel computing , algorithm , cpu cache , computer network , programming language , art , set (abstract data type) , visual arts
In hybrid LRU algorithm was built to execute parameterized priority queue using Least Recently Used model. It helped to determine the object in an optimum mode to remove from cache. Experiment results demonstrated ~30% decrease of the execution time to extract data from cache store during object cache extraction process. In the era of modern utility computing theory, Serverless architecture is the cloud platform concept to hide the server usage from the development community and runs the code on-demand basis. This paper provides Hybrid LRU algorithm by leveraging Serverless Architecture benefits. Eventually, this new technique added few advantages like infrastructure instance scalability, no server management, reduced cost on efficient usage, etc. This paper depicts about the experimental advantage of Hybrid LRU execution time optimization using Serverless architecture.