An Implementation of a Dynamic Partitioning Scheme for Web Pages
In this paper, we introduce a method for the dynamic partitioning of web pages. The algorithm is first illustrated by manually partitioning a web page, then the implementation of the algorithm using PHP is described. The method results in a partitioned web page consisting of small pieces or fragments which can be retrieved concurrently using AJAX or similar technology. The goal of this research is to increase performance of web page delivery by decreasing the latency of web page retrieval.
Keywords: Web Browser, Partitioning, Performance, PHP, Concurrency.
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ABOUT THE AUTHORS
Timothy Arndt
Timothy Arndt Received a Ph.D. in Computer Science from the University of Pittsburgh. He is currently an Associate Professor of Computer and Information Science at Cleveland State University.
Ben Blake
Ben Blake Received a Ph.D. in Computer Science from the Ohio State University. He is currently an Associate Professor of Computer and Information Science at Cleveland State University..
Brian Krupp
Brian Krupp Received a Master’s Degree in Computer and Information Science from the Cleveland State University. He is currently a Doctoral student in Software Engineering at Cleveland State University and Enterprise Security Architect at Key Bank.
Janche Sang
Janche Sang Received a Ph.D. in Computer Science from Purdue University. He is currently an Associate Professor of Computer and Information Science at Cleveland State University..
Timothy Arndt
Timothy Arndt Received a Ph.D. in Computer Science from the University of Pittsburgh. He is currently an Associate Professor of Computer and Information Science at Cleveland State University.
Ben Blake
Ben Blake Received a Ph.D. in Computer Science from the Ohio State University. He is currently an Associate Professor of Computer and Information Science at Cleveland State University..
Brian Krupp
Brian Krupp Received a Master’s Degree in Computer and Information Science from the Cleveland State University. He is currently a Doctoral student in Software Engineering at Cleveland State University and Enterprise Security Architect at Key Bank.
Janche Sang
Janche Sang Received a Ph.D. in Computer Science from Purdue University. He is currently an Associate Professor of Computer and Information Science at Cleveland State University..
