Soap serialization effect on communication nodes and protocols
Ali Baba Dauda, Mohammed Sani Adam, Muhammad Ahmad Mustapha, Audu Musa, Mabu, Suleiman Mustafa

TL;DR
This paper investigates how SOAP serialization affects communication efficiency by analyzing response times and resource overhead in web services over HTTP and JMS, providing insights for resource management in edge computing.
Contribution
It offers a comparative analysis of serialized versus unserialized SOAP messages on system performance, highlighting trade-offs in resource utilization and response times.
Findings
Serialized messages increase response time and overhead.
HTTP and JMS protocols exhibit different resource consumption patterns.
Insights aid in optimizing message formats for resource-constrained environments.
Abstract
Although serialization improves the transmission of data through utilization of bandwidth, but its impact at the communication systems is not fully accounted. This research used Simple Object Access Protocol (SOAP) Web services to exchange serialized and normal messages via Hypertext Transfer Protocol (HTTP) and Java Messaging System (JMS). We implemented two web services as server and client endpoints and transmitted SOAP messages as payload. We analyzed the effect of unserialized and serialized messages on the computing resources based on the response time and overhead at both server and client endpoints. The analysis identified the reasons for high response time and causes for overhead. We provided some insights on the resources utilization and trade-offs when choosing messaging format or transmission protocol. This study is vital in resource management in edge computing and data…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Service-Oriented Architecture and Web Services · Cloud Computing and Resource Management
