Title: A novel mechanism for intelligent forwarding in cloud environment using network traffic flows classification

Authors: R. Deebalakshmi; R. Thilagavathy; Meenakshi Sankaran

Addresses: Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology (Deemed to be University), Tiruchirapalli, Tamil Nadu, India ' Department of Computing Technologies, College of Engineering and Technology, School of Computing, SRM Institute of Science and Technology (Deemed to be University), Kattankulathur, Chennai, India ' VIT Business School, Vellore Institute of Technology, Chennai Campus, Chennai, India

Abstract: One of the most efficient environments for collaborative computing has recently emerged as cloud computing. A router is crucial in a cloud system for load distribution and traffic reduction. The primary role of a router in network management, in existing strategy router simply forwards the packet to planned beneficiary. It does not know the significance of package and package count. This reduces the router's productivity while the way is obstructed. Advanced marking approaches and traditional order tactics, which are port-based, provide less precision for arrangement, using the wire shark apparatus to estimate switch activity movement is collected per flow set, and every flow pair is sorted by a structure-upgraded neural system, all sorted traffics are classified application wise, this detail sent to the router for appropriate flow set transmission. This reduces latency, increased throughput, load balancing, and reduced cloud traffic all contribute to a router's increased effectiveness of 97.4% then traditional router.

Keywords: efficient forwarding; cloud computing; classification; traffic monitoring; traffic classes; neural network; fish seminary search.

DOI: 10.1504/IJSEM.2025.148481

International Journal of Services, Economics and Management, 2025 Vol.16 No.4/5, pp.463 - 481

Received: 26 Apr 2023
Accepted: 07 Oct 2023

Published online: 08 Sep 2025 *

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