 A novel mechanism for intelligent forwarding in cloud environment using network traffic flows classificationR. Deebalakshmi, R. Thilagavathy and Meenakshi Sankaran International Journal of Services, Economics and Management, 2025, vol. 16, issue 4/5, 463-481 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. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:injsem:v:16:y:2025:i:4/5:p:463-481 Access Statistics for this article More articles in International Journal of Services, Economics and Management from Inderscience Enterprises Ltd |
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