Slicenet: a Simple and Scalable Flow-Level Simulator for Network Slice Provisioning and Management
Viswanath KumarSkandPriya (1), Abdulhalim Dandoush (1, 2), Gladys, Diaz (3) ((1) Esme research lab, Campus Paris Sud, France, (2) University of, Doha for Science, Technology, Doha, Qatar, (3) Universite Sorbonne Paris, Nord - L2TI, 93430 Villateneuse, France)

TL;DR
Slicenet is a scalable, flow-level simulation tool designed for end-to-end network slice provisioning and management in 5G/6G networks, enabling detailed experimentation without physical infrastructure.
Contribution
It introduces Slicenet, a simple and scalable simulator for E2E network slicing, supporting resource allocation, function placement, and policy testing at large scale.
Findings
Enables reproducible network slicing experiments
Supports visualization of simulation results
Facilitates resource optimization and QoS assessment
Abstract
Network slicing plays a crucial role in the progression of 5G and beyond, facilitating dedicated logical networks to meet diverse and specific service requirements. The principle of End-to-End (E2E) slice includes not only a service chain of physical or virtual functions for the radio and core of 5G/6G networks but also the full path to the application servers that might be running at some edge computing or at central cloud. Nonetheless, the development and optimization of E2E network slice management systems necessitate a reliable simulation tool for evaluating different aspects at large-scale network topologies such as resource allocation and function placement models. This paper introduces Slicenet, a mininetlike simulator crafted for E2E network slicing experimentation at the flow level. Slicenet aims at facilitating the investigation of a wide range of slice optimization…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Software System Performance and Reliability · IoT and Edge/Fog Computing
