M2 Internship

Description A 6-month internship opportunity is available at the LIA (Computer Science Lab) of Avignon University, located in the south of France. This internship focuses on a cutting-edge topic in networking: Toward Failure-Resilient Service Function Chaining: Novel Formulation and Heuristic Approach. Context :  The ICT infrastructure is becoming increasingly complex and interdependent due to rapid trends such as virtualization, softwarization, data massification, and cloudification. With the widespread deployment of 5G and the Internet of Things (IoT), fault-tolerant and automated network operations are becoming critically necessary, warranting substantial research efforts. To guarantee the resilience of SFCs in the Beyond 5G core networks against large-scale disaster failures, the most common approach is to deploy redundant instances of each VNF across multiple DCs and to compute both a primary (working) path and a dedicated backup path for each SFC. Nevertheless, the problem of failure-resilient SFC provisioning involves several interrelated network optimization dimensions, including VNF placement optimization, SFC working and backup path computation, and resource allocation for intra- and inter-SFC capacity sharing strategies. Each of these subproblems is known to be NP-hard, making the joint optimization highly challenging. With the increasing importance of optimization in emerging networks—such as data center networks and beyond 5G infrastructures—it is both pressing and necessary to study the effectiveness and performance of such techniques to enhance overall network resiliency. Internship Objective :  To address the above challenges, this internship will focus on designing intelligent Integer Linear Programming (ILP) and or/ Machine learning methods to optimize network resource for Inter-SFC Spare Capacity Sharing. The proposed models and solutions will be evaluated on some classical network topologies through numerical simulations.  Profile We invite applications from Master’s students or final-year engineering students with a strong background in one or more of the following areas: Operations Research and Graph Theory, Artificial Intelligence / Machine Learning, as well as Network Optimization. 2nd year Master student or last year Engeneer student  Operation research, Combinatorial Optimization, AI, Networking Networking Sufficient English Language Level Starting date is flexiable ( ideally from Fevruary to August , but strating not late than the end of February ) Starting date -03-16