Program
Wednesday 9
8h30-9h15 Welcome coffee
9h15 – 9h30 Opening
9h30-10Hh30 Keynote 1: Michel Mandjes
Chair: Bruno Tuffin (Inria)
10h30-11h Coffee break
11h-12h30 Session Scheduling, queuing systems & Resource allocation (3 talks)
Chair: Corinne Touati (Inria)
- Josu Doncel and Mohamad Assaad. Optimizing Age of Information with Attacks
- Dieter Fiems and Balakrishna Prabhu. Strategic Routing in Heterogeneous Discriminatory Processor Sharing Queues
- Lucas Inglés, Olivier Tsemogne and Claudina Rattaro. Radio Resource Allocation in 5G/B5G Networks: A Dimension Reduction Approach using Markov Decision Processes
12h30-14h Lunch
14h – 15h30 Session Modeling & Performance (3 talks)
Chair: Balakrishna Prabhu (CNRS)
- Hajer Rejeb and Alexandre Reiffers-Masson. On the stability of DAG-based distributed ledger with heterogeneous delays
- Iratxe Iriondo and Josu Doncel. Performance Paradox of Dynamic Bipartite Matching Models
- Arthur Farel Ngoufo Mboho, Arnold Willie Kouam Kounchou, Yezekael Hayel, Gabriel Deugoue and Charles Kamhoua. Active Nodes Maximization in a Virus Spread Model: An SI2R Malware Propagation Model
15h-30-16h Break
16h – 17h Keynote 2: Nadia Oudjane
Chair: Yezekael Hayel (Avignon Université)
Welcome drink
Thursday 10
9h-10h Keynote 3: Sergio Grammatico
Chair: Tijani Chahed (Telecom SudParis)
10h – 10h30 Break
10h30 – 12h30 Session Pricing & economic models (4 talks)
Chair: Alonso Silva (Nokia Bell Labs)
- Patrick Maillé and Bruno Tuffin. Impact of Regulation and the Digital Markets Act on Competing Platforms
- Jad Zeroual, Marianne Akian, Aurélien Bechler, Matthieu Chardy and Stéphane Gaubert. Optimal Strategy against Straightforward Bidding in Clock Auctions
- Luis Guijarro, Jose Ramon Vidal and Vicent Pla. Fair cost sharing under platform two-sided intermediation
- Frédy Pokou, Hélène Le Cadre and Marta Fochesato. Tariff Versus Sanction Under Bounded Rationality
14h – 15h30 Invited session
Chair: Ana Busic (Inria & ENS Paris)
- George Kesidis
- Title: Analysis of a System with Multiple Caches that Share Objects
- Nicolas Gast
- Title: Asymptotic Optimality in Restless Bandit
- Abstract: Restless bandit and weakly coupled MDPs are classical modeling tools to model resource allocation problems (for instance in scheduling or queuing networks). These problems are computationaly hard to solve and there has been a number of heuristics proposed in the literature, based on linear relaxation and mean field control. While some of them date from the 90s (the famous Whittle index), there has been a surge of recent development in this area. This talk will discuss these later developments: the what, the how and the why.
- Panagiotis Andrianesis
-
Title: Distributed Economic Dispatch in Power Networks Harnessing Data Center Flexibility
-
Abstract: In this work, we focus on the interaction of Data Centers (DCs) with electric power networks in an economic dispatch problem, harnessing the ability of DCs to serve as flexible loads that can alter their power consumption to alleviate network congestion. Since DCs can transfer workload between each other, controlling their output via some demand response mechanism that respects power generation and network constraints, while also accounting for DC Quality of Service (QoS) can achieve system-wide benefits. From the DC perspective, we aim to explore the benefits of their incorporation in an economic dispatch problem and demonstrate that they can achieve significant cost savings for the entire system (data and power networks), enabling the IT sector to contribute to societal sustainability efforts.
Our main contributions are as follows. First, we leverage results from queuing theory to model DCs and form QoS-based cost functions – signifying how well a DC can carry out its workload given an amount of active servers, for which we provide convexity guarantees under certain conditions. Second, we integrate DCs in a centralized economic dispatch problem that determines, apart from power generation, DC workload shifting and server utilization, while respecting power network constraints. Third, we provide a tractable decentralized formulation of the economic dispatch problem employing Lagrangian decomposition and a primal-dual algorithm, which can cater for both the power network constraints, and, most importantly, the DC workload shifting, in a distributed manner that scales for the “coupled” data and power networks. Fourth, we present experimental results on a standard power network that provide useful insights on the system-wide benefits from harnessing DC flexibility in the economic dispatch problem, emphasizing on the trade-offs between the DC locations, their efficiencies, and QoS costs.
Keywords: Data centers, flexibility, economic dispatch, Lagrangian decomposition.
This is joint work with Athanasios Tsiligkaridis, Ayse Coskun, Michael Caramanis, and Ioannis Paschalidis (Boston University). Part of this work is supported by France 2030 under grants ANR-22-PETA-0004 and ANR-22-PETA-0009 in the frameworks of the AI-NRGY and FlexTASE projects.
-
Best paper Award
Gala dinner
Friday 11
9h-10h Keynote 4: Michael Jordan
Chair: Hélène Le Cadre (Inria)
10h-10h30 Break
10h30-12h Session Energy, Generative AI (3 talks)
Chair: Patrick Maillé (IMT Atlantique)
- Ilia Shilov, Hélène Le Cadre, Ana Bušić, Anibal Sanjab and Pierre Pinson. Forecast Trading as a Means to Reach Social Optimum on a Peer-to-Peer Market
- Anthony Couthures, Prunelle Vogler, Olivier Beaude, Samson Lasaulce and Irinel-Constantin Morarescu. An optimization setup of the decarbonization problem in the transportation sector
- Alonso Silva. Large Language Models Playing Mixed Strategy Nash Equilibrium Games
12h15-12h30 Closing