IMC Challenge powered by Huawei Problem A. Data Center Network Multipath Load Balancing

IMC Challenge powered by Huawei Problem A. Data Center Network Multipath Load Balancing

Welcome to IMC Challenge powered by Huawei Problem A. Data Center Network Multipath Load Balancing

This is the contest system for IMC Challenge powered by Huawei Problem A. Data Center Network Multipath Load Balancing. The contest has now finished. You can view the final results.

1
Problems
338 / 196
Contestants / Teams
1
Languages
28916
Submissions

Description

The IMC Challenge powered by Huawei is an international program jointly initiated by Huawei and the International Mathematics Competition for University Students (IMC). This program gives math enthusiasts the opportunity to tackle real-world math problems faced by the industry, builds bridges between theoretical research in mathematics and the industry, and provides a platform for the exchange of ideas. Huawei's support for this program is part of its ongoing commitment to opening up its research platforms that focus on future information terminals, computing, and connectivity. Huawei has and will continue to create opportunities for the next generation of problem solvers, as they explore challenging subject areas that advance science and technology and drive the industry to meet the needs of tomorrow.

Problems

This Challenge covers three problems. Each problem will be released on a different date and have its own reward plan. Contestants can choose to work on one or more of the problems. They are:

  • Problem A Data Center Network Multipath Load Balancing (keywords: Traffic Scheduling, Simulation, Overload Control)
  • Problem B Spatial Estimation and Separation (keywords:Spatial Estimate, Nonlinear System)
  • Problem C Multi-Parameter Wireless Network Optimization Based on Coverage Simulation (keywords: Surrogate Model, Heuristic, Multi Object)

For more information, see the rules.

Start & End Times

Start Time 2023-12-26 20:00 CST
End time 2024-01-30 20:00 CST

Scoring

Partial Credit — Ranked

Explanation:
Standard scoreboard type for problems with partial credit. Participants are ranked by the sum of the score of each problem. There is no tiebreaker.

Standings

  • Standings are shown without limitation.

Languages

Python 3