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Exponentially Weighted Algorithm for Online Network Resource Allocation with Long-Term Constraints
This paper studies an online optimal resource reservation problem in communication networks with job transfers where the goal is to minimize the reservation cost while maintaining the blocking cost under a certain budget limit.
Online Optimization for Network Resource Allocation and Comparison with Reinforcement Learning Techniques
The system operates in discrete time; at each time slot, the administrator reserves resources at servers for future job requests, and a cost is incurred for the reservations made.
Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints
If certain job requests cannot be satisfied, there is a violation that engenders a cost to pay for each of the blocked jobs.
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