In this lecture, we examine the problem of “resource allocation and fairness”, choosing how to share finite resources among K users. Specifically, we go through (i) the welfare maximization problem, (ii) max-min fairness, proportional fairness and alpha fairness, and (iii) dominant resource fairness.
Lecture Notes: Lecture Notes part 2
Lecture Slides: Lecture Slides part 2
In this lecture, we examine the problem of “resource planning”, reserving resources for unknown demand, a very common problem encountered in cloud computing and data centers. Specifically, we go through (i) the newsvendor model, (ii) stochastic planning to a demand forecast, and (iii) elastic planning using the framework of Online Convex Optimization.
Lecture Notes: Lecture Notes part 1
Lecture Slides: Lecture Slides Part 1
G. Paschos – PhD thesis in Greek
G. Paschos – Lecture notes in Greek, 2011 [pdf]
G. S. Paschos, I. Papapanagiotou and Thomas M. Bohnert – WiMAX networks planning and optimization [book]
I. Papapanagiotou and G. S. Paschos – Heterogeneous Next Generation Networking: Innovations and Platform [book]
G. S. Paschos and M. Kountouris – 5G Wireless Technologies, IET 2017 [pdf]
J. Kwak, G. Paschos, and G. Iosifidis – Wireless Edge Caching 2018 [pdf]
G. Paschos, G. Iosifidis, M. Tao, D. Towsley, and G. Caire – IEEE JSAC SI on Caching 2018 – Tutorial Paper [arxiv.org]
A. Destounis, S. Paris, L. Maggi, G. Paschos, and J. Leguay – IEEE/ACM Transactions on Networking 2018 [pdf]