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Tag: Cloud computing

Cloud Computing Lecture 2 – Resource Allocation and Fairness

Cloud Computing Lecture 2 – Resource Allocation and Fairness

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

 

J.18 Sustainability of Service Provisioning Systems under Stealth DoS Attacks 

G. S. Paschos , and L. Tassiulas – IEEE Trans. on Control of Network Systems 2016 [pdf]

J.16 CPU Provisioning Algorithms for Service Differentiation in Cloud-based Environments 

K. Katsalis, G. S. Paschos, Y. Viniotis, and L. Tassiulas – IEEE Trans. on Network and Service Management 2015 [pdf]

C.60 No Regret in Cloud Resources Reservation with Violation Guarantees 

N. Liakopoulos, G. Paschos, and T. Spyropoulos – IEEE INFOCOM 2019 [pdf]

C.44 Routing with Blinkers: Online Throughput Maximization without Queue Length Information 

G. S. Paschos, M. Leconte, and A. Destounis – ISIT 2016 [pdf]

C.42 Streaming Big Data meets Backpressure in Distributed Network Computation 

A. Destounis, G. S. Paschos, and I. Koutsopoulos – IEEE INFOCOM 2016 [pdf]

C.33 Dynamic Overload Balancing in Server Farms 

C.-P. Li, G. S. Paschos, L. Tassiulas, and E. Modiano – IFIP Networking 2014 [pdf]

C.29 Service Differentiation in Multitier Data Centers 

K. Katsalis, G. S. Paschos, L. Tassiulas, and Y. Viniotis – IEEE ICC 2013 [pdf]

C.28 Dynamic CPU scheduling for QoS provisioning 

K. Katsalis, G. S. Paschos, L. Tassiulas, and Y. Viniotis – IFIP IM 2013 [pdf]

About Me

ANNA BELL DOE

Welcome to my homepage! I am head of Research Science group at Amazon Transportation Services, Luxembourg, working in optimization and machine learning algorithms, with applications to automated and sustainable transportation.

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