Facility Location in Cloud Computing Environments

The problem of facility location was considering assuming virtual machines as facilities in cloud computing environments.

Simulation for the replication part of the s-UFL policy for three different random geometric graph topologies (different values of r_c). (a) Cost C^{F_t} as a function of time t. (b) Number of facilities |F_t | as a function of time t. Obviously, as time increases, cost C^{F_t} reduces (towards the optimal C^O) and the number of service facilities increases (towards O).


[4] Alexandros Zervopoulos, Konstantinos Oikonomou, “A Migration-Based Approach for the SDN Controller Placement Problem in Tree Topologies”, In 2021 International Balkan Conference on Communications and Networking (BalkanCom), Novi Sad, Serbia, pp. 127-132, 2021.
[3] Eleni Kavvadia, Spyros Sagiadinos, Konstantinos Oikonomou, Giorgos Tsioutsiouliklis, Sonia Aïssa, “Elastic Virtual Machine Placement in Cloud Computing Network Environments”, In Computer Networks, Elsevier, vol. 93, no. Part 3, pp. 435-447, 2015.
[2] Fung Po Tso, Konstantinos Oikonomou, Eleni Kavvadia, Dimitrios Pezaros, “Scalable Traffic-Aware Virtual Machine Management for Cloud Data Centers”, In 2014 IEEE 34th International Conference on Distributed Computing Systems (ICDCS), pp. 238-247, 2014.
[1] Fung Po Tso, Gregg Hamilton, Konstantinos Oikonomou, Dimitrios Pezaros, “Implementing Scalable, Network-Aware Virtual Machine Migration for Cloud Data Centers”, In 2013 IEEE Sixth International Conference on Cloud Computing, pp. 557-564, 2013.