TY  - JOUR
A1  - Dombrowski, Sebastian
A1  - Ermakova, Tatiana
A1  - Fabian, Benjamin
T1  - Graph-based analysis of cloud connectivity at the internet protocol level
T2  - International Journal of Communication Networks and Distributed Systems (IJCNDS)
N2  - Internet connectivity of cloud services is of exceptional importance for both their providers and consumers. This article demonstrates the outlines of a method for measuring cloud-service connectivity at the internet protocol level from a client's perspective. For this, we actively collect connectivity data via traceroute measurements from PlanetLab to several major cloud services. Furthermore, we construct graph models from the collected data, and analyse the connectivity of the services based on important graph-based measures. Then, random and targeted node removal attacks are simulated, and the corresponding vulnerability of cloud services is evaluated. Our results indicate that cloud service hosts are, on average, much better connected than average hosts. However, when interconnecting nodes are removed in a targeted manner, cloud connectivity is dramatically reduced.
KW  - cloud computing
KW  - connectivity
KW  - availability
KW  - reliability
KW  - internet topology
KW  - graph analysis
KW  - complex networks
Y1  - 2019
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/50687
SN  - 1754-3916
SN  - 1754-3924
VL  - 23
IS  - 1
SP  - 117
EP  - 142
PB  - Inderscience Enterprises Ltd
CY  - Geneva
ER  -