Nobody likes a traffic jam, even on the Internet. Yet while we rely on Internet connectivity constantly, most of us don’t stop and think about traffic management in the cloud very often.
That’s not the case for BCIT Computing faculty member Dr. Michal Aibin (shown above), who presented his research on network traffic at the International Conference on Computing, Networking and Communications earlier this term. The conference, which offers a broad and elite audience in the computer and communications fields, is organized by the Institute of Electrical and Electronics Engineers (IEEE), the world‘s “largest technical professional organization for the advancement of technology.”
Michal’s paper, Traffic Prediction for Inter-Data Center Cross-Stratum Optimization Problems, was well received.
Supporting rapid growth in cloud computing
”Usually when people find their Internet speed getting slower, they think they need to upgrade their service. This challenge is different: currently deployed optical networks won’t be able to support the global traffic needs of the near future, unless we can develop new algorithms to help increase data transfer capability,” explains Michal.
“This research helps us understand how current networks require machine learning and AI to support their increasing traffic loads.”
The algorithms used in Michal’s paper can be adapted to existing cloud services, such as Amazon Web Services, Microsoft Azure, or Google Cloud.
Preparing the next generation to address these challenges
Michal is also able to bring his knowledge into the computing classroom, helping inform the next generation of technologists, as he teaches into the Computer Systems Technology (CST) and Computer Information Technology (CIT) diploma programs. Both programs deal significantly with issues of cloud computing, particularly the new CST option in Cloud Computing.
Further work can’t come soon enough for those of us enduring buffering of an amazing viral cat video, or, more seriously, relying on the cloud for the myriad of constant communications that depend on it.