Hi. I'm Jonathan...
I am a PhD student, researcher and developer at the University of St Andrews having previously attained an BSc. from the same
institution. Now in the fianl year of my PhD I research cloud monitoring and other issues pertaining to cloud computing.
As part of The Big Data Lab I investigate how
to monitor large scale clouds which are prone to frequent and rapid change. To this end I work
designing and evaluating monitoring strategies which eschew conventional hierarchical client-server
approaches and utilise concepts from P2P and distributed systems in order to work well at scale.
This research hopes to reduce the difficulty inherent in monitoring large scale systems and help
to to build better distributed systems.
I have published a number of technical reports and peer reviewed papers describing my work and
my work has been featured in The
A White House
Report to the US President and the MIT Technology Review.
Peer Reviewed papers
Jonathan Stuart Ward and Adam Barker. Observing the Clouds: A Survey and Taxonomy of Cloud Monitoring. Springer Journal of Cloud Computing, January 2015
Adam Barker, Blesson Varghese, Jonathan Stuart Ward and Ian Sommerville. Academic Cloud Computing Research: Five Pitfalls and Five
Opportunities. Presented at the 6th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud'14)
- Jonathan Stuart Ward and Adam Barker. Self Managing Monitoring for Highly Elastic Large Scale Cloud Deployments. Proceedings of the 6th International Workshop on Data Intensive Distributed Computing (DIDC 2014), in conjunction with the 23rd International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC'14).
- Jonathan Stuart Ward and Adam Barker. Varanus: In Situ Monitoring for Large Scale Cloud Systems. In Proceedings of IEEE CloudCom 2013, pages 341-344, IEEE Computer Society, December 2013.
- Jonathan Stuart Ward and Adam Barker. Semantic Based Data Collection for Large Scale Cloud Systems. In Proceedings of the 5th International Workshop on Data Intensive Distributed Computing (DIDC 2012), pages 13-22, ACM, 2012.