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Tuesday, May 13 • 12:05pm - 12:45pm
Real-time Predictive Analytics and Visualization for Openstack Operations

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As Openstack matures and gets adopted, one of the potential challenges will be to run Openstack smoothly and efficiently. In order to achieve this, one way is to use operational data to improve ops. The amount of data that can be collected in an openstack deployment is quite large. It is important to extract operational insights from this data. An important step was the birth of Ceilometer which is a fantastic telemetry platform. As a first step, we show we can couple Ceilometer with a real-time stream mining platform and machine learning (using opensource components) to predict hotspots within a cluster among other patterns. We believe this approach will lead to innovations within the Openstack operations ecosystem.


Debojyoti Dutta

Principal Engineer
Debo~ is a principal engineer in the Office of the Cloud CTO at Cisco Systems where he is involved in several efforts on Openstack including building out large scale big data systems. He is passionate about different aspects of large scale streaming data. He has years of data science experience, both as a postdoctoral research associate in Computational Biology at the University of Southern Califonia and later as a visiting researcher at... Read More →
avatar for Alex Holden

Alex Holden

Cloud Computing R&D: Big Data on OpenStack, Cisco Systems
Alex Holden is a Web Developer currently working as an OpenStack engineer in the CTO Cloud office at Cisco. Spurred by a past designing and marketing ecommerce platforms, and student days freelancing as a graphic designer so he could afford to eat, his current OpenStack passions include expanding the feature set of Ceilometer (Telemetry) to provide more accurate and up to date data for cloud optimization, and streamlining the experience of end... Read More →
avatar for Xinyuan Huang

Xinyuan Huang

Cloud/OpenStack R&D, Cisco Systems
Xinyuan Huang is a software engineer in the Cloud CTO group of Cisco Systems. He is contributing to smart resource placement for OpenStack, and cloud infrastructure optimization for Big Data. He is interested in the development of Nova, Ceilometer, and Sahara, etc.
avatar for Marc Solanas Tarre

Marc Solanas Tarre

Big Data on OpenStack R & D, Cisco Systems
Marc is a Software Engineer in the CTO Cloud lab in Cisco Systems, in San Jose, CA. He is passionate about Big Data and distributed systems. Particularly, he is interested on how to optimize Big Data on OpenStack by tuning resource placement, network and storage configurations. He is mainly interested in the development and implementation of Ceilometer, Sahara and Heat. He is a MSc from the University of Kent, UK and obtained his BEng at the... Read More →
avatar for Damian Van Vuuren

Damian Van Vuuren

Cloud Computing R&D, Cisco Systems
Damian is currently working as an engineer at Cisco, in the Cloud Computing department (more specifically working with Big Data on OpenStack). He is passionate about OpenStack (specifically Sahara).
avatar for Kai Zhang

Kai Zhang

Cloud/OpenStack R&D, Cisco Systems, Inc
Kai Zhang is a cloud software engineer in the office of the Cloud CTO at Cisco in San Jose. He loves software defined storage and ceph in particular.
avatar for Pengfei Zhang

Pengfei Zhang

Software Engineer @ Cloud R&D, Cisco Systems
Currently working as a software engineer in the CTO Cloud Lab in Cisco Systems. Focusing on network management and optimization in the cloud, especially network virtualization and performance isolation. Also interested in using Data Mining for network information, in order to get deep understanding of the virtualized network regard to both hardware status and application level.
avatar for Ailing Zhang

Ailing Zhang

Software Engineer, Cisco Systems
Currently working on Cloud computing CTO group in Cisco.

Tuesday May 13, 2014 12:05pm - 12:45pm
Room B101

Attendees (344)