際際滷shows by User: NodirKodirov / http://www.slideshare.net/images/logo.gif 際際滷shows by User: NodirKodirov / Wed, 01 Jun 2016 21:39:41 GMT 際際滷Share feed for 際際滷shows by User: NodirKodirov Quantifying the Noisy Neighbor Problem in Openstack /slideshow/quantifying-the-noisy-neighbor-problem-in-openstack/62634708 zerostackaustinpresentation-160601213941
Two of the desirable features for private clouds are better control and predictable performance. Although public clouds have been extensively researched to characterize their unpredictable performance, private clouds have received less scrutiny. In this talk, we will present how production workloads interfere with each other in an Openstack based cloud. We draw lessons from a several month long study of running workloads in different configurations on highly available implementation of Openstack. We study the impact of noisy neighbors on the network and storage IO performance of applications. We also look at the performance metrics of Openstack control plane and how the API calls are impacted with more number of entities like networks, routers, VMs, volumes. Our study relies on a tool that we developed to create clean and noisy workload deployments, using micro-benchmarks as well as enterprise workloads such as Hadoop, Jenkins and Redis.]]>
Two of the desirable features for private clouds are better control and predictable performance. Although public clouds have been extensively researched to characterize their unpredictable performance, private clouds have received less scrutiny. In this talk, we will present how production workloads interfere with each other in an Openstack based cloud. We draw lessons from a several month long study of running workloads in different configurations on highly available implementation of Openstack. We study the impact of noisy neighbors on the network and storage IO performance of applications. We also look at the performance metrics of Openstack control plane and how the API calls are impacted with more number of entities like networks, routers, VMs, volumes. Our study relies on a tool that we developed to create clean and noisy workload deployments, using micro-benchmarks as well as enterprise workloads such as Hadoop, Jenkins and Redis.]]> Wed, 01 Jun 2016 21:39:41 GMT /slideshow/quantifying-the-noisy-neighbor-problem-in-openstack/62634708 NodirKodirov@slideshare.net(NodirKodirov) Quantifying the Noisy Neighbor Problem in Openstack NodirKodirov Two of the desirable features for private clouds are better control and predictable performance. Although public clouds have been extensively researched to characterize their unpredictable performance, private clouds have received less scrutiny. In this talk, we will present how production workloads interfere with each other in an Openstack based cloud. We draw lessons from a several month long study of running workloads in different configurations on highly available implementation of Openstack. We study the impact of noisy neighbors on the network and storage IO performance of applications. We also look at the performance metrics of Openstack control plane and how the API calls are impacted with more number of entities like networks, routers, VMs, volumes. Our study relies on a tool that we developed to create clean and noisy workload deployments, using micro-benchmarks as well as enterprise workloads such as Hadoop, Jenkins and Redis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zerostackaustinpresentation-160601213941-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Two of the desirable features for private clouds are better control and predictable performance. Although public clouds have been extensively researched to characterize their unpredictable performance, private clouds have received less scrutiny. In this talk, we will present how production workloads interfere with each other in an Openstack based cloud. We draw lessons from a several month long study of running workloads in different configurations on highly available implementation of Openstack. We study the impact of noisy neighbors on the network and storage IO performance of applications. We also look at the performance metrics of Openstack control plane and how the API calls are impacted with more number of entities like networks, routers, VMs, volumes. Our study relies on a tool that we developed to create clean and noisy workload deployments, using micro-benchmarks as well as enterprise workloads such as Hadoop, Jenkins and Redis.
Quantifying the Noisy Neighbor Problem in Openstack from Nodir Kodirov
]]> 333 5 https://cdn.slidesharecdn.com/ss_thumbnails/zerostackaustinpresentation-160601213941-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-NodirKodirov-48x48.jpg?cb=1507781107 I am broadly interested in systems research. I am working under supervision of Ivan Beschastnikh in the Networks, Systems, and Security laboratory. Recently, I have been working on OpenStack networking and data center network functions virtualization. I am also developing an increasing interest in formal verification techniques, in particular, applying SMT solvers to systems problems. http://www.cs.ubc.ca/~knodir/