SuperVessel: The Open Cloud Service for OpenPOWER

Transcription

1 Superessel: The Open Cloud for OpenPOWER Yonghua Lin, Ling Shao IB Facebook group: Superessel OpenPOWER Superessel WeChat group QQ group: Superessel

2 Why SuperesselCloud otivation: To grow the number of developers on OpenPOWER in the world Freely opened to all the students in universities, individual developers and ecosystem partners for OpenPOWER. Built on the POWER7/POWER8 resource pool Built with open technologies, such as OpenStack Support advanced technology services, e.g. service, big data service, cognitive computing service 2

3 Roadmap of Superessel Super arketplace (Online) Superessel Cloud (Online) Superessel Big Data and HPC OpenPOWER Enablement (Online) Super Class (Preparing) Super Project Team 1. and container service 2. Storage service 3. Network service 4.Accelerator as service 5. Image service 1.Big Data service: apreduce (Symphony), SPARK 2.Performance tuning service 1.X-to-P migration 2. OpenPOWER new system test service 1.On-line video courses 2.Teacher course 3.User contribution 1.Project service 2. DevOps automation SuperesselCloud Infrastructure Storage IB POWER servers OpenPOWER server FPGA/GPU 3

4 Architecture of SuperesselCloud User interface Admin interface OpenPOWER-Superessel Unified anagement Platform User account & authentication irtual point Statistic and analysis Cloud Infrastructure Big Data OpenPOWER enablement service Super Class service Super Project (IB Cloud anagement) Horizon Glance OpenStack controller HEAT Cinder Nova Neutron s for cloud admin System maintenance Resource usage metering System monitoring System analysis Image Baremetal K K LxC/ LxC / K Nova Neutron Cinder Nova Neutron Cinder Nova Neutron Cinder Nova Neutron Cinder Nova Neutron Cinder K pool for POWER8 LE K pool for POWER8 BE Container pool for POWER8 LE GPFS Container pool for POWER8 BE K pool for x86 OpenPOWER server FPGA/GPU 4

5 To expand the Superesselvia collaboration with OpenPOWERpartners ulti-site design : Using the multi-region in OpenStackto support multi-site of Superessel cloud. We are designing the first multi-site for Jiangsu Development and Test cloud on POWER Shared dashboard, Shared keystone, Shared object store (in future) Enhance the cache design for performance optimization Enable the regional administration Unified anagement of Superessel Dashboard for cloud Dashboard for Big data Beijing Site Jiangsu Site Users OpenStack controller OpenStack controller Users 5

6 SuperesselCloud s irtual machine and services PN Pre-installed image service ulti-site support will be provided in next step We use virtual points for resource 6

7 SuperesselCloud s Pre-installed image service: It could very much make user easier to start development on POWER is used to provide the pre-installed environment. 7

8 SuperesselBig Data s Support apreduce and SPARK services Allow user to request different size of cluster 8

9 Shared file system for Cloud and Big Data service Cloud Infrastructure Big Data HEAT template for big data cluster Select Big data computing framework (apreduce, SPARK Select cluster size Select data folder size Servers Servers GPFS FPO GPFS FPO POWER7/POWER8 KeyStone Glance User A K/ (Web app) OpenStack controller Horizon Nova Cinder anila GPFS FPO HEAT Neutron User A (Symphony (Symphony (Symphony ) ) ) Folder A User B (Symphony (Symphony (SPARK) ) ) Folder B POWER7/POWER8 HEAT will orchestrate docker instances, subnet and data folder based on user s request anila provides the NFS service using GPFS as backend, and the folder will be mounted via nova-docker(with v support) Folder created by anila could be accessed by the K/dockerinstances created for big data and other purpose 9

10 SuperesselAccelerator as Accelerator arketplacefor developers to upload and compile the accelerators for Superessel POWER cloud Allow user to request different size of cluster Fig.1 Accelerator arketplace for Superessel Cloud Fig.2 Cloud users could apply accelerator when creating 10

11 Developer quickly grew in the past 100 days Usersfrom 30 universities (including 3from US) 6 university joint research projects Supportedseveral courses from universities, e.g. The Big Data course of Beijing Institute of Technology: 100 students with 38big data clusters The virtualization technology course from University of Delaware (US) Our target is 100,000 users and 100 universities in 2015/

12 Thank You!! Call for your collaboration to build this CLOUD together 12