1 / 14

Karlsruhe Institute of Technology (KIT)

The Cirrus & Cumulus Project: Build a Scientific Cloud for a Data Center Lizhe Wang and Marcel Kunze Steinbuch Centre for Computing (SCC) Karlsruhe Institute of Technology (KIT) Germany. Karlsruhe Institute of Technology (KIT).

victoria
Download Presentation

Karlsruhe Institute of Technology (KIT)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Cirrus & Cumulus Project: Build a Scientific Cloud for a Data CenterLizhe Wang and Marcel KunzeSteinbuch Centre for Computing (SCC)Karlsruhe Institute of Technology (KIT) Germany

  2. Karlsruhe Institute of Technology (KIT) Cooperation between Research Centre Karlsruhe und Karlsruhe University Largest scientific center in Germany 8.000 scientists, 18.000 students Annual budget: > 500 Million Euro R&D focus: Energy research and Nanotechnology + >

  3. Google Trends: Grid Computing vs. Cloud Computing

  4. OpenCirrus Cloud Computing Research Testbedhttp://cloudtestbed.com An open, internet-scale global testbed for cloud computing research a tool for collaborative research focus: data center management & cloud services Resources: Multi-continent, multi-datacenter, cloud computing system “Centers of Excellence” around the globe each with 100–400+ nodes and up to ~2PB storage and running a suite of cloud services Structure: a loose federation Sponsors: HP Labs, Intel Research, Yahoo! Partners: UIUC, Singapore IDA, KIT, NSF Members: System and application development Available towards end of the year Great opportunity for Cloud R&D 4 March 10, 2014 © Hewlett-Packard Company

  5. Physical and Virtual Resource Sets (PRS, VRS) experiment save/restore

  6. A possible Definition of Cloud Computing Definition A computing Cloud is a set of network enabled services, providing scalable, QoS guaranteed, inexpensive computing platforms on demand, which could be accessed in a simple and pervasive way. Functionalities SaaS: Software as a Service HaaS: Hardware as a Service DaaS: Data as a Service PaaS: Platform as a Service IaaS: Infrastructure as a Service

  7. Anatomy of Cloud Computing Key features User-centric access On-demand service provisioning QoS guaranteed offer Autonomy Scalability & flexibility Enabling technologies Virtualization Service flow/workflow orchestration Web service & SOA Web 2.0 World-wide distributed storage & file system Parallel & distributed programming model

  8. Clouds vs. Grids: A Comparison

  9. Cumulus: A Cloud Computing Prototype

  10. Re-engineering the Globus Virtual Workspace Service (GVWS) GVWS Limitations Force all backends to install GVWS control agents Cloud users need to select network solutions Cloud users need to prepare VM images Re-engineering the GVWS for the Cumulus Remove GVWS control agents, GVWS frontend talks directly to LVMS, e.g., OpenNEbula Consider the similar scenario: Globus + PBS The “forward” network requirements to LVMS Prepare VM image via OS Farm for users

  11. OpenNEbula as a Backend The Cumulus frontend communicates with OpenNEbula via: SSH XML-RPC Improvement NIS  LDAP: shared user management - oneadmin NFS OCFS (Oracle Cluster File System): shared volumes for VM images Can develop other plug-in, embedded in the Cumulus frontend, for other LVMS, e.g., VMware Virtual Infrastructure

  12. OS Farm as a VM Provisioning Tool Development of CERN OpenLab OS Farm as server to generate VM images Can accept HTTP requirements, or via wget: wget http://www.fzk.de/osfarm/create?name=&transfer=http& class=slc_old&arch=i386&filetype=.tar&group=core&group=base A Java client is embedded in the Cumulus frontend to invoke OS Farm service dynamically.

  13. The “forward” Network Solution Users do not need to specify the network configuration of a VM Users only get network access to VM, e.g., IP address or hostname + domain name Cumulus forwards the network requirements to backend (LVMS), e.g., OpenNEbula Network solutions on Cumulus backend: OpenNEbula starts a VM, listens to central DHCP server, arranges an IP address to VM, returns it to Cumulus frontend Set hostname when the virtual machine is created Lease an IP address from the IP pool Cumulus frontend returns the IP address or the host name to the client.

  14. Thank you! Question? Contact: Lizhe Wang, Marcel KunzeSteinbuch Centre for Computing (SCC) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 D-76344 Eggenstein-Leopoldshafen, GermanyLizhe.Wang@kit.eduMarcel.Kunze@kit.edu

More Related