MIKELANGELO: MIcro KErneL virtualizAtioN for hiGh pErfOrmance cLOud and HPC Systems

  • Nico Struckmann
  • Yosandra Sandoval
  • Nadav Har’El
  • Fang Chen
  • Shiqing Fan
  • Justin Činkelj
  • Gregor Berginc
  • Peter Chronz
  • Niv Gilboa
  • Gabriel Scalosub
  • Kalman Meth
  • John Kennedy
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 824)

Abstract

MIKELANGELO is a project, targeted to disrupt the core underlying technologies of Cloud computing, enabling even bigger uptake of Cloud computing, HPC in the Cloud and Big Data technologies under one umbrella. The vision of it is to improve responsiveness, agility and security of the virtual infrastructure through packaged applications, using lean guest operating system OSv and superfast hypervisor SuperKVM. In short, the work will concentrate on improvement of virtual I/O in KVM, using additional virtio expertise, integrated with the light-weight operating system OSv and with enhanced Security. The HPC in the Cloud focus will be provided through involvement of a large HPC centre, with the ability and business need to cloudify their HPC business. The Consortium consists of hand-picked experts (e.g., the original creator of KVM - Avi Kivity) who participate in the overall effort to reduce one of the last performance hurdles in the virtualisation (I/O). Other layers of inefficiency are addressed through OSv (thin operating system). Such approach will allow for use of MIKELANGELO stack on heterogeneous infrastructures, with high responsiveness, agility and improved security. The targeted audience are primarily SMEs (e.g. simulation dependent SMEs) and data center operators who either benefit from higher performance or flexibility, introduced by the software stack. Four real world use-cases with clear owners, serve as validators and also directly contribute to the exploitation of project results.

Keywords

Cloud computing HPC Big data SuperKVM KVM Virtualised infrastructures OSv vTorque 

Notes

Acknowledgments

The work described in this document has been conducted within the Research & Innovation action MIKELANGELO (project no. 645402), started in Jan 2015, and co-funded by the European Commission under the Information and Communication Technologies (ICT) theme of the H2020 framework programme (H2020-ICT-07-2014: Advanced Cloud Infrastructures and Services).

References

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Nico Struckmann
    • 1
  • Yosandra Sandoval
    • 1
  • Nadav Har’El
    • 2
  • Fang Chen
    • 3
  • Shiqing Fan
    • 3
  • Justin Činkelj
    • 4
  • Gregor Berginc
    • 4
  • Peter Chronz
    • 5
  • Niv Gilboa
    • 6
  • Gabriel Scalosub
    • 6
  • Kalman Meth
    • 7
  • John Kennedy
    • 8
  1. 1.High Performance Computing Center Stuttgart (HLRS)University of StuttgartStuttgartGermany
  2. 2.ScyllaDB, Ltd.HerzeliaIsrael
  3. 3.European Research CenterHuawei Technologies Duesseldorf GmbHMunichGermany
  4. 4.XLAB Razvoj programske opreme in svetovanje, d.o.o. (XLAB)LjubljanaSlovenia
  5. 5.Gesellschaft fuer wissenschaftliche Datenverbeitung mbH Goettingen (GWDG)GottingenGermany
  6. 6.Ben-Gurion University of the Negev (BGU)Beer ShevaIsrael
  7. 7.IBM Israel Science and Technology Ltd.Petach TikvaIsrael
  8. 8.Intel Shannon Limited (INTEL)LeixlipIreland

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