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.
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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).
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Struckmann, N. et al. (2018). MIKELANGELO: MIcro KErneL virtualizAtioN for hiGh pErfOrmance cLOud and HPC Systems. In: Mann, Z., Stolz, V. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2017. Communications in Computer and Information Science, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-79090-9_15
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DOI: https://doi.org/10.1007/978-3-319-79090-9_15
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