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Talk11 min

Cisco: "Next Generation Operating Systems"

Zeljko SUSNJAR · CERN

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About

Next-gen computing (NGC) platform is a new architectural concept, which will greatly enhance application performance in modern data centers, and will fundamentally deal with following challenges: Application's parallelization, like e.g. map/reduce, driven by rapidly growing number of CPU cores per socket Efficient use of resources, driven by diversity of hardware as well as power constrains Data center wide system consistency, addressing failure of the system components will be a norm not an exception The paradox of the IT industry is that hardware evolution has advanced at much faster pace than system software features. Hardware has become more powerful, using technologies like SRIOV, VTx, vNIC, SGX, multi core etc., while Operating Systems are still treating them as simple devices, and doing all the heavy lifting by themselves. NGC is proposing an Operating System redesign by enabling application control over physical hardware (a.k.a. the data plane) and keeping the kernel out of the way as much as possible, while providing management (a.k.a. control plane) functionality. The recent fast adoption of Linux containers (see e.g. Docker, Rancher, LTMCTFY and others), which are essentially an Operating System virtualization technique, is the proof that Data Center is on the quest for more application aware and/or efficient way of abstracting the hardware. The Data Plane Computing System project in the CERN openlab, executed between Cisco and the ALICE experiment, provides a proof of concept for the above ideas..

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The talk

  1. Cisco: "Next Generation Operating Systems" 2015-06-10 · 11 min · CERN's player

Credits and licence

Institution
CERN
Department
other events or meetings
Speaker
Zeljko SUSNJAR
Year
2015
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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