[openstack-dev] Fwd: [Blueprint thunderboost] Accelerate the booting process of a number of vms via VMThunder

yongquan Fu quanyongf at gmail.com
Mon May 19 07:47:57 UTC 2014


---------- Forwarded message ----------
From: OpenStack Infra <hudson at openstack.org>
Date: 2014-05-18 10:29 GMT+08:00
Subject: [Blueprint thunderboost] new Blueprint: Accelerate the booting
process of a number of vms via VMThunder


  Intro:

  Currently, Nova boots vms by directly copying images from glance to the
  computing nodes. This is acceptable for booting a small number of vms
  when the bandwidth costs are tolerable. Unfortunately, for multi-tenant
  or provisioning large scales of vms, the bandwidth usage is quite high,
  worse still, centralized points of the glance service form the
  performance bottlenecks.

  Although Nova has added the prefetching and caching mechanisms at the
computing nodes, the above shortingcoming still exist, when we boot the
system for the first time, or the cache contents are invalid. Therefore, we
propose to replace the direct copying with a more scalable streaming based
P2P cooperative booting scheme:
  (1) compute node caching
   (2) P2P transfering and prefetching
  (3) on-demand transfering (network storage).

  More info:

   VMThunder standalone project: https://launchpad.net/vmthunder;
   VMThunder prototype: https://github.com/lihuiba/VMThunder
   VMThunder etherpad: https://etherpad.openstack.org/p/vmThunder
   VMThunder portal: http://www.vmthunder.org/
  VMThunder paper:
http://www.computer.org/csdl/trans/td/preprint/06719385.pdf

  Mailing-list: http://lists.openstack.org/pipermail/openstack-
  dev/2014-April/032883.html
+
+
+ Gerrit topic: https://review.openstack.org/#q,topic:bp/thunderboost,n,z
+
+
+ Addressed by: https://review.openstack.org/94060
+     new nova spec: thunderboost

--
Accelerate the booting process of  a number of vms via VMThunder
https://blueprints.launchpad.net/nova/+spec/thunderboost



-- 
Yongquan Fu
PhD, Assistant Professor,
National Key Laboratory for Parallel and Distributed
Processing, College of Computer Science, National University of Defense
Technology, Changsha, Hunan Province, P.R. China
410073
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