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From Apache Wiki <wikidi...@apache.org>
Subject [Incubator Wiki] Update of "TashiProposal" by DavidOHallaron
Date Thu, 10 Jul 2008 15:04:17 GMT
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The following page has been changed by DavidOHallaron:
http://wiki.apache.org/incubator/TashiProposal

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  The Tashi project aims to build a software infrastructure for cloud computing on massive
internet-scale datasets (what we call Big Data). The idea is to build a cluster management
system that enables the Big Data that are stored in a cluster/data center to be accessed,
shared, manipulated, and computed on by remote users in a convenient, efficient, and safe
manner.  The system aims to provide the following basic capabilities:
  
- (a) On-demand provisioning of storage and compute resources. Users request a number of compute
nodes, which can be either virtual or physical machines, and a set of disk images to boot
up on the nodes. In response they receive their own persistent logical cluster of compute
and storage nodes, which they can then manage and use.
+ (a) 'On-demand provisioning of storage and compute resources.' Users request a number of
compute nodes, which can be either virtual or physical machines, and a set of disk images
to boot up on the nodes. In response they receive their own persistent logical cluster of
compute and storage nodes, which they can then manage and use.
  
- (b) Extensible end-to-end system management. Tashi will define open non-proprietary interfaces
for management tasks such as observation, inference, planning, and actuation. This will keep
the system vendor-neutral and allow different research and development groups to plug in different
implementations of different management modules.
+ (b) 'Extensible end-to-end system management.' Tashi will define open non-proprietary interfaces
for management tasks such as observation, inference, planning, and actuation. This will keep
the system vendor-neutral and allow different research and development groups to plug in different
implementations of different management modules.
  
- (c) Cooperative storage and compute management.  The system will define new non-proprietary
interfaces and methods that will allow compute and storage management to work together in
concert.
+ (c) 'Cooperative storage and compute management.'  The system will define new non-proprietary
interfaces and methods that will allow compute and storage management to work together in
concert.
  
- (d) Flexible storage models. The system will support a range of different storage models,
such as network-attached storage, per-node storage, and hybrids, to allow developers, researchers,
and large scale cluster/data center operators to experiment with different kinds of file systems.
+ (d) 'Flexible storage models.' The system will support a range of different storage models,
such as network-attached storage, per-node storage, and hybrids, to allow developers, researchers,
and large scale cluster/data center operators to experiment with different kinds of file systems.
  
- (e) Flexible machine models. The system will support different machine models.  In particular,
it will be VMM-agnostic, able to run different virtual machine monitors such as KVM and Xen.
Also, in order to address the cluster squatting problem (when clusters are balkanized by users
who reserve and hold nodes for their exclusive use) the system will support a novel bi-model
booting capability, in which virtual machine and physical machine instances can boot from
the same disk image.
+ (e) 'Flexible machine models.' The system will support different machine models.  In particular,
it will be VMM-agnostic, able to run different virtual machine monitors such as KVM and Xen.
Also, in order to address the cluster squatting problem (when clusters are balkanized by users
who reserve and hold nodes for their exclusive use) the system will support a novel bi-model
booting capability, in which virtual machine and physical machine instances can boot from
the same disk image.
  
  == 3. Rationale and Approach ==
  

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