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Update README.md for Terracotta

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Update the README.md to make the objective of
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# Terracotta: A Framework for Dynamic Consolidation of Virtual Machines in Openstack Clouds # Terracotta: A Framework for Dynamic Consolidation of Resources in Openstack Clouds
Terracotta is an extension to OpenStack implementing dynamic consolidation Terracotta is an extension to OpenStack implementing dynamic consolidation
of Virtual Machines (VMs) using live migration. The major objective of dynamic of resources, e.g. Virtual Machines (VMs) using live migration.
VM consolidation is to improve the utilization of physical resources and reduce
energy consumption by re-allocating VMs using live migration according to their Currently, the major objective is dynamic VM consolidation to improve the utilization
real-time resource demand and switching idle hosts to the sleep mode. of physical resources and reduce energy consumption by re-allocating resources using
live migration according to their real-time resource demand and switching idle hosts to
the sleep mode.
For example, assume that two VMs are placed on two different hosts, but the For example, assume that two VMs are placed on two different hosts, but the
combined resource capacity required by the VMs to serve the current load can be combined resource capacity required by the VMs to serve the current load can be
@ -28,7 +30,7 @@ sub-problems:
- Placing VMs selected for migration to other active or re-activated hosts. - Placing VMs selected for migration to other active or re-activated hosts.
The aim of the Terracotta project is to provide an extensible framework for The aim of the Terracotta project is to provide an extensible framework for
dynamic consolidation of VMs based on the OpenStack platform. The framework dynamic consolidation of resources based on the OpenStack platform. The framework
provides an infrastructure enabling the interaction of components implementing provides an infrastructure enabling the interaction of components implementing
the 4 decision-making algorithms listed above. The framework allows the 4 decision-making algorithms listed above. The framework allows
configuration-driven switching of different implementations of the configuration-driven switching of different implementations of the