III. in order to improve the performance of

III.   
SERVER CONSOLIDATION

 

This section
shows the taxonomy on server consolidation frameworks, a review of server
consolidation frameworks, and a comparison of existing frameworks based on
parameters selected from literature

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A. Taxonomy of server
consolidation frameworks

 

This section shows
the taxonomy for classifying of the server consolidation frameworks. Server
consolidation frameworks are divided based on five common characteristics
between server consolidation frameworks which including Resource assignment
policy, Architecture, Colocation criteria, Migration triggering point, and
Migration model 2. Resource assignment policy attributes are either static or
dynamic. The static server consolidation method assigns maximum resources to
the VM based on its creation. The attribute of parameter describes server
consolidation framework design. But, those centralized server consolidation
frameworks are set to single failure point that is not reliable. The criteria
of co- attribute defines the criterion chose to co-host multiple VMs through a
server. Co-location of VM criteria can be defined in terms of shared memory,
communication bandwidth between VMs, power efficiency, and enough resource
availability to decide on the suitable time to migrate a VM. A migration model
describes the migration pattern chosen to emigrate the VM between servers. For
the period of server consolidation, VMs are migrated either using pre-copy
migration pattern or post copy method.

 

B. A review of server
consolidation frameworks

 

VM depends on
communication cost in order to improve the performance of input and output or
non-input and output applications. The cost of communication is a cause of
communication rate and network delay. The representation of communication cost
between different machines to identify intensive VMs in order to form a VM
cluster. The cost tree representing the communication cost between VMs serves
in order to place VMs according to the communication space between VMs when
crossed .The useless VM migration destroys by decreasing the SLA. The framework
lacks in considering the effect of CPU and memory workloads during VM
placement. According to the resource memory workloads damage system performance.

 

C. Comparison of server consolidation
frameworks

 

Most of VM
migration approaches have optimized application interruption and whole
migration duration by employing optimization and avoiding hostile migration
termi-nation. More-over, an optimization method shows additional overhead on
shared resources like CPU, memory, or cache while optimizing VM migration
performance parameters such as downtime,

wholel migration time, and application quality of service. Demonstrating a
qualitative comparison of VM migration schemes based on selected parameters to focus
commonalities and variances in existing bandwidth optimization schemes.
Migration optimization exploits reduplication, compression, fingerprinting, and
dynamic self-ballooning to improve application and network performance. So, VM
migration approaches can use optimized network bandwidth