computing provides all types of resources as services. Hardware and software
resources are shared with reference to the user demands. Service components are
deployed to support the enterprise applications. Virtual Machines (VM) are
provided for the service components based on the capacity levels. Service
component consolidation or VM consolidation refers the process of mapping the
Virtual Machines to the service components. The service components associated
with the same application is denoted as Dependant Service Component. Intelligent
service management models identify the service dependencies to achieve the low
network latency. The service consolidation with low communication time reduces
the communication cost for the network applications.

components for enterprise applications are deployed in many hosts and network
devices. Service components consolidation is carried out with the consideration
of resource constraints, service dependency and network structure. CloudScout
is a non-intrusive approach applied for automatically discovers dependent
service components. The correlation among service components is analyzed with
the time-series information from system monitoring logs. The log mining
approach is used for the service dependency discovery with generality and
privacy protection features. The iEntropy method is applied to dynamically
determine the weight of each resource metric in the service distance
calculation. The hierarchical and iterative k-means (HiKM) algorithm is adapted
for the dependent service clustering process. The Queue network and network
latency optimization are used in the VM consolidation process.

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CloudScout scheme is enhanced to support optimal service dependency discovery
and service consolidation process. The service dependency discovery process is
improved with sequential dependencies and complimentary dependencies. The Multi
Objective Service Consolidation (MOSC) scheme is build to allocate the Virtual
Machines for the service components. The service consolidation process is
upgraded with resource level constraints.