Abstract:
Cloud computing is deployed a large set
of virtualized computing resources in different
infrastructures and various development
platforms. One of the key challenges in cloud
computing system is virtual resources and virtual
machines (VMs) are rapidly provision in order to
meet the cloud user’s requirement. To address
this challenge, this system contributes two level
scheduling systems: (i) virtual resource
allocation and scheduling on private cloud
infrastructure and (ii) real time scheduling that
is invoked for multimedia applications running
on virtual machines. First is resource level
scheduling and second is application level
scheduling. This system analyzes first level
scheduling steps by applying an analytical
performance model using Stochastic Markov
chain. Moreover, a real time scheduling
algorithm is presented for application level to
analyze real time multimedia applications
running on virtualized servers. According to
performance evaluation, this system describes
the detail analysis of virtual resources and
allocation steps based on the criteria such as
user request completion probability, mean
response time. Then, this system also shows the
analysis results for real time applications
running on virtualized servers. This scheduling
algorithm contributes to reduce the rate and
ratio of missing deadline. As a testbed
infrastructure, this system evaluates and
analyzes an academic-oriented private cloud
system which is implemented using
Eucalyptus open source system.
