

Abstract
: Internet service providers (ISPs) and mobile telecommunication
companies are moving towards network function virtualization or NFV. This new
technology will allow them to use virtual function modules on standard computing
hardware for all specialized functions such as Serving GPRS Support Node (SGSN),
Radio Network Controller (RNC), etc. In effect, they plan to use cloud computing to
reduce their capital expenditure and operational expenditure by using virtualization,
programmability, dynamic scaling, automation, and easy management of resources.
Each mobile tower may have a micro-cloud to support real-time applications on smart
phones. Other businesses, such as Banking, Financial sector, retail, Government, and
education can also benefit from a cloud based deployment and will need to use a
distributed multi-cloud computation infrastructure. The key problem with such
deployments is that the inter-cloud wide area network (WAN) links are expensive and
have limited capacity as well as high-cost bandwidth, which affect the performance of
the application. Unlike a single-cloud deployment, proper placement of the virtual
application modules among geographically disparate clouds is important to ensure
acceptable latency and throughput. Two key challenges in such inter-cloud deployments
are: Heterogeneity and the impact of networking delays on the performance of real-time
applications. We propose to develop a platform that will allow ASPs to specify their
deployment policies. The policies will then be automatically enforced by the platform as
the state of the system and traffic changes. The platform will find the optimal locations
of new VMs based on these policies and communicate with the cloud management
system of that cloud. The platform will have drivers for 3 or 4 most popular cloud
management systems, such as, OpenStack, Amazon’s EC2, Google Cloud and network
management systems, such as OpenDaylight. The architecture will be extensible so that
new managements systems can be easily added. The final outcome will be a multi-cloud
test bed with demonstration of the results.
Team:
Lead PI: Raj Jain,
Co-Lead PI: Dr. Aiman Erbad
PI: Dr. Mohammed Samaka
PI:sDr. Deval Bhamare,
Intercloud WAN Delivery Platform for distributed Business
Applications
Department Research
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