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NeTS: Small: Network Function Virtualization Using Dynamic Reconfiguration

NeTS: Small: Network Function Virtualization Using Dynamic Reconfiguration
NeTS:小型:使用动态重新配置的网络功能虚拟化
批准号:
1525836
负责人:
Russell Tessier
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-10-01 至 2019-09-30

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中文摘要
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英文摘要
Over the past decade, a wide-ranging collection of network functions have been used to accommodate the needs of network users. A diverse set of network functions, including firewalls, security filters, and quality of service enhancers have been implemented using increasingly complex techniques. These functions are used to support predictable, high performance in data and multimedia network environments. To promote flexibility, there has been recent interest in replacing dedicated network hardware with programmable network functions. This approach, called network function virtualization (NFV), allows for the rapid adaptation of network services as security and performance requirements change. NFV allows network administrators to support different network policies by using appropriate programmable network functions on demand.In this project, a new hardware-based approach to NFV construction that provides scalability and programmability, while supporting significant hardware-level parallelism, will be developed. The computing platform will use a field-programmable gate array (FPGA) to implement numerous NFV operations that can be customized to specific network flow needs. As the number of required functions and their characteristics change, the hardware in the FPGA can be reconfigured to support the updated requirements. The management of the deployed classifiers and traffic management functions will be performed by a resource manager which is executed on an accompanying microprocessor. The researchers will create a series of software tools and hardware modules to evaluate the approach, Architectural resources will be managed by a new resource allocation algorithm that will allow for the effective use of the available FPGA area under NFV performance constraints. This algorithm will run periodically to allow for dynamic rebalancing of FPGA resources. Broader Impact: Two specific programs to broaden the impact of the work will be developed. These efforts will include a new undergraduate curriculum in network function virtualization focused on scalable real-world systems and a student-run research workshop which will allow students to present their work. FPGA and networking companies will be encouraged to use this technology in new product development.
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