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Network Function Virtualization (NFV) and Software-Defined Networking (SDN) are two promising paradigms supporting flexible Service Function Chain (SFC) construction.
We consider a setting in which a flow has to go through a Service Function Chain, that is several network functions in a specific order.
MPI parses each service provisioning policy to a logical policy view, which consists of a pair of logical end nodes, a traffic pattern specification, and a list of required network functions (or a service function chain).
MPI converts each service provisioning policy to its Policy View, which consists of a pair of logical end nodes, a traffic pattern specification, and a list of required network functions (or a service function chain).
Service A service is a network service provisioning between two end nodes with a specified traffic pattern and a service function chain consisting of a set of various network functions.
Policy Parser interprets each policy defined network service to its Policy View (Fig. 3 b), which consists of a pair of logical end nodes, traffic pattern specification, and a list of required network functions (or a service function chain).
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Functions from the library are sequentially inserted into a function chain-based logical structure to construct sophisticated data operators from simple function building blocks, affording ad hoc query and analysis of time-series data.
In this work, we study the problem of deploying service function chains over network function virtualized architecture.
VNFs are then interconnected to form a complete end-to-end service, also known as service function chains (SFCs).
Recently, the concept of Service Function Chaining (SFC) [22] is proposed as a traffic steering technology in directing the traffic flows of network functions.
Service Function Chaining (SFC) is the problem of deploying various network service instances over geographically distributed data centers and providing inter-connectivity among them.
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