E2: a framework for NFV applications
By moving network appliance functionality from propri-etary hardware to software, Network Function Virtualiza-tion promises to bring the advantages of cloud computing to network packet processing. However, the evolution of cloud computing (particularly for data analytics) has greatly bene-fited from application-independent methods for scaling and placement that achieve high efficiency while relieving pro-grammers of these burdens. NFV has no such general man-agement solutions. In this paper, we present a scalable and application-agnostic scheduling framework for packet pro-cessing, and compare its performance to current approaches. 1.