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Network Function Virtualization: State-of-the-Art and Research Challenges

2015· article· en· 1,882 citations· W2260783129 on OpenAlex· 10.1109/comst.2015.2477041

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.222
GPT teacher head0.353
Teacher spread
0.131 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Network function virtualization (NFV) has drawn significant attention from both industry and academia as an important shift in telecommunication service provisioning. By decoupling network functions (NFs) from the physical devices on which they run, NFV has the potential to lead to significant reductions in operating expenses (OPEX) and capital expenses (CAPEX) and facilitate the deployment of new services with increased agility and faster time-to-value. The NFV paradigm is still in its infancy and there is a large spectrum of opportunities for the research community to develop new architectures, systems and applications, and to evaluate alternatives and trade-offs in developing technologies for its successful deployment. In this paper, after discussing NFV and its relationship with complementary fields of software defined networking (SDN) and cloud computing, we survey the state-of-the-art in NFV, and identify promising research directions in this area. We also overview key NFV projects, standardization efforts, early implementations, use cases, and commercial products.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
IEEE Communications Surveys & Tutorials
Topic
Software-Defined Networks and 5G
Field
Computer Science
Canadian institutions
University of Waterloo
Funders
Ministerio de Economía y CompetitividadEuropean Commission
Keywords
Software deploymentProvisioningCloud computingOperating expenseNetwork Functions VirtualizationVirtualizationComputer scienceImplementationFunction (biology)Capital expenditureSoftware-defined networkingStandardizationService (business)TelecommunicationsOperating systemSoftware engineeringBusiness
Has abstract in OpenAlex
yes