SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:ltu-75825"
 

Sökning: id:"swepub:oai:DiVA.org:ltu-75825" > Low-latency and Res...

Low-latency and Resource-efficient Service Function Chaining Orchestration in Network Function Virtualization

Sun, Gang (författare)
Key Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China
Xu, Zhu (författare)
Key Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China
Yu, Hongfang (författare)
Key Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China
visa fler...
Chen, Xi (författare)
School of Computer Science and Technology, Southwest Minzu University, Chengdu, China
Chang, Victor (författare)
School of Computing & Digital Technologies, Teesside University, Middlesbrough, UK
Vasilakos, Athanasios (författare)
Luleå tekniska universitet,Datavetenskap
visa färre...
 (creator_code:org_t)
IEEE, 2020
2020
Engelska.
Ingår i: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 7:7, s. 5760-5772
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Recently, network function virtualization (NFV) has been proposed to solve the dilemma faced by traditional networks and to improve network performance through hardware and software decoupling. The deployment of the service function chain (SFC) is a key technology that affects the performance of virtual network function (VNF). The key issue in the deployment of SFCs is proposing effective algorithms to achieve efficient use of resources. In this paper, we propose a service function chain deployment optimization (SFCDO) algorithm based on a breadth-first search (BFS). The algorithm first uses a BFS based algorithm to find the shortest path between the source node and the destination node. Then, based on the shortest path, the path with the fewest hops is preferentially chosen to implement the SFC deployment. Finally, we compare the performances with the greedy and simulated annealing (G-SA) algorithm. The experiment results show that the proposed algorithm is optimized in terms of end-to-end delay and bandwidth resource consumption. In addition, we also consider the load rate of the nodes to achieve network load balancing.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)

Nyckelord

Network function virtualization
Service function chain
End-to-end delay
Resource consumption
Pervasive Mobile Computing
Distribuerade datorsystem

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy