RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCIE SCOPUS

      Collaborative Attributes and Resources for Single-Stage Virtual Network Mapping in Network Virtualization

      한글로보기

      https://www.riss.kr/link?id=A107280917

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Virtual network embedding (VNE) is the virtualized nodeand link resources allocation problem in network virtualization environment,aiming at achieving the simultaneous optimal node andlink mapping assignment per VN. Currently, a large number ofmapping...

      Virtual network embedding (VNE) is the virtualized nodeand link resources allocation problem in network virtualization environment,aiming at achieving the simultaneous optimal node andlink mapping assignment per VN. Currently, a large number ofmapping algorithms for VNE exist in the academia. Existing algorithmsmostly focus on mapping each virtual network (VN) intwo ordered stages: First virtual node mapping stage and secondvirtual link mapping stage, leading to non-optimal VN mappingassignment. Though multiple one-stage algorithms exist, adoptingeither optimization theory or graph theory, they usually involvemuch more VN assignment calculation time. Hence, theseone-stage algorithms are not suitable for dynamic network scenario.
      Not to mention practical VNE application. Based on thebackground and our gained research results, we propose anotherheuristic mapping algorithm VNE-ARS, completing all nodes andlinks per VN in one single embedding stage. Each VN embeddingassignment can be completed in polynomial time, using ourVNE-ARS. Main network attributes and resources are collaborated,serving as the mapping criterion of our VNE-ARS. In orderto highlight our VNE-ARS strength, we conduct the evaluation experiments.
      We compare our VNE-ARS algorithm against existingmapping algorithms.

      더보기

      참고문헌 (Reference)

      1 A. Fischer, "Virtual network embedding: A survey" 15 (15): 1888-1906, 2013

      2 X. Cheng, "Virtual network embedding through topology-aware node ranking" 41 (41): 38-47, 2011

      3 P. Zhang, "Virtual network embedding based on the degree and clustering coefficient information" 4 : 8572-8580, 2016

      4 M. Feng, "Topology-aware virtual network embedding based on multiple characteristics" 2956-2962, 2014

      5 L. Freeman, "The development of social network analysis" Empirical Press Vancouver 2004

      6 "Simulation Platform for Scotfield Cao"

      7 L. Gong, "Revenue-driven virtual network embedding based on global resource information" 2294-2299, 2013

      8 A. Belbekkouche, "Resource discovery and allocation in network virtualization" 14 (14): 1114-1128, 2012

      9 H. Cao, "Novel node-ranking approach and multiple topology attributes-based embedding algorithm for single-domain virtual network embedding" 5 (5): 108-120, 2018

      10 L. Gong, "Novel location-constrained virtual network embedding (LC-VNE) algorithms towards integrated node and link mapping" 24 (24): 3648-3661, 2016

      1 A. Fischer, "Virtual network embedding: A survey" 15 (15): 1888-1906, 2013

      2 X. Cheng, "Virtual network embedding through topology-aware node ranking" 41 (41): 38-47, 2011

      3 P. Zhang, "Virtual network embedding based on the degree and clustering coefficient information" 4 : 8572-8580, 2016

      4 M. Feng, "Topology-aware virtual network embedding based on multiple characteristics" 2956-2962, 2014

      5 L. Freeman, "The development of social network analysis" Empirical Press Vancouver 2004

      6 "Simulation Platform for Scotfield Cao"

      7 L. Gong, "Revenue-driven virtual network embedding based on global resource information" 2294-2299, 2013

      8 A. Belbekkouche, "Resource discovery and allocation in network virtualization" 14 (14): 1114-1128, 2012

      9 H. Cao, "Novel node-ranking approach and multiple topology attributes-based embedding algorithm for single-domain virtual network embedding" 5 (5): 108-120, 2018

      10 L. Gong, "Novel location-constrained virtual network embedding (LC-VNE) algorithms towards integrated node and link mapping" 24 (24): 3648-3661, 2016

      11 H. Cao, "New Functions added to ALEVIN for evaluating virtual network embedding" 2411-2414, 2016

      12 R. Jain, "Network virtualization and software defined networking for cloud computing: A survey" 51 (51): 24-31, 2013

      13 G. Golub, "Matrix Computations (Johns Hopkins studies in Mathematical Sciences)" Johns Hopkins University Press 1996

      14 T. H. Cormen, "Introduction to Algorithms" McGraw-Hill Higher Education 2001

      15 H. Cao, "Heuristic solutions of virtual network embedding: A survey" 15 (15): 186-219, 2018

      16 H. Cao, "Exact solutions of VNE: A survey" 13 (13): 48-62, 2016

      17 J. Zhang, "Dynamic virtual network embedding over multilayer optical networks" 7 (7): 918-927, 2015

      18 M. Lu, "Collaborative dynamic virtual network embedding algorithm based on resource importance measures" 6 (6): 55026-55042, 2018

      19 J. Lischka, "A virtual network embedding algorithm based on subgraph isomorphism detection" 81-88, 2009

      20 Z. Li, "A self-adaptive virtual network embedding algorithm based on software-defined networks" 16 (16): 362-373, 2019

      21 H. Cao, "A novel optimal mapping algorithm with less computational complexity for virtual network embedding" 15 (15): 356-371, 2018

      22 H. Cao, "A efficient mapping algorithm with novel node- ranking approach for embedding virtual network" 5 : 22054-22066, 2017

      23 G. Sun, "A cost efficient framework and algorithm for embedding dynamic virtual network requests" 29 (29): 1267-1277, 2013

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2005-01-01 평가 SCI 등재 (등재후보1차) KCI등재
      2004-01-01 평가 등재후보학술지 유지 (등재후보2차) KCI등재후보
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2001-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.74 0.09 0.53
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.42 0.34 0.264 0.02
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼