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Volumn , Issue , 2013, Pages 1335-1339

Empowering Software Defined Network controller with packet-level information

Author keywords

[No Author keywords available]

Indexed keywords

DATA PLANES; INTER-ARRIVAL TIME; LINE RATE; NETWORK MONITORING; OPENFLOW; PACKET CONTENTS; PACKET LEVEL; SOFTWARE-DEFINED NETWORKS;

EID: 84890886075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCW.2013.6649444     Document Type: Conference Paper
Times cited : (15)

References (12)
  • 1
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    • Fabric: A restrospective on evolving SDN
    • Casado, M., et al. 2012. Fabric: A Restrospective on Evolving SDN. In HotSDN 2012.
    • (2012) HotSDN 2012
    • Casado, M.1
  • 2
    • 84996432988 scopus 로고    scopus 로고
    • Design and implementation of a consolidated middlebox architecture
    • Sekar, V., et al. 2012. Design and implementation of a consolidated middlebox architecture. In NSDI'12. 323-336.
    • (2012) NSDI'12 , pp. 323-336
    • Sekar, V.1
  • 3
    • 14844312929 scopus 로고    scopus 로고
    • Experiences with highvolume network intrusion detection
    • Operational
    • Dreger, H., et al. 2004. Operational experiences with highvolume network intrusion detection. In CCS '04. 2-11.
    • (2004) CCS '04 , pp. 2-11
    • Dreger, H.1
  • 4
    • 80053141664 scopus 로고    scopus 로고
    • DevoFlow: Scaling flow management for high-performance networks
    • Curtis, A.R., et al. 2011. DevoFlow: scaling flow management for high-performance networks. In SIGCOMM'11. 254-265.
    • (2011) SIGCOMM'11 , pp. 254-265
    • Curtis, A.R.1
  • 5
    • 78650919030 scopus 로고    scopus 로고
    • Network traffic characteristics of data centers in the wild
    • Benson, T., et al. 2010. Network traffic characteristics of data centers in the wild. In IMC '10. 267-280.
    • (2010) IMC '10 , pp. 267-280
    • Benson, T.1
  • 6
    • 85015466003 scopus 로고    scopus 로고
    • Hedera: Dynamic flow scheduling for data center networks
    • Al-Fares, M., et al. 2010. Hedera: dynamic flow scheduling for data center networks. In NSDI'10.
    • (2010) NSDI'10
    • Al-Fares, M.1
  • 7
    • 33144477616 scopus 로고    scopus 로고
    • Inverting sampled traffic
    • Hohn, N., and Veitch, D. 2006. Inverting sampled traffic. IEEE/ACM Trans. Netw. 14(1). 68-80.
    • (2006) IEEE/ACM Trans. Netw. , vol.14 , Issue.1 , pp. 68-80
    • Hohn, N.1    Veitch, D.2
  • 8
    • 77956377864 scopus 로고    scopus 로고
    • A scalable, efficient and informative approach for anomaly-based intrusion detection systems: Theory and practice
    • Salem, O., et al. 2010. A scalable, efficient and informative approach for anomaly-based intrusion detection systems: theory and practice. Int. J. Netw. Manag. 20(5). 271-293.
    • (2010) Int. J. Netw. Manag. , vol.20 , Issue.5 , pp. 271-293
    • Salem, O.1
  • 9
    • 79951953241 scopus 로고    scopus 로고
    • ProgME:towards programmable network measurement
    • Yuan, L., et al. 2011.ProgME:towards programmable network measurement. IEEE/ACM Trans. Netw. 19(1).115-128.
    • (2011) IEEE/ACM Trans. Netw. , vol.19 , Issue.1 , pp. 115-128
    • Yuan, L.1
  • 10
    • 84889710187 scopus 로고    scopus 로고
    • Online measurement of large traffic aggregates on commodity switches
    • Paper 13
    • Jose, L., Yu, M., and Rexford, J. 2011. Online measurement of large traffic aggregates on commodity switches. In Hot-ICE'11. Paper 13.
    • (2011) Hot-ICE'11
    • Jose, L.1    Yu, M.2    Rexford, J.3
  • 11
    • 78650696546 scopus 로고    scopus 로고
    • Understanding data center traffic characteristics
    • Benson, T., et al. 2010. Understanding data center traffic characteristics. SIGCOMM CCR. 40(1). 92-99.
    • (2010) SIGCOMM CCR , vol.40 , Issue.1 , pp. 92-99
    • Benson, T.1
  • 12
    • 78149289400 scopus 로고    scopus 로고
    • The nature of data center traffic: Measurements & analysis
    • Kandula, S., et al. 2009. The nature of data center traffic: measurements & analysis. In IMC '09. 202-208.
    • (2009) IMC '09 , pp. 202-208
    • Kandula, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.