Performance Evaluation of In-Packet Membership Querying Algorithm for Large-Scale Networks

被引:1
作者
Zheng, Yun [1 ]
Jia, Wen-Kang [1 ]
Wu, Yi [1 ]
机构
[1] Fujian Normal Univ, Coll Photon & Elect Engn, Fuzhou, Fujian, Peoples R China
来源
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年
基金
中国国家自然科学基金;
关键词
Membership Querying Algorithm; Multi cast; Stateless; COXcast; LIPSIN; Chinese Remainder Theorem (CRT); Bloom Filter (BF); BLOOM FILTERS; MULTICAST; ARCHITECTURE;
D O I
10.1109/SmartWorld.2018.00284
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The membership querying algorithm provides a key component of any network routing and forwarding schemes that successful source in-packet multicast forwarding protocols. Source multicast forwarding protocols (a.k a., stateless multicast routing) such as Code-Oriented eXplicit multicast (COXcast) which based on Chinese Remainder Theorem (CRT), and Line Speed Publish/ Subscribe Inter-Networking (LIPSIN) which based on Bloom Filter (BF), were both proposed recently as alternatives to retain advantages of traditional multicast while eliminating their shortcomings especially for small-group applications in IP networks. Most of these protocols avoid the routing state in intermediate routers and leave the burden of scalability management to the multicast source and end-hosts. However, they still have some drawbacks especially in the group size limitation. This paper is subjected to the two prominent and popular source multicast routing protocols COXcast and LIPSIN, with identical conditions and evaluates their relative performance with respect to the two performance metrics: space and time efficiency. From the detailed comparative results and analysis with various simulation scenarios, a suitable in-packet multicast routing protocol can be chosen for specified network environments and service goals.
引用
收藏
页码:1668 / 1675
页数:8
相关论文
共 50 条
[21]   Investigation of the large-scale functional brain networks modulated by acupuncture [J].
Feng, Yuanyuan ;
Bai, Lijun ;
Ren, Yanshuang ;
Wang, Hu ;
Liu, Zhenyu ;
Zhang, Wensheng ;
Tian, Jie .
MAGNETIC RESONANCE IMAGING, 2011, 29 (07) :958-965
[22]   Reconfiguration patterns of large-scale brain networks in motor imagery [J].
Zhang, Tao ;
Wang, Fei ;
Li, Mengchen ;
Li, Fali ;
Tan, Ying ;
Zhang, Yangsong ;
Yang, Hang ;
Biswal, Bharat ;
Yao, Dezhong ;
Xu, Peng .
BRAIN STRUCTURE & FUNCTION, 2019, 224 (02) :553-566
[23]   A Small-Footprint Accelerator for Large-Scale Neural Networks [J].
Chen, Tianshi ;
Zhang, Shijin ;
Liu, Shaoli ;
Du, Zidong ;
Luo, Tao ;
Gao, Yuan ;
Liu, Junjie ;
Wang, Dongsheng ;
Wu, Chengyong ;
Sun, Ninghui ;
Chen, Yunji ;
Temam, Olivier .
ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2015, 33 (02)
[24]   Joint and Competitive Caching Designs in Large-Scale Multi-Tier Wireless Multicasting Networks [J].
Wang, Zitian ;
Cao, Zhehan ;
Cui, Ying ;
Yang, Yang .
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,
[25]   Joint and Competitive Caching Designs in Large-Scale Multi-Tier Wireless Multicasting Networks [J].
Cui, Ying ;
Wang, Zitian ;
Yang, Yang ;
Yang, Feng ;
Ding, Lianghui ;
Qian, Liang .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2018, 66 (07) :3108-3121
[26]   Analysis and Optimization of Caching and Multicasting for Multi-Quality Videos in Large-Scale Wireless Networks [J].
Jiang, Dongdong ;
Cui, Ying .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (07) :4913-4927
[27]   Analysis and Optimization of Caching and Multicasting in Large-Scale Cache-Enabled Heterogeneous Wireless Networks [J].
Cui, Ying ;
Jiang, Dongdong .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2017, 16 (01) :250-264
[28]   Towards the Quantum Internet: Generalised Quantum Network Coding for Large-Scale Quantum Communication Networks [J].
Hung Viet Nguyen ;
Babar, Zunaira ;
Alanis, Dimitrios ;
Botsinis, Panagiotis ;
Chandra, Daryus ;
Izhar, Mohd Azri Mohd ;
Ng, Soon Xin ;
Hanzo, Lajos .
IEEE ACCESS, 2017, 5 :17288-17308
[29]   Ising-like dynamics in large-scale functional brain networks [J].
Fraiman, Daniel ;
Balenzuela, Pablo ;
Foss, Jennifer ;
Chialvo, Dante R. .
PHYSICAL REVIEW E, 2009, 79 (06)
[30]   A high performance framework for modeling and simulation of large-scale complex systems [J].
Zhu, Feng ;
Yao, Yiping ;
Tang, Wenjie ;
Chen, Dan .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2015, 51 :132-141