Proximity-Aware Traffic Routing in Distributed Fog Computing Platforms

被引:16
作者
Fahs, Ali J. [1 ]
Pierre, Guillaume [1 ]
机构
[1] Univ Rennes, INRIA, CNRS, IRISA, Rennes, France
来源
2019 19TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID) | 2019年
关键词
Fog Computing; Proximity-Awareness; Load-Balancing; Kubernetes;
D O I
10.1109/CCGRID.2019.00062
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Container orchestration engines such as Kubernetes do not take into account the geographical location of application replicas when deciding which replica should handle which request. This makes them ill-suited to act as a general-purpose fog computing platforms where the proximity between end users and the replica serving them is essential. We present proxy-mity, a proximity-aware traffic routing system for distributed fog computing platforms. It seamlessly integrates in Kubernetes, and provides very simple control mechanisms to allow system administrators to address the necessary trade-off between reducing the user-to-replica latencies and balancing the load equally across replicas. proxy-mity is very lightweight and it can reduce average user-to-replica latencies by as much as 90% while allowing the system administrators to control the level of load imbalance in their system.
引用
收藏
页码:478 / 487
页数:10
相关论文
共 21 条
  • [1] [Anonymous], 2014, BIG DATA INTERNET TH
  • [2] [Anonymous], 2015, CMUCS15123
  • [3] Beraldi R., 2017, P C FOG MOB EDG COMP
  • [4] Dabek F., 2004, P ACM SIGCOMM C
  • [5] Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption
    Deng, Ruilong
    Lu, Rongxing
    Lai, Chengzhe
    Luan, Tom H.
    Liang, Hao
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2016, 3 (06): : 1171 - 1181
  • [6] Docker Inc, 2019, P IEEE EDGE
  • [7] Toward Low-Latency and Ultra-Reliable Virtual Reality
    Elbamby, Mohammed S.
    Perfecto, Cristina
    Bennis, Mehdi
    Doppler, Klaus
    [J]. IEEE NETWORK, 2018, 32 (02): : 78 - 84
  • [8] Fan Qiang., 2018, IEEE Trans. on Network Science and Eng.
  • [9] Understanding the Performance of Low Power Raspberry Pi Cloud for Big Data
    Hajji, Wajdi
    Tso, Fung Po
    [J]. ELECTRONICS, 2016, 5 (02)
  • [10] HashiCorp, SERF DEC CLUST MEMB