Abstract
The introduction of computational resources at the network edge has moved us from a Client-Server model to a Client-Edge-Server model. By offloading computation from clients and/or servers, this approach can reduce response latency, backbone bandwidth, and computational requirements on clients. While this is an attractive paradigm for many applications, particularly 5G mobile networks and IoT devices, it raises the question of how one can design such a client-edge-server system to tolerate edge failures and client mobility. The key challenge is to ensure correctness when the edge processing is stateful (so the processing depends on state it has previously seen from the client and/or server). In this paper we propose an initial design for meeting this challenge called Client-Edge-Server for Stateful Network Applications (CESSNA).
| Original language | English (US) |
|---|---|
| Title of host publication | MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018 |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450359061 |
| DOIs | |
| State | Published - Aug 7 2018 |
| Event | 2nd Workshop on Mobile Edge Communications, MECOMM 2018, in conjunction with ACM SIGCOMM 2018 - Budapest, Hungary Duration: Aug 20 2018 → … |
Other
| Other | 2nd Workshop on Mobile Edge Communications, MECOMM 2018, in conjunction with ACM SIGCOMM 2018 |
|---|---|
| Country | Hungary |
| City | Budapest |
| Period | 8/20/18 → … |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Computer Networks and Communications
Cite this
CESSNA : Resilient edge-computing. / Harchol, Yotam; Mushtaq, Aisha; McCauley, James; Panda, Aurojit; Shenker, Scott.
MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018. Association for Computing Machinery, Inc, 2018. p. 1-6.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - CESSNA
T2 - Resilient edge-computing
AU - Harchol, Yotam
AU - Mushtaq, Aisha
AU - McCauley, James
AU - Panda, Aurojit
AU - Shenker, Scott
PY - 2018/8/7
Y1 - 2018/8/7
N2 - The introduction of computational resources at the network edge has moved us from a Client-Server model to a Client-Edge-Server model. By offloading computation from clients and/or servers, this approach can reduce response latency, backbone bandwidth, and computational requirements on clients. While this is an attractive paradigm for many applications, particularly 5G mobile networks and IoT devices, it raises the question of how one can design such a client-edge-server system to tolerate edge failures and client mobility. The key challenge is to ensure correctness when the edge processing is stateful (so the processing depends on state it has previously seen from the client and/or server). In this paper we propose an initial design for meeting this challenge called Client-Edge-Server for Stateful Network Applications (CESSNA).
AB - The introduction of computational resources at the network edge has moved us from a Client-Server model to a Client-Edge-Server model. By offloading computation from clients and/or servers, this approach can reduce response latency, backbone bandwidth, and computational requirements on clients. While this is an attractive paradigm for many applications, particularly 5G mobile networks and IoT devices, it raises the question of how one can design such a client-edge-server system to tolerate edge failures and client mobility. The key challenge is to ensure correctness when the edge processing is stateful (so the processing depends on state it has previously seen from the client and/or server). In this paper we propose an initial design for meeting this challenge called Client-Edge-Server for Stateful Network Applications (CESSNA).
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U2 - 10.1145/3229556.3229558
DO - 10.1145/3229556.3229558
M3 - Conference contribution
SP - 1
EP - 6
BT - MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018
PB - Association for Computing Machinery, Inc
ER -