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  1. Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking (CAN '16)
  2. How Close to the Edge?: Delay/Utilization Trends in MEC
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AggFlow: Scalable and Efficient Network Address Virtualization on Software Defined Networking
CleanG: A Clean-Slate EPC Architecture and ControlPlane Protocol for Next Generation Cellular Networks
Personal Data Management with the Databox: What's Inside the Box?
Understanding the Performance and Bottlenecks of Cloud-Routed Overlay Networks: A Case Study
How Close to the Edge?: Delay/Utilization Trends in MEC
Securebox: Toward Safer and Smarter IoT Networks
Architecting Multimedia Conferencing Service using SDN
Profiling and Grouping Users to Edge Resources According to User Interest Similarity
SecuSpot: Toward Cloud-Assisted Secure Multi-Tenant WiFi HotSpot Infrastructures
A Dynamic Programming Algorithm for Joint VNF Placement and Chaining
A First Look at Bugs in OpenStack
Hybrid Cloud Integration of Routing Control & Data Planes

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How Close to the Edge?: Delay/Utilization Trends in MEC

Content Provider ACM Digital Library
Author Malandrino, Francesco Chiasserini, Carla-Fabiana Kirkpatrick, Scott
Abstract Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind of processing, normally performed at cloud servers. A recent thrust, mobile edge computing, moves such processing to servers within the cellular mobile network. The large temporal and spatial variations to which mobile data usage is subject could make the reduced latency that edge clouds offer come at an unacceptable cost in redundant and underutilized infrastructure. We present some first empirical results on this question, based on large scale sampled crowd-sourced traces from several major cities spanning multiple operators and identifying the applications in use. We find opportunities to obtain both high server utilization and low application latency, but the best approaches will depend on the individual network operator's deployment strategy and geographic specifics of the cities we study.
Starting Page 37
Ending Page 42
Page Count 6
File Format PDF
ISBN 9781450346733
DOI 10.1145/3010079.3010080
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-12-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Mobile edge computing Real-world traces
Content Type Text
Resource Type Article
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