The great expectations of smartphone traffic scheduling

Vilen Looga, Zhonghong Ou, Yu Xiao, Antti Ylä-Jääski

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Utilizing network traffic scheduling to improve the energy efficiency of smartphones has been studied extensively in the past few years. These studies usually take certain approaches and make some assumptions concerning traffic predictability, regardless of whether these assumptions hold or whether the approaches have been studied before. In this paper, we conduct an analysis of existing work to find common approaches and assumptions among the proposed solutions. We find out the following: 1. A large part of the solutions target a specific (single) application or category of applications, and do not schedule the whole traffic transmitted on the smartphone. 2. A common assumption is that network traffic for smart phones is predictable. The focus of our work is to test these assumptions against real-world data and analyze whether the approaches presented in the literature are feasible. By leveraging two data sets from NetSense, we make several major contributions: 1. We demonstrate clearly, based on a large dataset, that background apps are the largest energy consumers for smart phones. 2. although some traffic traces exhibit long-Term trends, in general traffic from a single app or a user is not predictable in the short-Term. 3. achieving energy savings is difficult by scheduling traffic only from a specific app, since multi-App scenarios are so prevalent on today's smartphones. We also pinpoint future directions for traffic scheduling schemes.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computers and Communications
PublisherIEEE
Pages828-834
Number of pages7
Volume2016-February
ISBN (Electronic)978-1-4673-7195-7
ISBN (Print)9781467371940
DOIs
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
EventIEEE Symposium on Computers and Communication - Larnaca, Cyprus
Duration: 6 Jul 20159 Jul 2015
Conference number: 20

Conference

ConferenceIEEE Symposium on Computers and Communication
Abbreviated titleISCC
CountryCyprus
CityLarnaca
Period06/07/201509/07/2015

Keywords

  • Computers
  • Correlation
  • Energy consumption
  • IEEE 802.11 Standard
  • Job shop scheduling
  • Processor scheduling

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