research-article

Multi-stage stochastic programming for service placement in edge computing systems: poster

Authors:

Hossein Badri,

Tayebeh Bahreini,

Daniel Grosu,

Kai YangAuthors Info & Claims

SEC '17: Proceedings of the Second ACM/IEEE Symposium on Edge Computing

Article No.: 28, Pages 1 - 2

https://doi.org/10.1145/3132211.3132461

Published: 12 October 2017 Publication History

Get Access

Abstract

Efficient service placement of mobile applications on the edge servers is one of the main challenges in Mobile Edge Computing (MEC). The service placement problem in MEC has to consider several issues that were not present in the data-center settings. After the initial service placement, mobile users may move to different locations which may increase the execution time or the cost of running the applications. In addition to this, the resource availability of servers may change over time. Therefore, an efficient service placement algorithm must be adaptive to this dynamic setting.

References

[1]

S. Ahmed, A. Shapiro, and E. Shapiro. The sample average approximation method for stochastic programs with integer recourse. ISyE Technical Report, Georgia Institute of Technology, pages 1--24, 2002.

Google Scholar

[2]

A. Ksentini, T. Taleb, and M. Chen. A markov decision process-based service migration procedure for follow me cloud. In Proc. IEEE International Conference on Communications, pages 1350--1354, 2014.

Crossref

Google Scholar

Cited By

View all

Lu SYao YLuo BYu ZLi DShi W(2022)EdgeWare: toward extensible and flexible middleware for connected vehicle servicesCCF Transactions on High Performance Computing10.1007/s42514-022-00100-44:3(339-356)Online publication date: 9-May-2022
https://doi.org/10.1007/s42514-022-00100-4
Brito CRodrigues LSantos BFé INguyen TMin DLee JSilva F(2021)Stochastic Model Driven Performance and Availability Planning for a Mobile Edge Computing SystemApplied Sciences10.3390/app1109408811:9(4088)Online publication date: 29-Apr-2021
https://doi.org/10.3390/app11094088
Carvalho DRodrigues LTakako Endo PKosta SAirton Silva F(2020)Mobile Edge Computing Performance Evaluation using Stochastic Petri Nets2020 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC50000.2020.9219650(1-6)Online publication date: Jul-2020
https://doi.org/10.1109/ISCC50000.2020.9219650
Show More Cited By

Recommendations

An Overview of Service Placement Problem in Fog and Edge Computing

To support the large and various applications generated by the Internet of Things (IoT), Fog Computing was introduced to complement the Cloud Computing and offer Cloud-like services at the edge of the network with low latency and real-time responses. ...
Efficient placement of multi-component applications in edge computing systems
SEC '17: Proceedings of the Second ACM/IEEE Symposium on Edge Computing

Mobile Edge Computing (MEC) is a new paradigm which has been introduced to solve the inefficiencies of mobile cloud computing technologies. The key idea behind MEC is to enhance the capabilities of mobile devices by forwarding the computation of ...
Supporting Multi-Provider Serverless Computing on the Edge
ICPP Workshops '18: Workshop Proceedings of the 47th International Conference on Parallel Processing

Serverless computing has recently emerged as a new execution model for cloud computing, in which service providers offer compute runtimes, also known as Function-as-a-Service (FaaS) platforms, allowing users to develop, execute and manage application ...

Comments

Information & Contributors

Information

Published In

SEC '17: Proceedings of the Second ACM/IEEE Symposium on Edge Computing

October 2017

365 pages

ISBN:9781450350877

DOI:10.1145/3132211

General Chair:
Junshan Zhang
Arizona State University
,
Program Chairs:
Mung Chiang
Purdue University and Princeton Edge Lab
,
Bruce Maggs
Akamai/Duke University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 October 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Conference

SEC '17

Sponsor:

SIGMOBILE
IEEE-CS\DATC

SEC '17: IEEE/ACM Symposium on Edge Computing

October 12 - 14, 2017

California, San Jose

Acceptance Rates

SEC '17 Paper Acceptance Rate 20 of 41 submissions, 49%;

Overall Acceptance Rate 40 of 100 submissions, 40%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
193
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)1

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Lu SYao YLuo BYu ZLi DShi W(2022)EdgeWare: toward extensible and flexible middleware for connected vehicle servicesCCF Transactions on High Performance Computing10.1007/s42514-022-00100-44:3(339-356)Online publication date: 9-May-2022
https://doi.org/10.1007/s42514-022-00100-4
Brito CRodrigues LSantos BFé INguyen TMin DLee JSilva F(2021)Stochastic Model Driven Performance and Availability Planning for a Mobile Edge Computing SystemApplied Sciences10.3390/app1109408811:9(4088)Online publication date: 29-Apr-2021
https://doi.org/10.3390/app11094088
Carvalho DRodrigues LTakako Endo PKosta SAirton Silva F(2020)Mobile Edge Computing Performance Evaluation using Stochastic Petri Nets2020 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC50000.2020.9219650(1-6)Online publication date: Jul-2020
https://doi.org/10.1109/ISCC50000.2020.9219650
Zhao YWang WLi YColman Meixner CTornatore MZhang J(2019)Edge Computing and Networking: A Survey on Infrastructures and ApplicationsIEEE Access10.1109/ACCESS.2019.29275387(101213-101230)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2927538

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Recommendations

An Overview of Service Placement Problem in Fog and Edge Computing

Efficient placement of multi-component applications in edge computing systems

Supporting Multi-Provider Serverless Computing on the Edge

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations