Anveshak: Placing Edge Servers In The Wild

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

Abstract

Edge computing provides an attractive platform for bringing data and processing closer to users in networked environments. Several edge proposals aim to place the edge servers at a couple hop distance from the client to ensure lowest possible compute and network delay. An attractive edge server placement is to co-locate it with existing (cellular) base stations to avoid additional infrastructure establishment costs. However, determining the exact locations for edge servers is an important question that must be resolved
for optimal placement. In this paper, we present Anveshak, a framework that solves the problem of placing edge servers in a geographical topology and provides the optimal solution for edge providers. Our proposed solution considers both end-user application requirements as well as deployment and operating costs incurred by edge platform providers. The placement optimization metric of Anveshak considers the request pattern of users and existing user-established edge servers. In our evaluation based on real datasets, we show that Anveshak achieves 67% increase in user satisfaction while maintaining high server utilization.
Original languageEnglish
Title of host publicationProceedings of the 2018 Workshop on Mobile Edge Communications : Co-located with ACM SIGCOMM 2018
Number of pages6
PublisherACM
Publication date11 Aug 2018
Pages7-12
ISBN (Electronic)978-1-4503-5906-1
DOIs
Publication statusPublished - 11 Aug 2018
MoE publication typeA4 Article in conference proceedings
EventACM SIGCOMM 2018 - Intercontinental hotel, Budapest, Hungary
Duration: 20 Aug 201825 Aug 2018
http://conferences.sigcomm.org/sigcomm/2018/

Fields of Science

  • 113 Computer and information sciences

Cite this

Mohan, N., Zavodovski, A., Zhou, P., & Kangasharju, J. (2018). Anveshak: Placing Edge Servers In The Wild. In Proceedings of the 2018 Workshop on Mobile Edge Communications: Co-located with ACM SIGCOMM 2018 (pp. 7-12). ACM. https://doi.org/10.1145/3229556.3229560
Mohan, Nitinder ; Zavodovski, Aleksandr ; Zhou, Pengyuan ; Kangasharju, Jussi. / Anveshak: Placing Edge Servers In The Wild. Proceedings of the 2018 Workshop on Mobile Edge Communications: Co-located with ACM SIGCOMM 2018. ACM, 2018. pp. 7-12
@inproceedings{9789a4af9ae5483cbe3ff5e6d8dc782c,
title = "Anveshak: Placing Edge Servers In The Wild",
abstract = "Edge computing provides an attractive platform for bringing data and processing closer to users in networked environments. Several edge proposals aim to place the edge servers at a couple hop distance from the client to ensure lowest possible compute and network delay. An attractive edge server placement is to co-locate it with existing (cellular) base stations to avoid additional infrastructure establishment costs. However, determining the exact locations for edge servers is an important question that must be resolvedfor optimal placement. In this paper, we present Anveshak, a framework that solves the problem of placing edge servers in a geographical topology and provides the optimal solution for edge providers. Our proposed solution considers both end-user application requirements as well as deployment and operating costs incurred by edge platform providers. The placement optimization metric of Anveshak considers the request pattern of users and existing user-established edge servers. In our evaluation based on real datasets, we show that Anveshak achieves 67{\%} increase in user satisfaction while maintaining high server utilization.",
keywords = "113 Computer and information sciences",
author = "Nitinder Mohan and Aleksandr Zavodovski and Pengyuan Zhou and Jussi Kangasharju",
year = "2018",
month = "8",
day = "11",
doi = "10.1145/3229556.3229560",
language = "English",
pages = "7--12",
booktitle = "Proceedings of the 2018 Workshop on Mobile Edge Communications",
publisher = "ACM",
address = "United States",

}

Mohan, N, Zavodovski, A, Zhou, P & Kangasharju, J 2018, Anveshak: Placing Edge Servers In The Wild. in Proceedings of the 2018 Workshop on Mobile Edge Communications: Co-located with ACM SIGCOMM 2018. ACM, pp. 7-12, ACM SIGCOMM 2018, Budapest, Hungary, 20/08/2018. https://doi.org/10.1145/3229556.3229560

Anveshak: Placing Edge Servers In The Wild. / Mohan, Nitinder; Zavodovski, Aleksandr; Zhou, Pengyuan; Kangasharju, Jussi.

Proceedings of the 2018 Workshop on Mobile Edge Communications: Co-located with ACM SIGCOMM 2018. ACM, 2018. p. 7-12.

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

TY - GEN

T1 - Anveshak: Placing Edge Servers In The Wild

AU - Mohan, Nitinder

AU - Zavodovski, Aleksandr

AU - Zhou, Pengyuan

AU - Kangasharju, Jussi

PY - 2018/8/11

Y1 - 2018/8/11

N2 - Edge computing provides an attractive platform for bringing data and processing closer to users in networked environments. Several edge proposals aim to place the edge servers at a couple hop distance from the client to ensure lowest possible compute and network delay. An attractive edge server placement is to co-locate it with existing (cellular) base stations to avoid additional infrastructure establishment costs. However, determining the exact locations for edge servers is an important question that must be resolvedfor optimal placement. In this paper, we present Anveshak, a framework that solves the problem of placing edge servers in a geographical topology and provides the optimal solution for edge providers. Our proposed solution considers both end-user application requirements as well as deployment and operating costs incurred by edge platform providers. The placement optimization metric of Anveshak considers the request pattern of users and existing user-established edge servers. In our evaluation based on real datasets, we show that Anveshak achieves 67% increase in user satisfaction while maintaining high server utilization.

AB - Edge computing provides an attractive platform for bringing data and processing closer to users in networked environments. Several edge proposals aim to place the edge servers at a couple hop distance from the client to ensure lowest possible compute and network delay. An attractive edge server placement is to co-locate it with existing (cellular) base stations to avoid additional infrastructure establishment costs. However, determining the exact locations for edge servers is an important question that must be resolvedfor optimal placement. In this paper, we present Anveshak, a framework that solves the problem of placing edge servers in a geographical topology and provides the optimal solution for edge providers. Our proposed solution considers both end-user application requirements as well as deployment and operating costs incurred by edge platform providers. The placement optimization metric of Anveshak considers the request pattern of users and existing user-established edge servers. In our evaluation based on real datasets, we show that Anveshak achieves 67% increase in user satisfaction while maintaining high server utilization.

KW - 113 Computer and information sciences

U2 - 10.1145/3229556.3229560

DO - 10.1145/3229556.3229560

M3 - Conference contribution

SP - 7

EP - 12

BT - Proceedings of the 2018 Workshop on Mobile Edge Communications

PB - ACM

ER -

Mohan N, Zavodovski A, Zhou P, Kangasharju J. Anveshak: Placing Edge Servers In The Wild. In Proceedings of the 2018 Workshop on Mobile Edge Communications: Co-located with ACM SIGCOMM 2018. ACM. 2018. p. 7-12 https://doi.org/10.1145/3229556.3229560