AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗

Dhruv Kumar; Sohaib Ahmad; Abhishek Chandra; Ramesh K. Sitaraman

doi:10.1109/CCGridW59191.2023.00067

AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗

Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Today, data is generated in a geographically distributed manner in a wide variety of domains such as social networks, e-commerce, search engines, online advertisements, audio and video streaming, energy, smart cities, IoT sensors etc. Consequently, this data is stored across geographically distributed edges and data centers (DCs) near to the end-users and end-devices, the very sources of this data. Analyzing this geographically distributed data is challenging primarily due to two reasons: 1) constrained and costly WAN bandwidth links which connect the geo-distributed edges and DCs (henceforth collectively called as sites) [1], and 2) limited compute availability at each site (especially the edges) [2].

Original language	English (US)
Title of host publication	Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023
Editors	Yogesh Simmhan, Ilkay Altintas, Ana-Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	308-310
Number of pages	3
ISBN (Electronic)	9798350302080
DOIs	https://doi.org/10.1109/CCGridW59191.2023.00067
State	Published - 2023
Event	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023 - Bangalore, India Duration: May 1 2023 → May 4 2023

Publication series

Name	Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023

Conference

Conference	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023
Country/Territory	India
City	Bangalore
Period	5/1/23 → 5/4/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

cloud
edge
geo distributed joins

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/CCGridW59191.2023.00067

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Cite this

Kumar, D., Ahmad, S., Chandra, A., & Sitaraman, R. K. (2023). AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗. In Y. Simmhan, I. Altintas, A.-L. Varbanescu, P. Balaji, A. S. Prasad, & L. Carnevale (Eds.), Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023 (pp. 308-310). (Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCGridW59191.2023.00067

AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗. / Kumar, Dhruv; Ahmad, Sohaib; Chandra, Abhishek et al.
Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023. ed. / Yogesh Simmhan; Ilkay Altintas; Ana-Lucia Varbanescu; Pavan Balaji; Abhinandan S. Prasad; Lorenzo Carnevale. Institute of Electrical and Electronics Engineers Inc., 2023. p. 308-310 (Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kumar, D, Ahmad, S, Chandra, A & Sitaraman, RK 2023, AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗. in Y Simmhan, I Altintas, A-L Varbanescu, P Balaji, AS Prasad & L Carnevale (eds), Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023. Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023, Institute of Electrical and Electronics Engineers Inc., pp. 308-310, 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023, Bangalore, India, 5/1/23. https://doi.org/10.1109/CCGridW59191.2023.00067

Kumar D, Ahmad S, Chandra A, Sitaraman RK. AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗. In Simmhan Y, Altintas I, Varbanescu AL, Balaji P, Prasad AS, Carnevale L, editors, Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 308-310. (Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023). doi: 10.1109/CCGridW59191.2023.00067

Kumar, Dhruv ; Ahmad, Sohaib ; Chandra, Abhishek et al. / AggFirstJoin : Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗. Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023. editor / Yogesh Simmhan ; Ilkay Altintas ; Ana-Lucia Varbanescu ; Pavan Balaji ; Abhinandan S. Prasad ; Lorenzo Carnevale. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 308-310 (Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023).

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AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations∗

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access

OpenUrl availability

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