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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/15223
Title: AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations
Authors: Kumar, Dhruv
Keywords: Computer Science
Geo distributed joins
Cloud
Edge
Issue Date: Jul-2023
Publisher: IEEE
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
URI: https://ieeexplore.ieee.org/document/10181222
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/15223
Appears in Collections:Department of Computer Science and Information Systems

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