Towards optimizing wide-area streaming analytics

Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Modern analytics services require the analysis of large quantities of data derived from disparate geo-distributed sources. Further, the analytics requirements can be complex, with many applications requiring a combination of both real-time and historical analysis, resulting in complex tradeoffs between cost, performance, and information quality. While the traditional approach to analytics processing is to send all the data to a dedicated centralized location, an alternative approach would be to push all computing to the edge for in-situ processing. We argue that neither approach is optimal for modern analytics requirements. Instead, we examine complex tradeoffs driven by a large number of factors such as application, data, and resource characteristics. We present an empirical study using PlanetLab experiments with beacon data from Akamai's download analytics service. We explore key tradeoffs and their implications for the design of next-generation scalable wide-area analytics.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Cloud Engineering, IC2E 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages452-457
Number of pages6
ISBN (Electronic)9781479982189
DOIs
StatePublished - Jan 1 2015
Event2015 IEEE International Conference on Cloud Engineering, IC2E 2015 - Tempe, United States
Duration: Mar 9 2015Mar 12 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Cloud Engineering, IC2E 2015

Other

Other2015 IEEE International Conference on Cloud Engineering, IC2E 2015
CountryUnited States
CityTempe
Period3/9/153/12/15

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    Heintz, B., Chandra, A., & Sitaraman, R. K. (2015). Towards optimizing wide-area streaming analytics. In Proceedings - 2015 IEEE International Conference on Cloud Engineering, IC2E 2015 (pp. 452-457). [7092960] (Proceedings - 2015 IEEE International Conference on Cloud Engineering, IC2E 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC2E.2015.53