Social trove: A self-summarizing storage service for social sensing

Md Tanvir Al Amin, Shen Li, Muntasir Raihan Rahman, Panindra Tumkur Seetharamu, Shiguang Wang, Tarek Abdelzaher, Indranil Gupta, Mudhakar Srivatsa, Raghu Ganti, Reaz Ahmed, Hieu Le

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

Abstract

The increasing availability of smartphones, cameras, and wearables with instant data sharing capabilities, and the exploitation of social networks for information broadcast, heralds a future of real-time information overload. With the growing excess of worldwide streaming data, such as images, geotags, text annotations, and sensory measurements, an increasingly common service will become one of data summarization. The objective of such a service will be to obtain a representative sampling of large data streams at a configurable granularity, in real-time, for subsequent consumption by a range of data-centric applications. This paper describes a general-purpose self-summarizing storage service, called Social Trove, for social sensing applications. The service summarizes data streams from human sources, or sensors in their possession, by hierarchically clustering received information in accordance with an application-specific distance metric. It then serves a sampling of produced clusters at a configurable granularity in response to application queries. While Social Trove is a general service, we illustrate its functionality and evaluate it in the specific context of workloads collected from Twitter. Results show that Social Trove supports a high query throughput, while maintaining a low access latency to the produced real-time application-specific data summaries. As a specific application case-study, we implement a fact-finding service on top of Social Trove.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
EditorsPhilippe Lalanda, Samuel Kounev, Ada Diaconescu, Lucy Cherkasova
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-50
Number of pages10
ISBN (Electronic)9781467369701
DOIs
StatePublished - Sep 14 2015
Event12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France
Duration: Jul 7 2015Jul 10 2015

Publication series

NameProceedings - IEEE International Conference on Autonomic Computing, ICAC 2015

Other

Other12th IEEE International Conference on Autonomic Computing, ICAC 2015
CountryFrance
CityGrenoble
Period7/7/157/10/15

Keywords

  • Clustering
  • Social Sensing
  • Storage
  • Summarization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Control and Systems Engineering

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  • Cite this

    Al Amin, M. T., Li, S., Rahman, M. R., Seetharamu, P. T., Wang, S., Abdelzaher, T., Gupta, I., Srivatsa, M., Ganti, R., Ahmed, R., & Le, H. (2015). Social trove: A self-summarizing storage service for social sensing. In P. Lalanda, S. Kounev, A. Diaconescu, & L. Cherkasova (Eds.), Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015 (pp. 41-50). [7266933] (Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAC.2015.47