Capacity management for streaming applications over cloud infrastructures with micro billing models

Rafael Tolosana-Calasanz, Javier Diaz-Montes, Luiz F. Bittencourt, Omer Rana, Manish Parashar

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

2 Scopus citations

Abstract

Recent advances in sensor technologies and instrumentation have led to an extraordinary growth of data sources and streaming applications. A wide variety of devices, from smart phones to dedicated sensors, have the capability of collecting and streaming data at unprecedented rates. Typical applications include smart cities & built environments for instance, where sensor-based infrastructures continue to increase in scale and variety. Analysis of stream data involves: (i) execution of a number of operations on a time/sample window - e.g. min./max./avg., filtering, etc; (ii) a need to combine a number of such operations together; (iii) eventdriven execution of operations, generally over short time durations; (iv) operation correlations across multiple data streams. The use of such operations does not fit well in the per-hour or per-minute cloud billing models currently available from cloud providers - with some notable exceptions (e.g. Amazon AWS). In this paper we discuss how microbilling and sub-second resource allocation can be used in the context of streaming applications and how micro-billing models bring challenges to capacity management on cloud infrastructures.

Original languageEnglish (US)
Title of host publicationProceedings - 9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016
PublisherAssociation for Computing Machinery, Inc
Pages251-256
Number of pages6
ISBN (Electronic)9781450346160
DOIs
StatePublished - Dec 6 2016
Event9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016 - Shanghai, China
Duration: Dec 6 2016Dec 9 2016

Publication series

NameProceedings - 9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016

Other

Other9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016
CountryChina
CityShanghai
Period12/6/1612/9/16

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Capacity management
  • Cloud computing
  • Microbilling

Fingerprint Dive into the research topics of 'Capacity management for streaming applications over cloud infrastructures with micro billing models'. Together they form a unique fingerprint.

Cite this