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Output details

11 - Computer Science and Informatics

University of Leeds

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Output 13 of 95 in the submission

Output title

An Approach for Characterizing Workloads in Google Cloud to Derive Realistic Resource Utilization Models

Type

E - Conference contribution

DOI

10.1109/SOSE.2013.24

Name of conference/published proceedings

7th IEEE International Symposium of Service-Oriented System Engineering (SOSE)

Volume number

Issue number

First page of article

ISSN of proceedings

Year of publication

2013

URL

Number of additional authors

Additional information

<02>Cloud inefficiency is largely attributed to poor understanding of workload and user characteristics, but rigorous analysis and modelling have been lacking. We present a pioneering (IEEE-SOSE'2013 best-paper award) academic effort in analysing very large real-world Cloud data. We combined our expertise in data science (TSB/Rolls-Royce STRAPP, £1.37M) to analyse Google Cloud's month-long operational tracelogs, with our modelling/simulation (ESRC MoSeS/GENeSIS, £2.4M) and middleware (CROWN/iVIC) expertise to develop realistic models for Cloud datacenters. Immediate impact on scientific research into Clouds includes our award-winning work [Xu4] and on-going collaboration with technology leaders: Google (John Wilkes) and Open Science Grid (Prof Miron Livny, HTCondor).

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract