AGOCS – Accurate Google Cloud Simulator Framework
- Submitting institution
-
The University of Westminster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9wv5w
- Type
- E - Conference contribution
- DOI
-
10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0095
- Title of conference / published proceedings
- 16th IEEE International Conference on Scalable Computing and Communications
- First page
- 550
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- January
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Cloud workloads have been researched thoughtfully and are relatively well understood. However, there have been limited attempts to accurately simulate cloud workloads with consideration of detailed task parameters and constraints. Based on real-world workload traces from a Google Cluster with 12.5K nodes, AGOCS provides precise and detailed parameters of the executed jobs, tasks, and nodes, with actual resource usage statistics. The framework is particularly useful for dynamic tuning of high-level algorithms and strategies, while running simulations that closely model real cloud systems. Available in open source, AGOCS has been attracting particular interest from industry (John Wilkes-johnwilkes@google.com, Principal Software Engineer).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
