Predicting response times for the spotify backend
R Yanggratoke, G Kreitz, M Goldmann… - 2012 8th international …, 2012 - ieeexplore.ieee.org
We model and evaluate the performance of a distributed key-value storage system that is
part of the Spotify backend. Spotify is an on-demand music streaming service, offering low …
part of the Spotify backend. Spotify is an on-demand music streaming service, offering low …
On the performance of the spotify backend
R Yanggratoke, G Kreitz, M Goldmann… - Journal of Network and …, 2015 - Springer
We model and evaluate the performance of a distributed key-value storage system that is
part of the Spotify backend. Spotify is an on-demand music streaming service, offering low …
part of the Spotify backend. Spotify is an on-demand music streaming service, offering low …
Data-driven performance prediction and resource allocation for cloud services
R Yanggratoke - 2016 - diva-portal.org
Cloud services, which provide online entertainment, enterprise resource management, trip
planning, tax filing, etc., are becoming essential for consumers, businesses, and …
planning, tax filing, etc., are becoming essential for consumers, businesses, and …
Storage device performance prediction with hybrid regression models
Today's storage systems and database systems are highly complex and configurable, which
makes storage management intricate and costly. One critical aspect of storage management …
makes storage management intricate and costly. One critical aspect of storage management …
Performance modeling in industry: a case study on storage virtualization
N Huber, S Becker, C Rathfelder… - Proceedings of the …, 2010 - dl.acm.org
In software engineering, performance and the integration of performance analysis
methodologies gain increasing importance, especially for complex systems. Well-developed …
methodologies gain increasing importance, especially for complex systems. Well-developed …
I/O performance modeling of virtualized storage systems
Q Noorshams, K Rostami, S Kounev… - 2013 IEEE 21st …, 2013 - ieeexplore.ieee.org
Server virtualization is a key technology to share physical resources efficiently and flexibly.
With the increasing popularity of I/O-intensive applications, however, the virtualized storage …
With the increasing popularity of I/O-intensive applications, however, the virtualized storage …
An empirical exploration of black-box performance models for storage systems
L Yin, S Uttamchandani, R Katz - 14th IEEE International …, 2006 - ieeexplore.ieee.org
The effectiveness of automatic storage management depends on the accuracy of the storage
performance models that are used for making resource allocation decisions. Several …
performance models that are used for making resource allocation decisions. Several …
Realistic request arrival generation in storage benchmarks
R Pitchumani, S Frank, EL Miller - 2015 31st Symposium on …, 2015 - ieeexplore.ieee.org
Benchmarks are widely used to perform apples-to-apples comparison in a controlled and
reliable fashion. Benchmarks must model real world workload behavior. In recent years, to …
reliable fashion. Benchmarks must model real world workload behavior. In recent years, to …
[PDF][PDF] A statistical evaluation of the impact of parameter selection on storage system benchmarks
The performance evaluation of storage systems is a difficult task due to lack of
representative workloads. Storage benchmark tools test a single aspect such as random …
representative workloads. Storage benchmark tools test a single aspect such as random …
A model of storage I/O performance interference in virtualized systems
G Casale, S Kraft… - 2011 31st International …, 2011 - ieeexplore.ieee.org
In this paper, we propose simple performance models to predict the impact of consolidation
on the storage I/O performance of virtualized applications. We use a measurement-based …
on the storage I/O performance of virtualized applications. We use a measurement-based …