Performance bug analysis and detection for distributed storage and computing systems
This article systematically studies 99 distributed performance bugs from five widely deployed
distributed storage and computing systems (Cassandra, HBase, HDFS, Hadoop …
distributed storage and computing systems (Cassandra, HBase, HDFS, Hadoop …
Pcatch: Automatically detecting performance cascading bugs in cloud systems
Distributed systems have become the backbone of modern clouds. Users often expect high
scalability and performance isolation from distributed systems. Unfortunately, a type of poor …
scalability and performance isolation from distributed systems. Unfortunately, a type of poor …
Evaluating scalability bottlenecks by workload extrapolation
Testing a scalability bottleneck requires a large system to generate sufficient load, which is
usually not accessible to researchers. To address this problem, this paper extrapolates the …
usually not accessible to researchers. To address this problem, this paper extrapolates the …
Sliding {Look-Back} Window Assisted Data Chunk Rewriting for Improving Deduplication Restore Performance
Data deduplication is an effective way of improving storage space utilization. The data
generated by deduplication is persistently stored in data chunks or data containers (a …
generated by deduplication is persistently stored in data chunks or data containers (a …
Pascal: An architecture for proactive auto-scaling of distributed services
One of the main characteristics that today makes cloud services so popular is their ability to
be elastic, ie, they can adapt their provisioning to variable workloads, thus increasing …
be elastic, ie, they can adapt their provisioning to variable workloads, thus increasing …
Sammple: Detecting semantic indoor activities in practical settings using locomotive signatures
We analyze the ability of mobile phone-generated accelerometer data to detect high-level
(ie, at the semantic level) indoor lifestyle activities, such as cooking at home and working at …
(ie, at the semantic level) indoor lifestyle activities, such as cooking at home and working at …
{ScaleCheck}: A {Single-Machine} Approach for Discovering Scalability Bugs in Large Distributed Systems
CA Stuardo, T Leesatapornwongsa… - … USENIX Conference on …, 2019 - usenix.org
We present ScaleCheck, an approach for discovering scalability bugs (a new class of bug in
large storage systems) and for democratizing large-scale testing. ScaleCheck employs a …
large storage systems) and for democratizing large-scale testing. ScaleCheck employs a …
∅ sim: Preparing System Software for a World with Terabyte-scale Memories
M Mansi, MM Swift - Proceedings of the Twenty-Fifth International …, 2020 - dl.acm.org
Recent advances in memory technologies mean that commodity machines may soon have
terabytes of memory; however, such machines remain expensive and uncommon today …
terabytes of memory; however, such machines remain expensive and uncommon today …
Scalability bugs: When 100-node testing is not enough
T Leesatapornwongsa, CA Stuardo… - Proceedings of the 16th …, 2017 - dl.acm.org
We highlight the problem of scalability bugs, a new class of bugs that appear in" cloud-
scale" distributed systems. Scalability bugs are latent bugs that are cluster-scale dependent …
scale" distributed systems. Scalability bugs are latent bugs that are cluster-scale dependent …
Understanding issue correlations: a case study of the hadoop system
Over the last decade, Hadoop has evolved into a widely used platform for Big Data
applications. Acknowledging its wide-spread use, we present a comprehensive analysis of …
applications. Acknowledging its wide-spread use, we present a comprehensive analysis of …