Performance bugs which manifest in a production cloud computing infrastructure are
notoriously difficult to diagnose because of both the difficulty of reproducing those bugs and …

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 …

We conduct a comprehensive study of development and deployment issues of six popular
and important cloud systems (Hadoop MapReduce, HDFS, HBase, Cassandra, ZooKeeper …

Performance bugs are often hard to detect due to their non fail-stop symptoms. Existing
debugging techniques can only detect performance bugs with known patterns (eg, inefficient …

Software performance is important for ensuring the quality of software products.
Performance bugs, defined as programming errors that cause significant performance …

Infrastructure-as-a-service clouds are becoming widely adopted. However, resource sharing
and multi-tenancy have made performance anomalies a top concern for users. Timely …

To design effective tools for detecting and recovering from software failures requires a deep
understanding of software bug characteristics. We study software bug characteristics by …

Performance efficiency and scalability are the major design goals for high performance
computing (HPC) applications. However, it is challenging to achieve high efficiency and …

Performance issues in large applications arise only in particular scenarios under heavy load
conditions. It is therefore difficult to catch them during testing and they easily escape into …

Reproducing bug symptoms is a prerequisite for performing automatic bug diagnosis. Do
bugs have characteristics that ease or hinder automatic bug diagnosis? In this paper, we …