Empirical performance measurements of computer systems almost always exhibit variability and anomalies. Run-to-run and server-to-server variations are common for CPU, memory, disk, and network performance characteristics. In our previous work, we focused on taming performance variability for memory, disk, and network [1] and established an interactive analysis service at: https://confirm.fyi/to help users of the CloudLab testbed [2] better plan and conduct their experiments. In this paper, we describe our analysis of CPU variability based on over 1.3M performance measurements from nearly 1,800 servers and present our initial findings
Performance variability has been acknowledged as a problem for over a decade by cloud practitioners ...
Servers running distributed simulation applications need to process a large number of small packets ...
While assessing software performance quality in the cloud, we noticed some significant performance v...
Empirical performance measurements of computer systems almost always exhibit variability and anomali...
This dataset includes over 2.4M CPU performance measurements collected on the CloudLab testbed. For ...
This dataset includes over 6.4M performance measurements collected on the CloudLab testbed. For more...
All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. ...
Cloud computing and virtualization solutions allow one to rent the virtual machines (VMs) needed to ...
Virtualization is a key enabler technology for cloud computing. It allows applications to share comp...
This thesis studies ways to detect anomalies in server performance and tests simple implementations ...
Flexibility is an important characteristic of cloud computing: users can dynamically lease resources...
Cloud computing is a popular way to address the scalability and efficiency issues of data centers. W...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Cloud datacenters comprise hundreds or thousands of disparate application services, each having stri...
Performance variability has been acknowledged as a problem for over a decade by cloud practitioners ...
Servers running distributed simulation applications need to process a large number of small packets ...
While assessing software performance quality in the cloud, we noticed some significant performance v...
Empirical performance measurements of computer systems almost always exhibit variability and anomali...
This dataset includes over 2.4M CPU performance measurements collected on the CloudLab testbed. For ...
This dataset includes over 6.4M performance measurements collected on the CloudLab testbed. For more...
All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. ...
Cloud computing and virtualization solutions allow one to rent the virtual machines (VMs) needed to ...
Virtualization is a key enabler technology for cloud computing. It allows applications to share comp...
This thesis studies ways to detect anomalies in server performance and tests simple implementations ...
Flexibility is an important characteristic of cloud computing: users can dynamically lease resources...
Cloud computing is a popular way to address the scalability and efficiency issues of data centers. W...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Cloud datacenters comprise hundreds or thousands of disparate application services, each having stri...
Performance variability has been acknowledged as a problem for over a decade by cloud practitioners ...
Servers running distributed simulation applications need to process a large number of small packets ...
While assessing software performance quality in the cloud, we noticed some significant performance v...