We have designed and implemented the Google File System, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients.
Intel® Threading Building Blocks (TBB) offers a rich and complete approach to expressing parallelism in a C++ program. It is a library that helps you take advantage of multi-core processor performance without having to be a threading expert. Threading Building Blocks is not just a threads-replacement library. It represents a higher-level, task-based parallelism that abstracts platform details and threading mechanisms for scalability and performance.
Tuning your PostgreSQL database is somewhat of a black art. While documentation does exist on the topic, many people still find it hard to get all the power out of their system. This article aims to help demystify PostgreSQL database performance tuning.
UltraESB is the first [and still the only] Open Source Enterprise Service Bus (ESB) to utilize Zero-copy proxying with Memory Mapped files and Java Non-Blocking IO for extreme performance!
Measurement Lab (M-Lab) is an open platform for researchers to deploy Internet measurement tools. By enhancing Internet transparency, we aim to help sustain a healthy, innovative Internet.
M-Lab provides the largest collection of open Internet performance data on the planet. As a consortium of research, industry, and public-interest partners, M-Lab is dedicated to providing an ecosystem for the open, verifiable measurement of global network performance. Real science requires verifiable processes, and M-Lab welcomes scientific collaboration and scrutiny. This is why all of the data collected by M-Lab’s global measurement platform are made openly available, and all of the measurement tools hosted by M-Lab are open source. Anyone with time and skill can review and improve the underlying methodologies and assumptions on which M-Lab’s platform, tools, and data rely. Transparency and review are key to good science, and good science is key to good measurement.
S. Abass, S. Ahmed, S. Makki, and N. Osman. International Journal of Computer Science and Information Technology (IJCSIT), 10 (1/2):
01 - 15(June 2021)