A Beloglazov, R Buyya - … on Cluster, Cloud and Grid Computing, 2010 - ieeexplore.ieee.org
Rapid growth of the demand for computational power has led to the creation of large-scale data centers. They consume enormous amounts of electrical power resulting in high …
S Boyd-Wickizer, AT Clements, Y Mao… - … USENIX Symposium on …, 2010 - usenix.org
This paper analyzes the scalability of seven system applications (Exim, memcached, Apache, PostgreSQL, gmake, Psearchy, and MapReduce) running on Linux on a 48-core …
M Dobrescu, N Egi, K Argyraki, BG Chun… - Proceedings of the …, 2009 - dl.acm.org
We revisit the problem of scaling software routers, motivated by recent advances in server technology that enable high-speed parallel processing--a feature router workloads appear …
Multiprocessor application performance can be limited by the operating system when the application uses the operating system frequently and the operating system services use data …
S Han, S Marshall, BG Chun… - 10th USENIX Symposium …, 2012 - usenix.org
We present MegaPipe, a new API for efficient, scalable network I/O for message-oriented workloads. The design of MegaPipe centers around the abstraction of a channel—a per …
We examine the implications of end-to-end web application development, in the social web era. The paper describes a distributed architecture, suitable for modern web application …
V Sarkar, W Harrod, AE Snavely - Journal of Physics: Conference …, 2009 - iopscience.iop.org
Computer systems anticipated in the 2015–2020 timeframe are referred to as Extreme Scale because they will be built using massive multi-core processors with 100's of cores per chip …
The exponential growth in data generated by satellites, radars, sensors, and analysis and reanalysis from model outputs for the hydrological domain requires efficient real-time data …
Extreme Scale processors containing hundreds or even thousands of cores will challenge current operating system (OS) practices. Many of the fundamental assumptions that underlie …