An operating system for multicore and clouds: Mechanisms and implementation
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Agarwal_An operating.pdf
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Author(s)
Wentzlaff, David M.
Gruenwald, Charles
Beckmann, Nathan Zachary
Modzelewski, Kevin
Belay, Adam M.
Youseff, Lamia
Miller, Jason E.
Agarwal, Anant
Date Issued
June 2010
Journal
ACM Symposium on Cloud Computing. Proceedings
Publisher
Association for Computing Machinery
Citation
Wentzlaff, David et al. “An Operating System for Multicore and Clouds.” Proceedings of the 1st ACM Symposium on Cloud Computing - SoCC ’10. Indianapolis, Indiana, USA, 2010. Copyright 2010 ACM
Version
Author's final manuscript
Abstract
Cloud computers and multicore processors are two emerging classes
of computational hardware that have the potential to provide unprecedented
compute capacity to the average user. In order for the
user to effectively harness all of this computational power, operating
systems (OSes) for these new hardware platforms are needed.
Existing multicore operating systems do not scale to large numbers
of cores, and do not support clouds. Consequently, current
day cloud systems push much complexity onto the user, requiring
the user to manage individual Virtual Machines (VMs) and deal
with many system-level concerns. In this work we describe the
mechanisms and implementation of a factored operating system
named fos. fos is a single system image operating system across
both multicore and Infrastructure as a Service (IaaS) cloud systems.
fos tackles OS scalability challenges by factoring the OS
into its component system services. Each system service is further
factored into a collection of Internet-inspired servers which communicate
via messaging. Although designed in a manner similar to
distributed Internet services, OS services instead provide traditional
kernel services such as file systems, scheduling, memory management,
and access to hardware. fos also implements new classes
of OS services like fault tolerance and demand elasticity. In this
work, we describe our working fos implementation, and provide
early performance measurements of fos for both intra-machine and
inter-machine operations.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/1807128.1807132
