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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:1610.08198 (cs)
[Submitted on 26 Oct 2016]

Title:Static Analysis Using the Cloud

Authors:Rahul Kumar (Microsoft Research, Redmond, WA, USA),Chetan Bansal (Microsoft Research, Redmond, WA, USA),Jakob Lichtenberg (Microsoft, Redmond, WA, USA)
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Abstract:In this paper we describe our experience of using Microsoft Azure cloud computing platform for static analysis. We start by extending Static Driver Verifier to operate in the Microsoft Azure cloud with significant improvements in performance and scalability. We present our results of using SDV on single drivers and driver suites using various configurations of the cloud relative to a local machine. Finally, we describe the Static Module Verifier platform, a highly extensible and configurable platform for static analysis of generic modules, where we have integrated support for verification using a cloud services provider (Microsoft Azure in this case).
Comments:In Proceedings iFMCloud 2016,arXiv:1610.07700
Subjects:Distributed, Parallel, and Cluster Computing (cs.DC); Software Engineering (cs.SE)
Cite as:arXiv:1610.08198 [cs.DC]
 (orarXiv:1610.08198v1 [cs.DC] for this version)
 https://doi.org/10.48550/arXiv.1610.08198
arXiv-issued DOI via DataCite
Journal reference:EPTCS 228, 2016, pp. 2-15
Related DOI:https://doi.org/10.4204/EPTCS.228.2
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From: EPTCS [view email] [via EPTCS proxy]
[v1] Wed, 26 Oct 2016 06:51:52 UTC (548 KB)
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