Monitoring data structures using hardware transactional memory

1Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The robustness of software systems is adversely affected by programming errors and security exploits that corrupt heap data structures. In this paper, we present the design and implementation of TxMon, a system to detect such data structure corruptions. TxMon leverages the concurrency control machinery implemented by hardware transactional memory (HTM) systems to additionally enforce programmer-specified consistency properties on data structures at runtime. We implemented a prototype version of TxMon using an HTM system (LogTMSE) and studied the feasibility of applying TxMon to enforce data structure consistency properties on several benchmarks. Our experiments show that TxMon is effective at monitoring data structure properties, imposing tolerable runtime performance overheads. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Butt, S., Ganapathy, V., Baliga, A., & Christodorescu, M. (2012). Monitoring data structures using hardware transactional memory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7186 LNCS, pp. 345–359). https://doi.org/10.1007/978-3-642-29860-8_26

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free