Browsing by Subject "Instrumentation"

Now showing 1 - 2 of 2
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    Computer Program Instrumentation Using Reservoir Sampling & Pin++
    (2019-08) Upp, Brandon E.; Hill, James H.; Tuceryan, Mihran; Raje, Rajeev R.
    This thesis investigates techniques for improving real-time software instrumentation techniques of software systems. In particular, this thesis investigates two aspects of this real-time software instrumentation. First, this thesis investigates techniques for achieving different levels of visibility (i.e., ensuring all parts of a system are represented, or visible, in final results) into a software system without compromising software system performance. Secondly, this thesis investigates how using multi-core computing can be used to further reduce instrumentation overhead. The results of this research show that reservoir sampling can be used to reduce instrumentation overhead. Reservoir sampling at a rate of 20%, combined with parallelized disk I/O, added 34.1% additional overhead on a four-core machine, and only 9.9% additional overhead on a sixty-four core machine while also providing the desired system visibility. Additionally, this work can be used to further improve the performance of real-time distributed software instrumentation.
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    Realtime Dynamic Binary Instrumentation
    (2016) Du, Mike; Hill, James Haswell; Tuceryan, Mihran; Raje, Rajeev R.; Fang, Shiaofen
    This thesis presents a novel technique and framework for decreasing instrumenta- tion overhead in software systems that utilize dynamic binary instrumentation. First, we introduce a lightweight networking framework combined with an easily extensible BSON implementation as a heavy analysis routine replacement. Secondly, we bind instrumentation and analysis threads to non-overlapping cpu cores--allowing analysis threads to execute faster. Lastly, we utilize a lock-free buffering system to bridge the gap between instrumentation and analysis threads, and minimize the overhead to the instrumentation threads. Using this combination, we managed to write a dynamic binary instrumentation tool (DBI) in Pin using Pin++ that is almost 1100 % faster than its counterpart DBI tool with no buffering, and less than 500% slower than a similar tool with no analysis routine.