Production-run software failure diagnosis via hardware performance counters

Contribution this paper presents a new approach to diagnosing a wide variety of productionrun software failures with low runtime overhead and low diagnosis latency, while preserving end users privacy. Understanding and detecting realworld performance bugs pldi 2012 pdf. After inspecting every hardware event counter, we choose n counters most relevant to the tunable hardware resources. This new approach is based on the following two observations. Important operating note on oracle x86 servers using megaraid disk controllers, serial attached scsi sas data path errors can occur. Understanding and detecting realworld performance bugs. It can also be a hardware issue when in the process of reading or writing data from or to memory, a pci abort transaction occurs. System monitoring command reference for cisco ncs 6000.

The difference between software fault and software failure software failure occurs when the software does not do what the user expects to see. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Productionrun software failure diagnosis via hardware performance counters. Shan lu university of wisconsinmadison, wisconsin uw. We present hytrace, a novel hybrid approach to diagnosing performance problems in production cloud infrastructures. Hundreds of different low level events that are almost free.

Production run multithreaded software failure diagnosis. Hp provides diagnostic software you can use to test hardware components on your computer. Pdf hardware performance counters for system reliability monitoring. Productionrun software failure diagnosis via hardware performance counters conair. Productionrun software failure diagnosis via hardware performance counters acm asplos, march 20, houston, tx. This topic provides information on the basic metrics used to measure. When thoseproblems occur,developers often have little clue to diagnose those problems. Productionrun software failure diagnosis via adaptive. Production run software failure diagnosis via hardware performance counters, asplos. Production run software failure diagnosis via adaptive communication tracking. Connectx3 performance diagnostic counters for windows 2012. The cisco ios xr software provides an efficient mechanism to collect these counters from various applicationspecific integrated circuits asics or netio and assemble an accurate set of statistics for an interface. Productionrun software failure diagnosis via adaptive communication tracking. Postsilicon bug diagnosis with inconsistent executions.

Automated concurrencybug fixing osdi 2012 pdf guoliang jin, wei zhang, dongdong deng, ben liblit, shan lu. What is the difference between software and hardware. The biggest software failures in recent history including ransomware attacks, it outages and data leakages that have affected some of the biggest companies. Production run software failure diagnosis via hardware performance counters acm asplos, march 20, houston, tx. This counter can be an indication of a software issue if the request descriptor contains any invalid segment.

Productionrun software failure diagnosis via hardware. Joy arulraj, pochun chang, guoliang jin, shan lu, production run software failure diagnosis via hardware performance counters, acm sigarch computer architecture news, v. Along with analysis of the application behavior under load, you need to control the resource usage on the server and find bottlenecks cpu, disk io, memory or network that may limit the server performance. Open start, do a search for performance monitor, and click the result. We present pbi, a system that uses existing hardware performance counters to diagnose production run failures caused by sequential and concurrency bugs. Simple signatures can often be collected using existing debug infrastructures, such as onchip logic analyzers 3. Hardware performance monitoring is an integral part of load testing. Detecting performance problems via similar memoryaccess patterns, proceedings of the 35th international conference on software engineering icse 20, 20. Hp notebook pcs testing and calibrating the battery. Manual diagnosis can require sifting through millions of lines of code and output logs. Checking system rules using systemspecific, programmerwritten compiler extensions. Productionrun failure diagnosis diagnosing failures on client machines. Statistically regulating program behavior via mainstream computing. Modern processors provide hundreds of hardware event counters as its telemetry.

Unfortunately, diagnosing productionrun failures is challenging. We propose an effective approach to automatically localize buggy shared memory accesses that trigger concurrency bugs. This cited by count includes citations to the following articles in scholar. A zeropositive learning approach for diagnosing software. Due to issues such as nondeterminism and difficulties of reproducing failures, debugging concurrent software is significantly more challenging than debugging sequential software. Discerning the dominant out of order performance advantage. Hardware faults induced by high energy density environments can be injected. As software and systems become increasingly complex, the task of debugging also becomes increasingly difficult. Tried that and this is what i found disconnected from internet still had the hardware device and driver checks failure. Analyzing the impact of undefined behavior, sosp 20. In principle, one can use hardware performance counters to characterize the root.

Failures caused by software bugs are widespread in production runs, causing severe losses for end users. In the context of computer programming, instrumentation refers to the measure of a products performance, to diagnose errors, and to write trace information. Existing work cannot satisfy privacy, runtime overhead, diagnosis capability, and diagnosis latency requirements all at once. The nps node failure detection in the environment, which may be a combination of existing eventmgr reporting, state transition events, hardware notification events, and userdeveloped solutions. Production run software failure diagnosis via hardware performance counters asplos 20 pdf joy arulraj, pochun chang, guoliang jin, shan lu. In performing this mapping, the analyst will need to assess the impact of failure of.

Production run software failure diagnosis via hardware performance counters joy arulraj, pochun chang, guoliang jin, and shan lu asplos 20. After doing that, you should see the add counters dialog, where you can select user input delay per process or user input delay per session if you select user input delay per process, youll see the instances of the selected object in other words, the. Leveraging the shortterm memory of hardware to diagnose productionrun software failures j arulraj, g jin, s lu proceedings of the 19th international conference on architectural support, 2014. Good production run software failure diagnosis via hardware performance counters conair. Production run software failure diagnosis via hardware performance counters,asplos 20 early detection of configuration errors to reduce failure damage,osdi 2016 towards optimizationsafe systems. After the statistics are produced, they can be exported to interested parties commandline interface cli, simple network. Rebuilding all performance counters including extensible and thirdparty counters. Failure in the system diagnostic report microsoft community. Quantitative evaluation of fault propagation in a commercial cloud.

Joy arulraj, pochun chang, guoliang jin and shan lu. Production run software failure diagnosis via hardware performance counters. Performance diagnosis for inefficient loops, the proceedings of splash 2016 oopsla, 2016. Their combined citations are counted only for the first article. Adrian nistor, linhai song, darko marinov, shan lu. Productionrun software failure diagnosis via hardware performance counters asplos 20 pdf joy arulraj, pochun chang, guoliang jin, shan lu. How to manually rebuild performance counters for windows. Proving acceptability properties of relaxed nondeterministic approximate programs. The algorithm tracks the progress of each thread using performance counters to construct a deterministic logical time that is used to compute an interleaving of shared data accesses that is both deterministic and provides good load balancing. Experimental results show that the integrated fault detection mechanism of the cloud system, such as fatal trap detectors, has left a detection margin of 20% silent data. Leveraging the shortterm memory of hardware to diagnose. Motivation software inevitably fails on production machines. Pochun chang engineer industrial technology research. To rebuild all performance counters including extensible and thirdparty counters, type the following commands at an administrative command prompt.

Performance counters components that allow the tracking of the. Automatic program repair with evolutionary computation. The hp pc hardware diagnostics for windows is a windows based utility that allows you to run diagnostic tests to determine whether the computer hardware is functioning properly. Kendo can run on todays commodity hardware while incurring only a modest performance cost.

An ideal signature is compact for dense storage and fast transfer, and represents a highlevel view of the observed activity. Low cost hardware fault detection and diagnosis for multicore. Although promising, these techniques suffer from high runtime overhead, which is sometimes over 100%, for concurrencybug failure diagnosis and hence are not suitable for productionrun usage. Jan 21, 2016 debuggingthe process of identifying, localizing and fixing bugsis a key activity in software development. Approximate data types for safe and general lowpower computation. Largerthanmemory data management on modern storage hardware for inmemory oltp database systems. Joy arulraj university of wisconsin, pochun chang university of wisconsin, guoliang jin university of wisconsin, shan lu university of wisconsin conair. Checkpoint files also provide snapshots of the application at different simulation epochs, help in debugging, aid in performance monitoring and analysis, and can help improve loadbalancing decisions for better distributedmemory usage. An nps node experiences a hardware or software failure, resulting in the temporary inability to process query or update transactions. Localization of concurrency bugs using shared memory. Writebehind logging sap labs, sep 2017, walldorf, germany.

Checkpoint files help mitigate the risk of a hardware or software failure in a longrunning job. Localization of concurrency bugs using shared memory access. Quantitative evaluation of fault propagation in a commercial. In proceedings of the 18th international conference on architectural support for programming languages and operating systems, asplos. Diagnosing sas data path failures on servers using. It is defined as the deviation of the delivered service from compliance with the specification.

However, much to my suprise, when connected to the internet, and ran the test, all catagories in the system diagnostic report, including the hardware device and driver checks, passed. How to use performance monitor on windows 10 windows central. Failure sketching proceedings of the 25th symposium on. Reliability engineers have traditionally focused more on hardware than software. Productionrun software failure diagnosis via hardware performance counters,asplos 20 early detection of configuration errors to reduce failure damage,osdi 2016 towards optimizationsafe systems. Productionrun software failure diagnosis via hardware performance counters joy arulraj, pochun chang, guoliang jin and shan lu. Leveraging the shortterm memory of hardware to diagnose production run software failures, asplos 14. Although promising, these techniques suffer from high run time overhead, which is sometimes over 100%, for concurrencybug failure diagnosis and hence are not suitable for production run usage. Difference between hardware and software failure answers. Performance tests and ratings are measured using specific computer systems andor components and reflect the approximate performance of intel products as measured by those tests. What is the difference between hardware failure and. Not all the defects result in failure as defects in dead code do not cause failure. Leveraging the shortterm memory of hardware to diagnose productionrun software failures. International journal of distributed quantitative evaluation.

In proceedings of the eighteenth international conference on architectural support for programming languages and operating systems, asplos, pages 101112, new york, ny, usa, 20. The diagnosis of computer hardware failure manually process take a long time and addup the time needed to complete the task as they need to repeat the same process. Any difference in system hardware or software design or configuration may affect actual performance. Hardware telemetry enables profiling program executions using hardware performance counters. Kernel data race detection using debug register in linux. Featherweight concurrency bug recovery via singlethreaded idempotent execution. Statistical failure diagnosis in software and systems. A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. Diagnosing production run failures at the users site. Production run software failure diagnosis via hardware performance counters joy arulraj, pochun chang, guoliang jin and shan lu. Productionrun software failure diagnosis via hardware performance counters ja, pcc, gj, sl, pp.

In summary, more tools are needed to support productionrun failure diagnosis. Sdp 3106784778f524968884805cbcc3c1 windows performance diagnostic. A number of methods, models and tools for debugging concurrent and multicore software have been. Productionrun software failure diagnosis via hardware performance. Productionrun software failure diagnosis via hardware performance counters, asplos performance capability code size change hardware.

Emery berger hot topics in pl and systems cmpsci 691nn. Production run software failure diagnosis via hardware performance counters asplos proceedings of the eighteenth international conference on architectural support for programming languages and. These are not your grand daddys cpu performance counters. First, as long as enough successful runs of a concurrent program are collected, our approach can localize buggy shared memory accesses even with only one single failed run captured, as opposed to the requirement. Compared to existing approaches, our approach has two advantages. Under certain circumstances, the product may produce wrong results.

In addition, large systems contain many components, each complex on its own, and often interacting in unexpected ways. An architectural framework for detecting process hangscrashes. We present pbi, a system that uses existing hardware performance counters to diagnose productionrun failures caused by sequential and concurrency bugs. Instrumentation and sampling strategies for cooperative concurrency bug isolation, oopsla 10. Row hammer also written as rowhammer is a security exploit that takes advantage of an unintended and undesirable side effect in dynamic randomaccess memory dram in which memory cells leak their charges by interactions between themselves, possibly leaking or changing the contents of nearby memory rows that were not addressed in the original memory access.