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Scalable Statistical Root Cause Analysis on App Telemetry [article]

Vijayaraghavan Murali, Edward Yao, Umang Mathur, Satish Chandra
2021 arXiv   pre-print
We evaluate Minesweeper's scalability and effectiveness in finding root causes from symptoms on real world bug and crash reports from Facebook's apps.  ...  The method is based on two key aspects: (i) a scalable algorithm to efficiently mine patterns from telemetric information that is collected along with the reports, and (ii) statistical notions of precision  ...  Such an analysis constitutes what we call statistical root cause analysis. There are two main challenges in this process.  ... 
arXiv:2010.09974v2 fatcat:vagncglt4rckrp5v3kklzd2wpi

Caiipa

Chieh-Jan Mike Liang, Ranveer Chandra, Feng Zhao, Nicholas D. Lane, Niels Brouwers, Li Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan
2014 Proceedings of the 20th annual international conference on Mobile computing and networking - MobiCom '14  
Scalable and comprehensive testing of mobile apps is extremely challenging.  ...  In this paper we present Caiipa, a cloud service for testing apps over an expanded mobile context space in a scalable way.  ...  linked to metadata assisting in root cause analysis.  ... 
doi:10.1145/2639108.2639131 dblp:conf/mobicom/LiangLBZKLLTSCZ14 fatcat:wonw54qb2ndqnosvmnsuua7l54

How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments [article]

Yuxiang Xie and Meng Xu and Evan Chow and Xiaolin Shi
2020 arXiv   pre-print
One arises from strong heterogeneity in both mobile devices and user engagement, and the other arises from self-selection bias caused by post-treatment user engagement changes.  ...  Effectively measuring, understanding, and improving mobile app performance is of paramount importance for mobile app developers.  ...  For example, SRM issues can be caused by incorrect treatment assignment and lost telemetry [48] , and can happen in the data processing phase [11] .  ... 
arXiv:2011.14437v1 fatcat:decvggvzfnhljg3we25olzohqu

DIFF

Firas Abuzaid, Xi Wu, Jeff Naughton, Peter Bailis, Matei Zaharia, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu (+1 others)
2018 Proceedings of the VLDB Endowment  
While useful in diverse tasks such as user behavior analytics, operational event processing, and root cause analysis, today's explanation engines are designed as standalone data processing tools that do  ...  We evaluate these optimizations on several realworld production applications, and find that DIFF in MB SQL can outperform state-of-the-art engines by up to an order of magnitude.  ...  Acknowledgments We thank Kexin Rong, Hector Garcia-Molina, our colleagues in the Stanford DAWN Project, and the anonymous VLDB reviewers for their detailed feedback on earlier drafts of this work.  ... 
doi:10.14778/3297753.3297761 fatcat:bq224dlk35fm5aoisbyvdtbqjq

The Evolution of Android Malware and Android Analysis Techniques

Kimberly Tam, Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, Lorenzo Cavallaro
2017 ACM Computing Surveys  
This article presents a comprehensive survey on leading Android malware analysis and detection techniques, and their effectiveness against evolving malware.  ...  This article also discusses evaluations of industry solutions, malware statistics, malware evasion techniques, and concludes by supporting future research paths.  ...  Tables V and VI attempt to make note of any performance statistics or scalability information.  ... 
doi:10.1145/3017427 fatcat:f2vdpgntincgvd4xv52l2ovray

Causal Analysis for Software-Defined Networking Attacks

Benjamin E. Ujcich, Samuel Jero, Richard Skowyra, Adam Bates, William H. Sanders, Hamed Okhravi
2021 USENIX Security Symposium  
PICOSDN leverages finegrained data and execution partitioning techniques, as well as a unified control and data plane model, to allow practitioners to efficiently determine root causes of attacks and to  ...  make informed decisions on mitigating them.  ...  Like FOREN-GUARD, PICOSDN provides root cause analysis capabilities for SDN attacks.  ... 
dblp:conf/uss/UjcichJS0SO21 fatcat:jcmmxdpslbeh5jekasb7yxso4i

Smart Prepaid Energy Meter based on Internet of Things

Mayur Rawte, Shrishti Sharma, Praveen Lalwani
2017 International Journal of Computer Applications  
User will then be able to view the usage of electricity in a statistical manner with the balance available in their device.  ...  Users will be able to see their daily usage from a web app with the help of their unique identification number and password provided to them at the time of installation of this device.  ...  If a constant 1000W is going through the meter, then in one hour (3600 seconds) the Led will flash 1000 times, so the LED will flash after every 3600/1000 = 3.6 second. RESULT ANALYSIS Fig 3.  ... 
doi:10.5120/ijca2017914985 fatcat:dgzlvd4maramzm4tzpqgozordu

Current Industry 4.0 Platforms – An Overview

Sauer Christian, Eichelberger Holger, Ahmadian Amir Shayan, Dewes Andreas, Jürjens Jan
2021 Zenodo  
A total of 21 industrial platforms are analyzed based on publicly available documents using 16 analysis topics.  ...  Based on the cross-platform analysis of the 16 topic areas, we derive challenges for future platforms and especially for our work in IIP-Ecosphere.  ...  • Root-cause analysis of asset defects • Management of software updates for edge devices • Implementation of analytics tasks in the edge runtime environment possible as well as by requesting cloud services  ... 
doi:10.5281/zenodo.4485756 fatcat:f4m2swkalnh3biy5vjypsix32y

Concept Validation Test Plan (CVALP)

Juan Vicente Balbastre-Tejedor, Cecilia Claramunt Puchol, Luca Iocchi, Pablo Antonio Morcillo-Pallarés, Cristian Martín-Calvo, Norberto Vera-Veléz, Henrique Madeira, Tiago Cruz, Naghmeh Ivaki, Carlos Chuquitarco-Jimenéz
2022 Zenodo  
The first Validation Phase focuses on nominal performance, whereas the second Validation Phase takes into account non-nominal conditions.  ...  This analysis is done using common statistical tools such as R, Matlab or Excel. Figure 54.  ...  Results of prediction models are analysed with the following statistical tools: • For determining statistical analysis of a set of results of a random process: mean and standard deviation of such set of  ... 
doi:10.5281/zenodo.6922552 fatcat:ddq2gcl4wjbvdbxuz2mnagxjte

Monitoring and Discovery for Self-Organized Network Management in Virtualized and Software Defined Networks

Ángel Caraguay, Luis Villalba
2017 Sensors  
This design takes into account the scalability and flexibility requirements needed by 5G infrastructures.  ...  The updating/change in network behaviour requires the manual reconfiguration (one by one) of the equipment.  ...  Then, the root cause is notified to the Decision Maker.  ... 
doi:10.3390/s17040731 pmid:28362346 pmcid:PMC5421691 fatcat:vzieymms6ff6bpfqnrefynpfwu

An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends [article]

Elie F. Kfoury, Jorge Crichigno, Elias Bou-Harb
2021 arXiv   pre-print
Based on the inferred variables, Dapper can identify the root cause of the bottleneck.  ...  EUCLID is based on information-theoretic and statistical analysis (entropy) to detect the attacks. Khooi et al.  ...  His research and development activities and interests focus on operational cyber security, attacks' detection and characterization, malware investigation, cyber security for critical infrastructure and  ... 
arXiv:2102.00643v2 fatcat:izxi645kozdc5ibfsqp2y2foau

A Security Monitoring Framework for Mobile Devices

António Lima, Luis Rosa, Tiago Cruz, Paulo Simões
2020 Electronics  
Moreover, device and information protection on mobile ecosystems are quite different from securing other device assets such as laptops or desktops, due to their specific characteristics and limitations—quite  ...  In addition to presenting the reference architecture for the proposed framework, several implementation aspects are also analyzed, based on the lessons learned from developing a proof-of-concept prototype  ...  This approach is named Exploratory Data Analysis (EDA) and its purpose is to suggest hypotheses about the causes of observations, assessing assumptions for statistical inference while supporting the selection  ... 
doi:10.3390/electronics9081197 fatcat:q4fwmzetijcp3hvr5pkxpf3eny

IPFS and Blockchain Based Reliability and Availability Improvement for Integrated Rivers' Streamflow Data

Muhammad Hussain Mughal, Zubair Ahmed Shaikh, Khurshed Ali, Safdar Ali, Saif Hassan
2022 IEEE Access  
The distributed river streamflow data measured and shared by distributed gauging officials and stored on the blockchain-based distributed storage system contributes to scalability, transparency, availability  ...  On one side, the streamflow data aggregation has consensus from streamflow assessment for software agents and stakeholders.  ...  The provenance of data is not maintained because no means to assess the root cause of the flood. Similarly, in the case of water theft, there is no mechanism.  ... 
doi:10.1109/access.2022.3178728 fatcat:chnxw4o7e5gvvpws76dfm2gfhy

An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends

Elie F. Kfoury, Jorge Crichigno, Elias Bou-Harb
2021 IEEE Access  
Based on the inferred variables, Dapper can identify the root cause of the bottleneck.  ...  EUCLID is based on information-theoretic and statistical analysis (entropy) to detect the attacks. Khooi et al.  ...  His research and development activities and interests focus on operational cyber security, attacks' detection and characterization, malware investigation, cyber security for critical infrastructure and  ... 
doi:10.1109/access.2021.3086704 fatcat:2jgbxj2cbfbp7fawkxwrztbbia

High Density Real-Time Air Quality Derived Services from IoT Networks

Claudio Badii, Stefano Bilotta, Daniele Cenni, Angelo Difino, Paolo Nesi, Irene Paoli, Michela Paolucci
2020 Sensors  
scattered), making it possible to cope with the scalability and providing support for on demand services to provide air quality data in any point of the city with dense data.  ...  In recent years, there is an increasing attention on air quality derived services for the final users.  ...  , alerting/warning on the basis of pollutant values, providing users with general information via mobile app and dashboards, may be as a support for what-if Analysis.  ... 
doi:10.3390/s20185435 pmid:32971888 pmcid:PMC7570470 fatcat:sq36ffj3anhq3cwk276h4ur5xi
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