Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion最新文献_第2页

Learning Performance Engineering through Applications 通过应用程序学习性能工程

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053639

G. Serazzi

引用次数: 1

A Generic Platform for Transforming Monitoring Data into Performance Models 将监控数据转换为性能模型的通用平台

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053635

Jonas Kunz, Christoph Heger, R. Heinrich

{"title":"A Generic Platform for Transforming Monitoring Data into Performance Models","authors":"Jonas Kunz, Christoph Heger, R. Heinrich","doi":"10.1145/3053600.3053635","DOIUrl":"https://doi.org/10.1145/3053600.3053635","url":null,"abstract":"The performance of software systems is an ongoing issue in the industry, including the development of corresponding performance models. Recently several approaches for deriving such performance models from monitoring data have been proposed. A current limitation of these approaches is that most of them are bound to certain monitoring tools for providing the data, limiting their applicability. We therefore propose a generic platform for transforming monitoring data into performance models, encapsulating these approaches for deriving performance models. This platform gives the flexibility of exchanging the monitoring tool or the used performance modeling approach, allowing more comprehensive performance analysis without additional manual transformation work. A seamless exchangeability of the performance modeling approach enables the generation of different types of performance models based on the same monitoring data, while the exchangeability of the monitoring tool enables the same approaches to be employed on a wider range of systems, as often the applicability of certain monitoring tools is limited by environmental properties. In addition, the generic nature of the platform aims to support the rapid development of prototypes of new, upcoming ideas within the context of performance modeling based on monitoring data. During our evaluation we examine the quality of our approach in terms of accuracy and scalability. We show that our platform for transforming monitoring data into performance models scales with a very low overhead and that the results of the integrated performance modeling approaches are very accurate in comparison to the results of the non-integrated versions.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123820270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Towards DevOps for Privacy-by-Design in Data-Intensive Applications: A Research Roadmap 面向数据密集型应用中隐私设计的DevOps:研究路线图

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053631

M. Guerriero, D. Tamburri, Y. Ridene, F. Marconi, M. Bersani, Matej Artac

引用次数: 6

Modeling Expands Value of Performance Testing for Big Data Applications 建模扩展了大数据应用性能测试的价值

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053624

B. Zibitsker, Alex Lupersolsky

引用次数: 1

A Cloud-Based Energy Management System for Building Managers 楼宇管理人员的云端能源管理系统

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053613

C. Marmaras, Amir Javed, O. Rana, L. Cipcigan

引用次数: 6

Model-driven Generation of Microservice Architectures for Benchmarking Performance and Resilience Engineering Approaches 模型驱动的微服务架构生成，用于性能基准测试和弹性工程方法

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053627

Thomas F. Düllmann, A. Hoorn

引用次数: 25

Powering the Service Responsiveness of Deep Neural Networks: How Queueing Models can Help 增强深度神经网络的服务响应能力:排队模型如何提供帮助

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053620

E. Smirni

{"title":"Powering the Service Responsiveness of Deep Neural Networks: How Queueing Models can Help","authors":"E. Smirni","doi":"10.1145/3053600.3053620","DOIUrl":"https://doi.org/10.1145/3053600.3053620","url":null,"abstract":"Deep neural networks (DNNs) enable a host of artificial intelligence applications. These applications are supported by large DNN models running in serving mode often on a cloud computing infrastructure. Given the compute-intensive nature of large DNN models, a key challenge for DNN serving systems is to minimize user request response latencies. We show and model two important properties of DNN workloads that can allow for the use of queueing network models for predicting user request latencies: homogeneous request service demands and performance interference among requests running concurrently due to cache/memory contention. These properties motivate the design of a dynamic scheduling framework that is powered by an interference-aware queueing-based analytic model. The framework is evaluated in the context of an image classification service using several well known benchmarks. The results demonstrate its accurate latency prediction and its ability to adapt to changing load conditions, thanks to the fast deployment and accuracy of analytic queuing models. This work is in collaboration with Feng Yan of the University of Nevada at Reno, and Yuxiong He and Olatunji Ruwase of Microsoft Research.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130700951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quality Assessment in DevOps: Automated Analysis of a Tax Fraud Detection System DevOps中的质量评估:税务欺诈检测系统的自动分析

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053632

Diego Perez-Palacin, Y. Ridene, J. Merseguer

引用次数: 9

Session details: Third International Workshop on Quality-aware DevOps (QUDOS'17) 会议详情:第三届质量意识开发运维国际研讨会(QUDOS'17)

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3254604

D. Ardagna, G. Casale, A. Hoorn, Felix Willnecker, E. D. Nitto, P. Leitner

引用次数: 0

SPE for the Internet of Things and Other Real-Time Embedded Systems 物联网和其他实时嵌入式系统的SPE

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053652

C. U. Smith, Catalina M. Lladó

{"title":"SPE for the Internet of Things and Other Real-Time Embedded Systems","authors":"C. U. Smith, Catalina M. Lladó","doi":"10.1145/3053600.3053652","DOIUrl":"https://doi.org/10.1145/3053600.3053652","url":null,"abstract":"When real-time embedded systems fail: patients die, warships shoot passenger jets, airplanes crash, cars stop on freeways or accelerate uncontrollably, and other documented problems. Preventing these problems saves lives, money, enables faster delivery, improves architectures, and improves performance. Performance engineering enables developers to predict performance, identify, and correct problems before products are built that contain serious potential failures. This paper examines current technical and performance issues in real-time embedded systems (RTES) including software and systems developed for the Internet of Things (IoT).We describe the model interoperability framework that uses Model Interchange Formats (MIFs) to exchange performance models among modeling tools. Performance models for RTES or IoT require the representation of additional features, and solution methods beyond efficient, exact model solutions. We introduce the extensions then describe the extended meta-model for the model interoperability framework. We conclude with an evaluation of the approach and how it can be used for performance evaluation of RTES and IoT.While our work specifically focused on RTES and IoT features, the results are applicable to the performance evaluation of many different types of systems.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114360890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3