Companion of the 2018 ACM/SPEC International Conference on Performance Engineering最新文献

Sampling-based Label Propagation for Balanced Graph Partitioning 基于采样的平衡图划分标签传播

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-01-01 DOI: 10.1145/3489525.3511698

Adnan El Moussawi, Ricardo Rojas Ruiz, Nacéra Bennacer Seghouani

引用次数: 0

ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022 ICPE '22: ACM/SPEC性能工程国际会议，北京，中国，2022年4月9日至13日

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-01-01 DOI: 10.1145/3489525

引用次数: 0

Enabling Containerized, Parametric and Distributed Database Deployment and Benchmarking as a Service 启用容器化、参数化和分布式数据库部署以及基准测试即服务

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451188

George Kousiouris, D. Kyriazis

{"title":"Enabling Containerized, Parametric and Distributed Database Deployment and Benchmarking as a Service","authors":"George Kousiouris, D. Kyriazis","doi":"10.1145/3447545.3451188","DOIUrl":"https://doi.org/10.1145/3447545.3451188","url":null,"abstract":"Containerized environments introduce a set of performance challenges that require extensive measurements and benchmarking to identify and model application behavior regarding a variety of parameters. Databases present extra challenges given their extensive need for synchronization and orchestration of a benchmark run, especially in microservice-oriented technologies (such as container platforms) and dynamic business models such as DBaaS. In this work we describe the adaptation of our open source, baseline load injection as a service tool, Flexibench, in order to enable the automated, parametric launching and measurement of containerized and distributed databases as a service. Adaptation and synchronization needs are described for ensuring test sequence and applied through a case study on MySQL. Therefore a performance engineer can directly test selected configuration and performance of a database in a given target workload with simple REST invocations. Experimentation starts from adapting the official MySQL docker images as well as OLTP Bench Client ones and investigates scenarios such as parameter sweep experiments and co-allocation scenarios where multiple DB instances are sharing physical nodes, as expected in the DBaaS paradigm.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87156672","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

How to Measure Scalability of Distributed Stream Processing Engines? 如何衡量分布式流处理引擎的可扩展性?

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451190

S. Henning, W. Hasselbring

引用次数: 15

Towards a Benchmark for Software Resource Efficiency 迈向软件资源效率基准

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451176

Norbert Schmitt, Richard Vobl, Andreas Brunnert, Samuel Kounev

{"title":"Towards a Benchmark for Software Resource Efficiency","authors":"Norbert Schmitt, Richard Vobl, Andreas Brunnert, Samuel Kounev","doi":"10.1145/3447545.3451176","DOIUrl":"https://doi.org/10.1145/3447545.3451176","url":null,"abstract":"Data centers already account for over 250TWh of energy usage every year and their energy demand will grow above 1PWh until 2030 even in the best-case scenarios of some studies. As this demand cannot be met with renewable sources as of today, this growth will lead to a further increase of CO2 emissions. The data center growth is mainly driven by software resource usage but most of the energy efficiency improvements are nowadays done on hardware level that cannot compensate the demand. To reduce the resource demand of software in data centers one needs to be able to quantify its resource usage. Therefore, we propose a benchmark to assess the resource consumption of data center software (i.e., cloud applications) and make the resource usage of standard application types comparable between vendors. This benchmark aims to support three main goals (i) software vendors should be able to get an understanding of the resource consumption of their software; (ii) software buyers should be able to compare the software of different vendors; and (iii) spark competition between the software vendors to make their software more efficient and thus, in the long term, reduce the data center growth as the software systems require less resources.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88838393","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: 2

Performance Evaluation and Improvement of Real-Time Computer Vision Applications for Edge Computing Devices 边缘计算设备实时计算机视觉应用的性能评估与改进

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451202

Julian Gutierrez, Nicolas Bohm Agostini, D. Kaeli

{"title":"Performance Evaluation and Improvement of Real-Time Computer Vision Applications for Edge Computing Devices","authors":"Julian Gutierrez, Nicolas Bohm Agostini, D. Kaeli","doi":"10.1145/3447545.3451202","DOIUrl":"https://doi.org/10.1145/3447545.3451202","url":null,"abstract":"Advances in deep neural networks have provided a significant improvement in accuracy and speed across a large range of Computer Vision (CV) applications. However, our ability to perform real-time CV on edge devices is severely restricted by their limited computing capabilities. In this paper we employ Vega, a parallel graph-based framework, to study the performance limitations of four heterogeneous edge-computing platforms, while running 12 popular deep learning CV applications. We expand the framework's capabilities, introducing two new performance enhancements: 1) an adaptive stage instance controller (ASI-C) that can improve performance by dynamically selecting the number of instances for a given stage of the pipeline; and 2) an adaptive input resolution controller (AIR-C) to improve responsiveness and enable real-time performance. These two solutions are integrated together to provide a robust real-time solution. Our experimental results show that ASI-C improves run-time performance by 1.4x on average across all heterogeneous platforms, achieving a maximum speedup of 4.3x while running face detection executed on a high-end edge device. We demonstrate that our integrated optimization framework improves performance of applications and is robust to changing execution patterns.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79593254","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

Comparison of Object Detectors for Fully Autonomous Aerial Systems Performance 全自主航空系统中目标探测器性能的比较

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451170

Bowen Li, Nat Shineman, Jayson G. Boubin, Christopher Stewart

{"title":"Comparison of Object Detectors for Fully Autonomous Aerial Systems Performance","authors":"Bowen Li, Nat Shineman, Jayson G. Boubin, Christopher Stewart","doi":"10.1145/3447545.3451170","DOIUrl":"https://doi.org/10.1145/3447545.3451170","url":null,"abstract":"Unmanned aerial vehicles (UAVs) are gaining popularity in many governmental and civilian sectors. The combination of aerial mobility and data sensing capabilities facilitates previously impossible workloads. UAVs are normally piloted by remote operators who determine where to fly and when to sense data, but operations over large areas put a heavy burden on human pilots. Fully autonomous aerial systems (FAAS) have emerged as an alternative to human piloting by using software combined with edge and cloud hardware to execute autonomous UAV missions. The compute and networking infrastructure required for autonomy has significant power and performance demands. FAAS deployed in remote environments, such as crop fields, must manage limited power and networking capabilities. To facilitate widespread adoption of FAAS, middleware must support heterogeneous compute and networking resources at the edge while ensuring that the workloads quickly produce effective and efficient autonomous flight paths. Object detectors are a vital component of FAAS. FAAS flight mission goals and flight path generation are often focused on locating and photographing phenomena identified using object detectors. Given the importance of object detection to FAAS, it is paramount that object detectors produce accurate results as quickly and efficiently as possible to elongate FAAS missions and save precious energy. In this poster, we analyze the performance of different object detection techniques for facial recognition, a core FAAS workload. We analyzed the accuracy and performance of three facial recognition techniques provided in SoftwarePilot, an FAAS middleware, on two architectural configurations for FAAS edge systems. These findings can be used when selecting an object detector for any FAAS mission type and hardware configuration.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75640394","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

Towards Elastic and Sustainable Data Stream Processing on Edge Infrastructure 面向边缘基础设施的弹性和可持续数据流处理

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451902

Marcos Dias de Assunção

引用次数: 0

Performance Models of Event-Driven Architectures 事件驱动架构的性能模型

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451203

C. Woodside

引用次数: 0

Performance Modelling of Intelligent Transportation Systems: Experience Report 智能交通系统的性能建模:经验报告

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI: 10.1145/3447545.3451205

Lorenzo Pagliari, Mirko D'Angelo, M. Caporuscio, R. Mirandola, Catia Trubiani

引用次数: 0