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Companion of the 2023 ACM/SPEC International Conference on Performance Engineering最新文献

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Quantitative Analysis of Software Designs: Teaching Design and Experiences 软件设计的定量分析:教学设计与经验
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584357
Alireza Hakamian, Steffen Becker
{"title":"Quantitative Analysis of Software Designs: Teaching Design and Experiences","authors":"Alireza Hakamian, Steffen Becker","doi":"10.1145/3578245.3584357","DOIUrl":"https://doi.org/10.1145/3578245.3584357","url":null,"abstract":"Context. The Software Quality and Architecture group (SQA) at the University of Stuttgart offers the Quantitative Analysis of Software Designs (QASD) course for master students. The goal is to give students the necessary skill to evaluate architecture alternatives of software systems quantitatively. The course offers a combination of required theoretical skills, such as applying stochastic processes and practical exercises using suitable tools. The challenge is providing teaching materials that balance necessary theoretical knowledge and appropriate tooling that can be used in practice. As a solution, the course is designed so that one-third is about the formalisms behind quantitative analysis, including stochastic processes and queuing theory. One-third is modeling languages, such as queuing networks, UML, and UML profiles, including MARTE. The other one-third uses tooling to model and analyze example systems. During Corona, we provided students with an e-learning module with pre-recorded videos, online quizzes at the end of every chapter, and a virtual machine that pre-installed all the required tooling for the exercise sheets. Final-remarks. In the past two years, students' feedback was often positive regarding the balance between theory and tooling. However, it has to be emphasized that the number of students participating in the course has always been no more than ten. Hence, the student feedback has not been collected by the universities' survey.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121310586","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
Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning 图形审查者:走向大规模图形分析和推理
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585338
Jože M. Rožanec, Michael Cochez, Ruud van Bakel, B. Elvesæter, D. Roman
{"title":"Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning","authors":"Jože M. Rožanec, Michael Cochez, Ruud van Bakel, B. Elvesæter, D. Roman","doi":"10.1145/3578245.3585338","DOIUrl":"https://doi.org/10.1145/3578245.3585338","url":null,"abstract":"Graphs can represent various phenomena and are increasingly used to tackle complex problems. Among the challenges associated with graph processing is the ability to analyze and mine massive-scale graphs. While the massive scale is usually associated with distributed systems, the complex nature of graphs makes them an exception to the rule. Currently, most graph processing is performed within a single computer. In this research, we describe a solution at a conceptual level in the context of the Graph-Massivizer architecture. We use two approaches to provide graph analytics and querying functionalities at scale. First, we leverage graph sampling techniques to obtain relevant samples and avoid processing the whole graph. Second, we support heuristic and neural query execution engines. We envision an interface that will decide which queries to execute with a given engine, given constraints (e.g., execution time boundaries, exactness of results, energy saving requirements).","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123191388","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
Software Mining -- Investigating Correlation between Source Code Features and Michrobenchmark's Steady State 软件挖掘——调查源代码特性与microbenchmark稳定状态之间的相关性
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584695
Amirmahdi Khosravi Tabrizi, Naser Ezzati-Jivan
{"title":"Software Mining -- Investigating Correlation between Source Code Features and Michrobenchmark's Steady State","authors":"Amirmahdi Khosravi Tabrizi, Naser Ezzati-Jivan","doi":"10.1145/3578245.3584695","DOIUrl":"https://doi.org/10.1145/3578245.3584695","url":null,"abstract":"Microbenchmarking is a widely used method for evaluating the performance of a piece of code. However, the results of microbenchmarks for applications that utilize the Java Virtual Machine (JVM) are often unstable during the initial phase of execution, known as the warmup phase. This is due to the JVM's use of just-in-time compiler optimization, which is to identify and compile a \"hot set\" of important code regions. In this study we examine the static features of 586 microbenchmarks from 30 Java applications. To do so, we first extract static source code features of the benchmarks and then employ manual and descriptive data mining methods to identify meaningful correlations between these static features and the benchmarks' ability to reach a steady state. Our findings indicate that the number of function calls and lines of code have a considerable influence on whether or not the microbenchmarks reach a steady state.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117086771","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
Theory and Practice in Performance Evaluation Courses: The Challenge of Online Teaching 绩效评估课程的理论与实践:网络教学的挑战
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584353
Andrea Marin
{"title":"Theory and Practice in Performance Evaluation Courses: The Challenge of Online Teaching","authors":"Andrea Marin","doi":"10.1145/3578245.3584353","DOIUrl":"https://doi.org/10.1145/3578245.3584353","url":null,"abstract":"This paper reports the experience gained over several years of teaching the course entitled Software performance and scalability at the University Ca' Foscari of Venice. The course is taken by perspective computer scientists and is taught at the master's level. It covers the topics of modeling and assessment of the performance properties of software systems. In this paper, we will also devote attention to the challenge of online teaching due to the pandemic conditions. Finally, we propose some auspices for the community to collect material for structured courses on performance and reliability evaluation topics.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131511219","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
ICPE'23 PFAIR Workshop Chairs Introduction ICPE'23 PFAIR工作坊椅子介绍
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585019
J. Lofstead, Paula Olaya
{"title":"ICPE'23 PFAIR Workshop Chairs Introduction","authors":"J. Lofstead, Paula Olaya","doi":"10.1145/3578245.3585019","DOIUrl":"https://doi.org/10.1145/3578245.3585019","url":null,"abstract":"It is our great pleasure to welcome you to the 2023 ACM Practically FAIR - PFAIR 2023. This workshop builds upon the popular FAIR data principles to investigate and share best practices for adopting FAIR principles in practice. The FAIR proposal only covers some computing and science domains while leaving many unconsidered and also does not prescribe how to achieve the standards in the ideal. As researchers and practitioners begin to meet these standards, we, as a community, need to agree upon what constitutes meeting the principles and how it can be validated. We had a call for research and experience papers and received one submission that met our peer review standards and will fill out our program with a keynote as well as a panel and open discussion.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121940219","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
Performance Experiences From Running An E-health Inference Process As FaaS Across Diverse Clusters 跨不同集群运行作为FaaS的电子健康推断过程的性能体验
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585023
George Kousiouris, Aristodemos Pnevmatikakis
{"title":"Performance Experiences From Running An E-health Inference Process As FaaS Across Diverse Clusters","authors":"George Kousiouris, Aristodemos Pnevmatikakis","doi":"10.1145/3578245.3585023","DOIUrl":"https://doi.org/10.1145/3578245.3585023","url":null,"abstract":"In this paper we report our experiences from the migration of an AI model inference process, used in the context of an E-health platform to the Function as a Service model. To that direction, a performance analysis is applied, across three available Cloud or Edge FaaS clusters based on the open source Apache Openwhisk FaaS platform. The aim is to highlight differences in performance based on the characteristics of each cluster, the request rates and the parameters of Openwhisk. The conclusions can be applied for understanding the expected behavior of the inference function in each of these clusters as well as the effect of the Openwhisk execution model. Key observations and findings are reported on aspects such as function execution duration, function sizing, wait time in the system, network latency and concurrent container overheads for different load rates. These can be used to detect in a black box manner capabilities of unknown clusters, guide or fine-tune performance models as well as private cloud FaaS deployment setup.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122631897","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
Analysing Static Source Code Features to Determine a Correlation to Steady State Performance in Java Microbenchmarks 分析静态源代码特性以确定Java微基准测试中稳定状态性能的相关性
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584692
Jared Chad Swanzen, Kyle Thomas Botes, Husnaa Molvi, Omphile Monchwe, Dan Phala, Dustin van der Haar
{"title":"Analysing Static Source Code Features to Determine a Correlation to Steady State Performance in Java Microbenchmarks","authors":"Jared Chad Swanzen, Kyle Thomas Botes, Husnaa Molvi, Omphile Monchwe, Dan Phala, Dustin van der Haar","doi":"10.1145/3578245.3584692","DOIUrl":"https://doi.org/10.1145/3578245.3584692","url":null,"abstract":"Source code analysis is an important aspect of software development that provides insight into a program's quality, security and performance. There are few methods for consistently predicting or determining when a written piece of code will end its warm-up state and proceed to a steady state. In this study, we use the data gathered by the SEALABQualityGroup at the University of L'Aquila and Charles University and extend their research of steady state analysis to determine whether certain source code features could provide a basis for developers to make more informed predictions on when a steady state would occur. We explore if there is a direct correlation between source code features on the time and ability of a Java microbenchmark to reach a steady state to build a machine learning-based approach for steady-state prediction. We found that the correlation between source code features and the probability of reaching a steady state go as high as 10.9% for Pearson's correlation coefficient, whereas the correlation between source code features and the time it takes to reach a steady state go as high as 21.6% for Spearman's correlation coefficient. Our results also show that a K Nearest Neighbour Classifier with features selected with either Spearman's or Kendall's correlation coefficient boasts an accuracy of 78.6%.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125358898","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
metaphactory for Massive Graphs 海量图的隐喻
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585330
Aaron Eberhart, P. Haase, Wolfgang Schell
{"title":"metaphactory for Massive Graphs","authors":"Aaron Eberhart, P. Haase, Wolfgang Schell","doi":"10.1145/3578245.3585330","DOIUrl":"https://doi.org/10.1145/3578245.3585330","url":null,"abstract":"Knowledge Graphs and semantic technologies allow scientists and domain experts to model complex relations between data in a logically structured and machine readable format. metaphactory is a platform that enables users to build these kinds of semantic graphs easily and efficiently. metaphactory uses standards such as RDF in combination with OWL, SKOS, SHACL, and others to provide a flexible endpoint to interact with graphs of varying complexity and expressivity. As part of the Graph-Massivizer project, metaphactory is supporting integration and infrastructure consolidation for components developed in the project. Part of this work is to develop a toolkit which metaphactory uses to process very large graphs without sacrificing sustainability. In this paper we describe in detail the metaphactory platform and how it supports large-scale graph processing in the Graph-Massivizer project, as well as outlining the current efforts within the project and how they aim to increase capabilities in the present to support future work.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133607331","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
PerfoRT: A Tool for Software Performance Regression 一个软件性能回归的工具
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584928
P. R. Farah, S. Vergilio
{"title":"PerfoRT: A Tool for Software Performance Regression","authors":"P. R. Farah, S. Vergilio","doi":"10.1145/3578245.3584928","DOIUrl":"https://doi.org/10.1145/3578245.3584928","url":null,"abstract":"In this paper, we present PerfoRT, a tool to ease software performance regression measurement of Java systems. Its main characteristics include: minimal configuration to ease automation and hide complexity to the end user; a broad scope of performance metrics including system, process, JVM, and tracing; and presentation of the results from a developer's perspective. We show some of its features in a usage example using Apache Commons BCEL project.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132731686","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
Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications 使用强化学习控制分布式应用程序的自动扩展
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585427
Gabriele Russo Russo
{"title":"Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications","authors":"Gabriele Russo Russo","doi":"10.1145/3578245.3585427","DOIUrl":"https://doi.org/10.1145/3578245.3585427","url":null,"abstract":"Modern distributed systems can benefit from the availability of large-scale and heterogeneous computing infrastructures. However, the complexity and dynamic nature of these environments also call for self-adaptation abilities, as guaranteeing efficient resource usage and acceptable service levels through static configurations is very difficult. In this talk, we discuss a hierarchical auto-scaling approach for distributed applications, where application-level managers steer the overall process by supervising component-level adaptation managers. Following a bottom-up approach, we first discuss how to exploit model-free and model-based reinforcement learning to compute auto-scaling policies for each component. Then, we show how Bayesian optimization can be used to automatically configure the lower-level auto-scalers based on application-level objectives. As a case study, we consider distributed data stream processing applications, which process high-volume data flows in near real-time and cope with varying and unpredictable workloads.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130794428","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
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