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

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An Analysis of Workflow Formalisms for Workflows with Complex Non-Functional Requirements 复杂非功能需求工作流的工作流形式化分析
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186297
L. Versluis, Erwin Van Eyk, A. Iosup
{"title":"An Analysis of Workflow Formalisms for Workflows with Complex Non-Functional Requirements","authors":"L. Versluis, Erwin Van Eyk, A. Iosup","doi":"10.1145/3185768.3186297","DOIUrl":"https://doi.org/10.1145/3185768.3186297","url":null,"abstract":"Cloud and datacenter operators offer progressively more sophisticated service level agreements to customers. The Quality-of-Service guarantees by these operators have started to entail non-functional requirements customers have regarding their applications. At the same time, expressing applications as workflows in datacenters is increasingly more common. Currently, non-functional requirements (NFRs) can only be defined on entire workflows and cannot be changed at runtime, possibly wasting valuable resources. To move towards modifiable NFRs at the task level, there is a need for a formalism capable of expressing this. Existing formalisms do not support this level of granularity or are restricted to a subset of NFRs. In this work, we investigate the current support for NFRs in existing formalisms. Using a library containing workflows with and without NFRs, we inspect the capability of existing formalisms to express these requirements. Additionally, we create and evaluate five metrics to qualitatively and quantitatively compare each formalism. Our main findings are that although current formalisms do not support arbitrary NFRs per-task, the Directed Acyclic Graphs (DAGs) formalism is the most suitable to extend.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75523326","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: 12
ABench: Big Data Architecture Stack Benchmark abbench:大数据架构堆栈基准
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186300
Todor Ivanov, Rekha Singhal
{"title":"ABench: Big Data Architecture Stack Benchmark","authors":"Todor Ivanov, Rekha Singhal","doi":"10.1145/3185768.3186300","DOIUrl":"https://doi.org/10.1145/3185768.3186300","url":null,"abstract":"Distributed big data processing and analytics applications demand a comprehensive end-to-end architecture stack consisting of big data technologies. However, there are many possible architecture patterns (e.g. Lambda, Kappa or Pipeline architectures) to choose from when implementing the application requirements. A big data technology in isolation may be best performing for a particular application, but its performance in connection with other technologies depends on the connectors and the environment. Similarly, existing big data benchmarks evaluate the performance of different technologies in isolation, but no work has been done on benchmarking big data architecture stacks as a whole. For example, BigBench (TPCx-BB) may be used to evaluate the performance of Spark, but is it applicable to PySpark or to Spark with Kafka stack as well? What is the impact of having different programming environments and/or any other technology like Spark? This vision paper proposes a new category of benchmark, called ABench, to fill this gap and discusses key aspects necessary for the performance evaluation of different big data architecture stacks.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76737163","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: 7
Tools for Declarative Performance Engineering 声明性性能工程的工具
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3185777
J. Walter, Simon Eismann, Johannes Grohmann, Dusan Okanovic, Samuel Kounev
{"title":"Tools for Declarative Performance Engineering","authors":"J. Walter, Simon Eismann, Johannes Grohmann, Dusan Okanovic, Samuel Kounev","doi":"10.1145/3185768.3185777","DOIUrl":"https://doi.org/10.1145/3185768.3185777","url":null,"abstract":"Performance is of particular relevance to software system design, operation, and evolution. However, the application of performance engineering approaches to solve a given user concern is challenging and requires expert knowledge. In this tutorial paper, we guide the reader step-by-step through the answering of performance concerns following the idea of declarative performance engineering. We explain tools available online, which can be used for automating huge parts of the software performance engineering process. In particular, we present a performance concern language, for which we provide automated answering and visualization referring to measurement-based and model-based analysis. We also detail how to derive performance models using automated extraction of architectural performance models and modeling of parametric dependencies.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79824705","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: 7
Towards Automating Representative Load Testing in Continuous Software Engineering 面向持续软件工程中代表性负载测试的自动化
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186288
Henning Schulz, Tobias Angerstein, A. Hoorn
{"title":"Towards Automating Representative Load Testing in Continuous Software Engineering","authors":"Henning Schulz, Tobias Angerstein, A. Hoorn","doi":"10.1145/3185768.3186288","DOIUrl":"https://doi.org/10.1145/3185768.3186288","url":null,"abstract":"As an application's performance can significantly impact the user satisfaction and, consequently, the business success, companies need to test performance before delivery. Though load testing allows for testing the performance under representative load by simulating user behavior, it typically entails high maintenance and execution overhead, hindering application in practice. With regard to the trend of continuous software engineering with its parallel and frequently executed delivery pipelines, load testing is even harder to be applied. In this paper, we present our vision of automated, context-specific and low-overhead load testing in continuous software engineering. First, we strive for reducing the maintenance overhead by evolving manual adjustments to generated workload models over a changing environment. Early evaluation results show a seamless evolution over changing user behavior. Building on this, we intend to significantly reduce the execution time and required resources by introducing online-generated load tests that precisely address the relevant context and services under test. Finally, we investigate minimizing the amount of components to be deployed by utilizing load-test-capable performance stubs.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78256895","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: 16
The Vision of Self-aware Reordering of Security Network Function Chains 安全网络功能链自我意识重构的视角
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186309
Lukas Iffländer, J. Walter, Simon Eismann, Samuel Kounev
{"title":"The Vision of Self-aware Reordering of Security Network Function Chains","authors":"Lukas Iffländer, J. Walter, Simon Eismann, Samuel Kounev","doi":"10.1145/3185768.3186309","DOIUrl":"https://doi.org/10.1145/3185768.3186309","url":null,"abstract":"Services provided online are subject to various types of attacks. Security appliances can be chained to protect a system against multiple types of network attacks. The sequence of appliances has a significant impact on the efficiency of the whole chain. While the operation of security appliance chains is currently based on a static order, traffic-aware reordering of security appliances may significantly improve efficiency and accuracy. In this paper, we present the vision of a self-aware system to automatically reorder security appliances according to incoming traffic. To achieve this, we propose to apply a model-based learning, reasoning, and acting (LRA-M) loop. To this end, we describe a corresponding system architecture and explain its building blocks.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79452910","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: 6
Performance Modelling of Smart Cyber-Physical Systems 智能信息物理系统的性能建模
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186306
T. Bures, V. Matena, R. Mirandola, Lorenzo Pagliari, Catia Trubiani
{"title":"Performance Modelling of Smart Cyber-Physical Systems","authors":"T. Bures, V. Matena, R. Mirandola, Lorenzo Pagliari, Catia Trubiani","doi":"10.1145/3185768.3186306","DOIUrl":"https://doi.org/10.1145/3185768.3186306","url":null,"abstract":"Context: the dynamic nature of complex Cyber-Physical Systems (CPS) introduces new research challenges since they need to smartly self-adapt to changing situations in their environment. This triggers the usage of methodologies that keep track of changes and raise alarms whether extra-functional requirements (e.g., safety, reliability, performance) are violated. Objective: this paper investigates the usage of software performance engineering techniques as support to provide a model-based performance evaluation of smart CPS. The goal is to understand at which extent performance models, specifically Queueing Networks (QN), are suitable to represent these dynamic scenarios. Method and Results: we evaluate the performance characteristics of a smart parking application where cars need to communicate with hot-spots to find an empty spot to park. Through QN we are able to efficiently derive performance predictions that are compared with long-run simulations, and the relative error of model-based analysis results is no larger than 10% when transient or congestion states are discarded. Conclusion: the usage of performance models is promising in this domain and our goal is to experiment further performance models in other CPS case studies to assess their effectiveness.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89965767","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: 13
Trace Checking of Streaming Applications through DICE-TraCT 通过DICE-TraCT的流应用跟踪检查
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186287
M. Bersani, F. Marconi, M. Rossi
{"title":"Trace Checking of Streaming Applications through DICE-TraCT","authors":"M. Bersani, F. Marconi, M. Rossi","doi":"10.1145/3185768.3186287","DOIUrl":"https://doi.org/10.1145/3185768.3186287","url":null,"abstract":"This paper introduces DICE-TraCT, the tool---part of the DICE toolchain---that allows developers of Data Intensive Applications to analyze traces of executions of such applications and detect deviations from the expected behavior. The tool works in tandem with the companion formal verification tool D-VerT, to check that the parameters used for the sizing of applications and that guarantee the desired safety and timing properties are indeed correct.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80013694","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: 1
Investigation of Replication Factor for Performance Enhancement in the Hadoop Distributed File System Hadoop分布式文件系统中用于性能提升的复制因子研究
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186359
Hilmi Egemen Ciritoglu, Leandro Batista de Almeida, E. Almeida, Teodora Sandra Buda, John Murphy, Christina Thorpe
{"title":"Investigation of Replication Factor for Performance Enhancement in the Hadoop Distributed File System","authors":"Hilmi Egemen Ciritoglu, Leandro Batista de Almeida, E. Almeida, Teodora Sandra Buda, John Murphy, Christina Thorpe","doi":"10.1145/3185768.3186359","DOIUrl":"https://doi.org/10.1145/3185768.3186359","url":null,"abstract":"The massive growth in the volume of data and the demand for big data utilisation has led to an increasing prevalence of Hadoop Distributed File System (HDFS) solutions. However, the performance of Hadoop and indeed HDFS has some limitations and remains an open problem in the research community. The ultimate goal of our research is to develop an adaptive replication system; this paper presents the first phase of the work - an investigation into the replication factor used in HDFS to determine whether increasing the replication factor for in-demand data can improve the performance of the system. We constructed a physical Hadoop cluster for our experimental environment, using TestDFSIO and both the real world and the synthetic data sets, NOAA and TPC-H, with Hive to validate our proposal. Results show that increasing the replication factor of the »hot» data increases the availability and locality of the data, and thus, decreases the job execution time.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86366268","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: 8
SPEC CPU2017: Next-Generation Compute Benchmark SPEC CPU2017:下一代计算基准
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3185771
James Bucek, K. Lange, J. V. Kistowski
{"title":"SPEC CPU2017: Next-Generation Compute Benchmark","authors":"James Bucek, K. Lange, J. V. Kistowski","doi":"10.1145/3185768.3185771","DOIUrl":"https://doi.org/10.1145/3185768.3185771","url":null,"abstract":"Description of the new features of the SPEC CPU2017 industry standard benchmark and its metric calculations.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"123 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83873519","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: 185
Better Early Than Never: Performance Test Acceleration by Regression Test Selection 早做总比不做好:通过回归测试选择加速性能测试
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2018-04-02 DOI: 10.1145/3185768.3186289
D. Reichelt, Stefan Kühne
{"title":"Better Early Than Never: Performance Test Acceleration by Regression Test Selection","authors":"D. Reichelt, Stefan Kühne","doi":"10.1145/3185768.3186289","DOIUrl":"https://doi.org/10.1145/3185768.3186289","url":null,"abstract":"Currently, performance tests take much time and are therefore not able to provide fast feedback. Fast feedback on performance tests would support finding performance problems. In order to accelerate performance tests we provide a regression test selection method for performance tests. It is based on test selection by (1) code analysis and (2) trace analysis. We show the efficiency of our approach by comparison with the test selection tools EKSTAZI and Infinitest.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84394892","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: 8
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