Companion of the 2022 ACM/SPEC International Conference on Performance Engineering最新文献_第2页

Experience and Guidelines for Sorting Algorithm Choices and Their Energy Efficiency 排序算法选择及其能量效率的经验和指南

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527468

Maximilian Meissner, Supriya Kamthania, Nishant Rawtani, James Bucek, K. Lange, Samuel Kounev

{"title":"Experience and Guidelines for Sorting Algorithm Choices and Their Energy Efficiency","authors":"Maximilian Meissner, Supriya Kamthania, Nishant Rawtani, James Bucek, K. Lange, Samuel Kounev","doi":"10.1145/3491204.3527468","DOIUrl":"https://doi.org/10.1145/3491204.3527468","url":null,"abstract":"Energy efficiency has become a major concern in the IT sector as the energy demand for data centers is projected to reach 1PWh per year by 2030. While hardware designers improve the energy efficiency of their products, software developers often do not consider or are unaware of the impact their design choices can make on the energy consumption caused by the execution of their applications. Energy efficiency improvements in applications can, to a certain extent, be achieved through compiler optimizations. Nonetheless, software developers should still make reasonable design choices to improve energy efficiency further. In this paper, we present the energy efficiency of common sorting algorithms under different pre-sorted conditions. Previous work in this field considered only randomized data. We expand on this previous work and measure the sorting algorithms' energy efficiency when the data is already partially sorted to 20% and 50%. Our presented experience is a case study intended to demonstrate the effect simple design choices, such as the selection of algorithm as well as its implementation, can make on energy efficiency. It is intended for industry practitioners to aid them in selecting a more energy-efficient algorithm for their problems at hand through helpful guidelines. Our results also can function as an incentive to make energy efficiency a non-functional requirement for tenders, and as a motivation for researchers to include energy efficiency as an additional quality criterion when studying the properties of algorithms.","PeriodicalId":129216,"journal":{"name":"Companion of the 2022 ACM/SPEC International Conference on Performance Engineering","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127035469","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

B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks B-MEG:使用图神经网络的瓶颈微服务提取

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527494

Gagan Somashekar, Anurag Dutt, R. Vaddavalli, Sai Bhargav Varanasi, Anshul Gandhi

引用次数: 4

Benchmarking Runtime Scripting Performance in Wasmer 在Wasmer中测试运行时脚本性能

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527477

Devon Hockley, C. Williamson

引用次数: 3

SPEC Efficiency Benchmark Development: How to Contribute to the Future of Energy Conservation SPEC效率基准开发:如何为节能的未来做出贡献

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527492

Maximilian Meissner, K. Lange, J. Arnold, Sanjay Sharma, Roger Tipley, Nishant Rawtani, D. Reiner, Mike Petrich, Aaron Cragin

{"title":"SPEC Efficiency Benchmark Development: How to Contribute to the Future of Energy Conservation","authors":"Maximilian Meissner, K. Lange, J. Arnold, Sanjay Sharma, Roger Tipley, Nishant Rawtani, D. Reiner, Mike Petrich, Aaron Cragin","doi":"10.1145/3491204.3527492","DOIUrl":"https://doi.org/10.1145/3491204.3527492","url":null,"abstract":"A driving force behind the improvement of server efficiency in recent years is the use of SPEC benchmarks. They are used in mandatory government regulations, the ISO/IEC 21836:2020 standard, and product marketing, giving server manufacturers and buyers significant incentive to improve energy efficiency. To produce relevant results, benchmarks need to take into account future trends in hardware and software development, such as the introduction of new accelerators and workloads. To keep pace with the development of the fast moving IT landscape, SPEC plans to introduce a workload bounty program to encourage researchers to develop novel workloads. Submitted workloads will be considered for inclusion in future SPEC Efficiency benchmarks and rewarded. In this paper, we outline the process of energy-efficiency benchmark development. SPEC ensures the development of high-quality benchmarks for government regulations through its extensive experience and collaboration with stakeholders from industry, academia, and governments. One of the tools that emerged from this process is the Chauffeur Worklet Development Kit (WDK), which can be used by researchers to develop next-generation workloads to enhance the real-world relevance of future SPEC benchmarks, a critical element for the benchmarks to contribute to future energy conservation.","PeriodicalId":129216,"journal":{"name":"Companion of the 2022 ACM/SPEC International Conference on Performance Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114181759","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

Measuring Baseline Overheads in Different Orchestration Mechanisms for Large FaaS Workflows 在大型FaaS工作流的不同编排机制中测量基线开销

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527467

George Kousiouris, Chris Giannakos, K. Tserpes, Teta Stamati

{"title":"Measuring Baseline Overheads in Different Orchestration Mechanisms for Large FaaS Workflows","authors":"George Kousiouris, Chris Giannakos, K. Tserpes, Teta Stamati","doi":"10.1145/3491204.3527467","DOIUrl":"https://doi.org/10.1145/3491204.3527467","url":null,"abstract":"Serverless environments have attracted significant attention in recent years as a result of their agility in execution as well as inherent scaling capabilities as a cloud-native execution model. While extensive analysis has been performed in various critical performance aspects of these environments, such as cold start times, the aspect of workflow orchestration delays has been neglected. Given that this paradigm has become more mature in recent years and application complexity has started to rise from a few functions to more complex application structures, the issue of delays in orchestrating these functions may become severe. In this work, one of the main open source FaaS platforms, Openwhisk, is utilized in order to measure and investigate its orchestration delays for the main sequence operator of the platform. These are compared to delays included in orchestration of functions through two alternative means, including the execution of orchestrator logic functions in supporting runtimes based on Node-RED. The delays inserted by each different orchestration mode are measured and modeled, while boundary points of selection between each mode are presented, based on the number and expected delay of the functions that constitute the workflow. It is indicative that in certain cases, the orchestration overheads might range from 0.29% to 235% compared to the beneficial computational time needed for the workflow functions. The results can extend simulation and estimation mechanisms with information on the orchestration overheads.","PeriodicalId":129216,"journal":{"name":"Companion of the 2022 ACM/SPEC International Conference on Performance Engineering","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116408845","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

TaskFlow TaskFlow

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527466

L. Versluis, A. Iosup

引用次数: 1

FaaSET

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527464

R. Cordingly, W. Lloyd

引用次数: 2

Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper 使用时间序列分析和机器学习的性能变化点的自动分类:数据挑战论文

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527486

A. Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meissner, Samuel Kounev

引用次数: 3

Design-time Performability Optimization of Runtime Adaptation Strategies 运行时适应策略的设计时性能优化

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527471

Martina Rapp, Max Scheerer, Ralf H. Reussner

{"title":"Design-time Performability Optimization of Runtime Adaptation Strategies","authors":"Martina Rapp, Max Scheerer, Ralf H. Reussner","doi":"10.1145/3491204.3527471","DOIUrl":"https://doi.org/10.1145/3491204.3527471","url":null,"abstract":"Self-Adaptive Systems (SASs) adapt themselves to environmental changes during runtime to maintain Quality of Service (QoS) goals. Designing and optimizing the adaptation strategy of an SAS regarding its impact on quality properties is a challenging problem. Usually the design space of adaptation strategies is too large to be explored manually and, hence, requires automated support to find optimal strategies. Most approaches address this problem with optimization at runtime requiring the system is already implemented. However, one expects design-time optimized adaptation strategies to more effectively maintain QoS goals than purely runtime optimized strategies. Also formal guarantees benefit from designed and analysed strategies. We claim that design-time analysis and optimization of adaptation strategies improve in particular quality properties such as performability. To address the research gap between runtime optimization and the ability to make statements on the achieved quality, we envision an approach that builds upon the concept of Model-Based Quality Analysis (MBQA). Many approaches in MBQA address single aspects such as formal languages for adaptation strategies, architectural description languages or QoS prediction. However, they lack integration, which leads, for example to prediction approaches assuming rather static systems. In this paper, we envision an unified approach by considering several sub-approaches as building blocks for performability-based optimization of adaptation strategies at design-time.","PeriodicalId":129216,"journal":{"name":"Companion of the 2022 ACM/SPEC International Conference on Performance Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129736689","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

How is Transient Behavior Addressed in Practice?: Insights from a Series of Expert Interviews 在实践中如何处理瞬态行为?:来自一系列专家访谈的见解

Companion of the 2022 ACM/SPEC International Conference on Performance Engineering Pub Date : 2022-07-14 DOI: 10.1145/3491204.3527483

S. Beck, Sebastian Frank, Alireza Hakamian, André van Hoorn

{"title":"How is Transient Behavior Addressed in Practice?: Insights from a Series of Expert Interviews","authors":"S. Beck, Sebastian Frank, Alireza Hakamian, André van Hoorn","doi":"10.1145/3491204.3527483","DOIUrl":"https://doi.org/10.1145/3491204.3527483","url":null,"abstract":"Transient behavior occurs when a running software system changes from one steady-state to another. In microservice systems, such disruptions can, for example, be caused by continuous deployment, self-adaptation, and various failures. Although transient behavior could be captured in non-functional requirements, little is known of how that is handled in practice. Our objective was to study how architects and engineers approach runtime disruptions, which challenges they face, whether or not they specify transient behavior, and how currently employed tools and methods can be improved. To this end, we conducted semi-structured interviews with five experienced practitioners from major companies in Germany. We found that a big challenge in the industry is a lack of awareness of transient behavior by software stakeholders. Consequently, they often do not consider specifying it in non-functional requirements. Additionally, better tooling is needed to reduce the effort of analyzing transient behavior. We present two prototypes that we developed corresponding to these findings to improve the current situation. Beyond that, the insights we present can serve as pointers for interesting research directions for other researchers.","PeriodicalId":129216,"journal":{"name":"Companion of the 2022 ACM/SPEC International Conference on Performance Engineering","volume":"22 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133170035","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