Proceedings of the 5th ACM/SPEC international conference on Performance engineering最新文献_第4页

LibReDE: a library for resource demand estimation 一个用于资源需求估计的库

Proceedings of the 5th ACM/SPEC international conference on Performance engineering Pub Date : 2014-03-22 DOI: 10.1145/2568088.2576093

Simon Spinner, G. Casale, Xiaoyun Zhu, Samuel Kounev

引用次数: 41

Engineering resource management middleware for optimizing the performance of clouds processing mapreduce jobs with deadlines 工程资源管理中间件，用于优化具有最后期限的云处理mapreduce作业的性能

Proceedings of the 5th ACM/SPEC international conference on Performance engineering Pub Date : 2014-03-22 DOI: 10.1145/2568088.2576796

Norman Lim, S. Majumdar, P. Ashwood-Smith

引用次数: 21

Modelling database lock-contention in architecture-level performance simulation 在架构级性能模拟中对数据库锁争用进行建模

Proceedings of the 5th ACM/SPEC international conference on Performance engineering Pub Date : 2014-03-22 DOI: 10.1145/2568088.2576762

Philipp Merkle, Christian Stier

引用次数: 3

Exploring synergies between bottleneck analysis and performance antipatterns 探索瓶颈分析和性能反模式之间的协同作用

Proceedings of the 5th ACM/SPEC international conference on Performance engineering Pub Date : 2014-03-22 DOI: 10.1145/2568088.2568092

Catia Trubiani, A. Marco, V. Cortellessa, Nariman Mani, D. Petriu

{"title":"Exploring synergies between bottleneck analysis and performance antipatterns","authors":"Catia Trubiani, A. Marco, V. Cortellessa, Nariman Mani, D. Petriu","doi":"10.1145/2568088.2568092","DOIUrl":"https://doi.org/10.1145/2568088.2568092","url":null,"abstract":"The problem of interpreting the results of performance analysis is quite critical, mostly because the analysis results (i.e. mean values, variances, and probability distributions) are hard to transform into feedback for software engineers that allows to remove performance problems. Approaches aimed at identifying and removing the causes of poor performance in software systems commonly fall in two categories: (i) bottleneck analysis, aimed at identifying overloaded software components and/or hardware resources that affect the whole system performance, and (ii) performance antipatterns, aimed at detecting and removing common design mistakes that notably induce performance degradation. In this paper, we look for possible synergies between these two categories of approaches in order to empower the performance investigation capabilities. In particular, we aim at showing that the approach combination allows to provide software engineers with broader sets of alternative solutions leading to better performance results. We have explored this research direction in the context of Layered Queueing Network models, and we have considered a case study in the e-commerce domain. After comparing the results achievable with each approach separately, we quantitatively show the benefits of merging bottleneck analysis and performance antipatterns.","PeriodicalId":243233,"journal":{"name":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132719150","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: 23

Automated analysis of performance and energy consumption for cloud applications 自动分析云应用程序的性能和能耗

Proceedings of the 5th ACM/SPEC international conference on Performance engineering Pub Date : 2014-03-22 DOI: 10.1145/2568088.2568093

Feifei Chen, J. Grundy, Jean-Guy Schneider, Yun Yang, Qiang He

{"title":"Automated analysis of performance and energy consumption for cloud applications","authors":"Feifei Chen, J. Grundy, Jean-Guy Schneider, Yun Yang, Qiang He","doi":"10.1145/2568088.2568093","DOIUrl":"https://doi.org/10.1145/2568088.2568093","url":null,"abstract":"In cloud environments, IT solutions are delivered to users via shared infrastructure. One consequence of this model is that large cloud data centres consume large amounts of energy and produce significant carbon footprints. A key objective of cloud providers is thus to develop resource provisioning and management solutions at minimum energy consumption while still guaranteeing Service Level Agreements (SLAs). However, a thorough understanding of both system performance and energy consumption patterns in complex cloud systems is imperative to achieve a balance of energy efficiency and acceptable performance. In this paper, we present StressCloud, a performance and energy consumption analysis tool for cloud systems. StressCloud can automatically generate load tests and profile system performance and energy consumption data. Using StressCloud, we have conducted extensive experiments to profile and analyse system performance and energy consumption with different types and mixes of runtime tasks. We collected fine-grained energy consumption and performance data with different resource allocation strategies, system configurations and workloads. The experimental results show the correlation coefficients of energy consumption, system resource allocation strategies and workload, as well as the performance of the cloud applications. Our results can be used to guide the design and deployment of cloud applications to balance energy and performance requirements.","PeriodicalId":243233,"journal":{"name":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117235217","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: 35

Understanding, modelling, and improving the performance of web applications in multicore virtualised environments 在多核虚拟化环境中理解、建模和改进web应用程序的性能

Proceedings of the 5th ACM/SPEC international conference on Performance engineering Pub Date : 2014-03-22 DOI: 10.1145/2568088.2568102

Xi Chen, C. Ho, Rasha Osman, P. Harrison, W. Knottenbelt

{"title":"Understanding, modelling, and improving the performance of web applications in multicore virtualised environments","authors":"Xi Chen, C. Ho, Rasha Osman, P. Harrison, W. Knottenbelt","doi":"10.1145/2568088.2568102","DOIUrl":"https://doi.org/10.1145/2568088.2568102","url":null,"abstract":"As the computing industry enters the Cloud era, multicore architectures and virtualisation technologies are replacing traditional IT infrastructures. However, the complex relationship between applications and system resources in multicore virtualised environments is not well understood. Workloads such as web services and on-line financial applications have the requirement of high performance but benchmark analysis suggests that these applications do not optimally benefit from a higher number of cores. In this paper, we try to understand the scalability behaviour of network/CPU intensive applications running on multicore architectures. We begin by benchmarking the Petstore web application, noting the systematic imbalance that arises with respect to per-core workload. Having identified the reason for this phenomenon, we propose a queueing model which, when appropriately parametrised, reflects the trend in our benchmark results for up to 8 cores. Key to our approach is providing a fine-grained model which incorporates the idiosyncrasies of the operating system and the multiple CPU cores. Analysis of the model suggests a straightforward way to mitigate the observed bottleneck, which can be practically realised by the deployment of multiple virtual NICs within our VM. Next we make blind predictions to forecast performance with multiple virtual NICs. The validation results show that the model is able to predict the expected performance with relative errors ranging between 8 and 26 per cent.","PeriodicalId":243233,"journal":{"name":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127643284","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: 19

Proceedings of the 5th ACM/SPEC international conference on Performance engineering 第五届ACM/SPEC性能工程国际会议论文集

Proceedings of the 5th ACM/SPEC international conference on Performance engineering Pub Date : 1900-01-01 DOI: 10.1145/2568088

引用次数: 3