Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion最新文献

Modelling Energy Efficient Server Management Policies in PEPA PEPA中节能服务器管理策略的建模

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053609

Ali Alssaiari, R. Gining, N. Thomas

引用次数: 2

Time of Use Tariff parameter Estimation: A Data Analysis Approach on Multicore Systems 多核系统的一种数据分析方法——使用时间电价参数估计

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053623

Amit Kalele, Kiran Narkhede, Mayank Bakshi

引用次数: 0

Elastic Provisioning of Virtual Machines for Container Deployment 容器部署的虚拟机弹性发放

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053602

Matteo Nardelli, C. Hochreiner, Stefan Schulte

{"title":"Elastic Provisioning of Virtual Machines for Container Deployment","authors":"Matteo Nardelli, C. Hochreiner, Stefan Schulte","doi":"10.1145/3053600.3053602","DOIUrl":"https://doi.org/10.1145/3053600.3053602","url":null,"abstract":"Docker containers enable to package an application together with all its dependencies and easily run it in any environment. Thanks to their ease of use and portability, containers are gaining an increasing interest and promise to change the way how Cloud platforms are designed and managed. For their execution in the Cloud, we need to solve the container deployment problem, which deals with the identification of an elastic set of computing machines that can host and execute those containers, while considering the diversity of their requirements. In this paper, we provide a general formulation of the Elastic provisioning of Virtual machines for Container Deployment (for short, EVCD) as an Integer Linear Programming problem, which takes explicitly into account the heterogeneity of container requirements and virtual machine resources. Besides optimizing multiple QoS metrics, EVCD can reallocate containers at runtime, when a QoS improvement can be achieved. Using the proposed formulation as benchmark, we evaluate two well-known heuristics, i.e., greedy first-fit and round-robin, that are usually adopted for solving the container deployment problem.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126866021","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: 45

Recent Trends in Performance Modeling of Big Data Systems 大数据系统性能建模的最新趋势

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053621

V. Apte

{"title":"Recent Trends in Performance Modeling of Big Data Systems","authors":"V. Apte","doi":"10.1145/3053600.3053621","DOIUrl":"https://doi.org/10.1145/3053600.3053621","url":null,"abstract":"With the advent of big data through social media and continuous creation of digital footprints through various mobile devices, special-purpose programming models were developed that would make it easy to write programs to process such data. MapReduce and its Hadoop implementation is one of the most popular platforms for writing such programs. The MapReduce framework involves a \"map\" phase where various tasks work in parallel for intermediate processing of data and a \"reduce\" phase where again various tasks work in parallel to extract information from this processed data. Performance modeling of such systems will need different approaches than are used for traditional multi-threaded multi-core systems supporting Web applications, primarily because the dependencies and synchronization required between various tasks is not easily expressible using standard queuing network models. In this talk we will review work done by researchers to address this modeling problem. The work done encompasses first-principles calculations of execution time completion, queuing network models, and finally, simulation. We will review these efforts as well as highlight opportunities for further work in this area.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116816594","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 an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework 一个可扩展和可扩展的能量采集无线传感器网络仿真框架

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053610

James Allen, M. Forshaw, N. Thomas

引用次数: 6

Efficient Analysis at Edge 高效的边缘分析

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053619

Tatiana Mangels, A. Murarasu, Forest Oden, Alexey Fishkin, Daniel Becker

{"title":"Efficient Analysis at Edge","authors":"Tatiana Mangels, A. Murarasu, Forest Oden, Alexey Fishkin, Daniel Becker","doi":"10.1145/3053600.3053619","DOIUrl":"https://doi.org/10.1145/3053600.3053619","url":null,"abstract":"Digitalization changes traditional business models by using digital technologies to improve existing offerings and to create new offerings. Current technological trends such as artificial intelligence, autonomous systems, and predictive maintenance are ideal candidate technologies to enable digitalization use cases. Often, these technologies rely on the availability of large amounts of data and the capability to process these data efficiently. In contrast to consumer markets, industrial products must fulfill higher non-functional requirements such as fast response times, 24/7 availability and stability, real-time processing, safety, or security requirements. As a consequence, processing capabilities -- ranging from multicore and manycores to even high end parallel clusters -- have to be exploited to achieve necessary performance and stability needs. In this paper, we introduce a Distributed Multicore Monitoring Framework (MoMo) which is a reference monitoring solution developed at Siemens Corporate Technology. It can be used to easily build efficient and stable diagnostic solutions which can help to understand the correctness, availability, reliability, and performance of large-scale distributed systems based on live data. Due to its small footprint MoMo can be used to analyze data directly at the data source which, for instance, can significantly reduce the network load. While MoMo's efficiency comes from the usage of multicore processors (CPUs) for running analysis in parallel, its usability is guaranteed by its capability to easily integrate with other monitoring frameworks and its usage of SPL - a domain-specific language which allows user to easily define diagnostic algorithms.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130556235","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

A Continuous Software Quality Monitoring Approach for Small and Medium Enterprises 中小型企业软件质量持续监测方法

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053618

Andrea Janes, Valentina Lenarduzzi, Alexandru Cristian Stan

{"title":"A Continuous Software Quality Monitoring Approach for Small and Medium Enterprises","authors":"Andrea Janes, Valentina Lenarduzzi, Alexandru Cristian Stan","doi":"10.1145/3053600.3053618","DOIUrl":"https://doi.org/10.1145/3053600.3053618","url":null,"abstract":"Context: SMEs cannot always afford the effort required for software quality assurance, and therefore there is the need of easy and affordable practices to prevent issues in the software they develop. Object: In this paper we propose an approach to allow SMEs to access SQA practices, using an SQA approach based on a continuous issue and error monitoring and a recommendation system that will suggest quality practices, recommending a set of quality actions based on the issues that previously created errors, so as to help SMEs to maintain quality above a minimum threshold. Method: First, we aim to identify a set of SQA practices applicable in SMEs, based on the main constraints of SMEs and a set of tools and practices to fulfill a complete DevOps pipeline. Second, we aim to define a recommendation system to provide software quality feedback to micro-teams, suggesting which action(s) they should take to maintain a certain quality level and allowing them to remove the most severe issues with the lowest possible effort. Our approach will be validated by a set of local SMEs. Moreover, the tools developed will be published as Open Source.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124613893","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: 21

Engineering the Performance of a Meta-modeling Architecture 设计元建模体系结构的性能

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053647

Sara Fioravanti, Fulvio Patara, E. Vicario

引用次数: 2

Measuring Docker Performance: What a Mess!!! 测量Docker性能:真是一团糟!!

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053605

E. Casalicchio, Vanessa Perciballi

引用次数: 50

Improving QoE via Context Prediction: A Case Study of Using WiFi Radiomaps to Predict Network Disconnection 通过上下文预测提高QoE:使用WiFi无线地图预测网络断开的案例研究

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI: 10.1145/3053600.3053603

Nearchos Paspallis, Salah Eddin Alshaal

引用次数: 4