发布求助
文献互助 智能选刊 最新文献

CloudCP '11最新文献

筛选
英文 中文
Diagnosis of application server performance problems via thread level pattern analysis 通过线程级模式分析诊断应用服务器性能问题
CloudCP '11 Pub Date : 2011-04-10 DOI: 10.1145/1967422.1967424
John Liang, Xuwen Yu, A. Desai, Aiguo Dong, Rajit Kambo
{"title":"Diagnosis of application server performance problems via thread level pattern analysis","authors":"John Liang, Xuwen Yu, A. Desai, Aiguo Dong, Rajit Kambo","doi":"10.1145/1967422.1967424","DOIUrl":"https://doi.org/10.1145/1967422.1967424","url":null,"abstract":"Task level breakdown provides high level information for operation performance bottleneck analysis. Creating a task level breakdown requires prior knowledge of the application server program logic and can be very time consuming. In this paper, we present yShark, a profiling tool which generates a task level breakdown chart automatically without prior knowledge. With thread level pattern analysis, performance bottlenecks can be easily located. We illustrate the innovative features of this tool with two real-world application case studies. First, we show how performance bottlenecks from modules both within and external to the system can be easily identified by the tool; second, we present a pattern detection and pattern matching algorithm to detect duplicate sequential tasks that can be run in parallel. We also show how this tool can be useful in VMware vCloud Director production environments due to the minimal profiling overhead.","PeriodicalId":365270,"journal":{"name":"CloudCP '11","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121340677","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
The KOALA cloud management service: a modern approach for cloud infrastructure management KOALA云管理服务:用于云基础设施管理的现代方法
CloudCP '11 Pub Date : 2011-04-10 DOI: 10.1145/1967422.1967423
C. Baun, M. Kunze
{"title":"The KOALA cloud management service: a modern approach for cloud infrastructure management","authors":"C. Baun, M. Kunze","doi":"10.1145/1967422.1967423","DOIUrl":"https://doi.org/10.1145/1967422.1967423","url":null,"abstract":"While the variety of public and private cloud infrastructure and storage service offerings increases, only few tools exist to efficiently manage hybrid cloud resources of different cloud providers. KOALA is a novel cloud management tool that allows to work with a large variety of services of various public and private cloud providers in a seamless and transparent way.\u0000 While most management solutions like command-line tools or browser extensions require a local installation, KOALA follows the cloud paradigm and operates itself as a software service on the basis of a public or private cloud platform. In addition, KOALA executes alternatively standalone with a Linux or Mac OS X system.\u0000 The KOALA cloud manager allows to control almost all existing cloud resources with an API compatible to the Amazon Web Services. The users of KOALA have the freedom of choice to use any browser and device to interact with the cloud services. Especially in cases where the users have strong requirements regarding security and privacy, it is a benefit to run the management solution for different cloud services in a private context.","PeriodicalId":365270,"journal":{"name":"CloudCP '11","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133893677","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: 9
COSCA: an easy-to-use component-based PaaS cloud system for common applications COSCA:用于通用应用程序的易于使用的基于组件的PaaS云系统
CloudCP '11 Pub Date : 2011-04-10 DOI: 10.1145/1967422.1967426
Steffen Kächele, Jörg Domaschka, F. Hauck
{"title":"COSCA: an easy-to-use component-based PaaS cloud system for common applications","authors":"Steffen Kächele, Jörg Domaschka, F. Hauck","doi":"10.1145/1967422.1967426","DOIUrl":"https://doi.org/10.1145/1967422.1967426","url":null,"abstract":"The emergence of cloud computing marks a significant change in the way computers are used in both enterprise and personal environments. Yet, as a young technology, cloud computing is far from being mature. Platform-as-a-service (PaaS) clouds promise to reduce maintenance and administration costs, but current frameworks lack crucial features for supporting a broad range of applications. Especially rigid constraints of the current PaaS programming models limit broader usage. Based on this observation we compiled eleven requirements of typical business applications such as programming model, placement, scalability, routing, isolation, load balancing, accounting, adaptability and modularity. We further observe that none of current platforms support a majority of these requested features. As a result, we present our own PaaS system, called COSCA that meets all of these requirements. COSCA's component-based design especially supports adaptability and modularity. We believe that our requirements and architecture may serve as a valuable guide for PaaS designers, implementers, and providers.","PeriodicalId":365270,"journal":{"name":"CloudCP '11","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132883618","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: 27
Assessing the overhead and scalability of system monitors for large data centers 评估大型数据中心系统监视器的开销和可伸缩性
CloudCP '11 Pub Date : 2011-04-10 DOI: 10.1145/1967422.1967425
M. Andreolini, M. Colajanni, R. Lancellotti
{"title":"Assessing the overhead and scalability of system monitors for large data centers","authors":"M. Andreolini, M. Colajanni, R. Lancellotti","doi":"10.1145/1967422.1967425","DOIUrl":"https://doi.org/10.1145/1967422.1967425","url":null,"abstract":"Current data centers are shifting towards cloud-based architectures as a means to obtain a scalable, cost-effective, robust service platform. In spite of this, the underlying management infrastructure has grown in terms of hardware resources and software complexity, making automated resource monitoring a necessity.\u0000 There are several infrastructure monitoring tools designed to scale to a very high number of physical nodes. However, these tools either collect performance measure at a low frequency (missing the chance to capture the dynamics of a short-term management task) or are simply not equipped with instrumentation specific to cloud computing and virtualization. In this scenario, monitoring the correctness and efficiency of live migrations can become a nightmare. This situation will only worsen in the future, with the increased service demand due to spreading of the user base.\u0000 In this paper, we assess the scalability of a prototype monitoring subsystem for different user scenarios. We also identify all the major bottlenecks and give insight on how to remove them.","PeriodicalId":365270,"journal":{"name":"CloudCP '11","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126397150","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: 4
Optimizing intermediate data management in MapReduce computations 优化MapReduce计算中的中间数据管理
CloudCP '11 Pub Date : 2011-04-10 DOI: 10.1145/1967422.1967427
Diana Moise, Thi-Thu-Lan Trieu, L. Bougé, Gabriel Antoniu
{"title":"Optimizing intermediate data management in MapReduce computations","authors":"Diana Moise, Thi-Thu-Lan Trieu, L. Bougé, Gabriel Antoniu","doi":"10.1145/1967422.1967427","DOIUrl":"https://doi.org/10.1145/1967422.1967427","url":null,"abstract":"Many cloud computations process large datasets. Programming paradigms have been proposed to design this type of applications, so as to take advantage of the huge processing and storage options the cloud holds, but at the same time, to provide the user with a clean and easy to use interface. Among these programming models, we consider the MapReduce paradigm and its reference implementation, the Hadoop framework. We focus on the aspect of intermediate data, that is data produced and transferred between the two stages of the computation (map and reduce). The goal of this paper is to propose a storage mechanism for intermediate data with the purpose of optimizing the execution of MapReduce applications in the presence of failures, while keeping the impact on the job completion time to the minimum. To meet this goal, we rely on a fault-tolerant, concurrency-optimized data storage layer based on the BlobSeer data management service. We modify the Hadoop MapReduce framework to store the intermediate data in this layer (acting as a BlobSeer-based distributed file system) rather than using the local storage of the mappers, as in the vanilla version of Hadoop. To validate this work, we perform experiments on a large number of nodes of the Grid'5000 testbed. We demonstrate that our approach not only provides for intermediate data availability in case of failures, but also efficiently handles read/write accesses so that the overall job completion time is substantially improved.","PeriodicalId":365270,"journal":{"name":"CloudCP '11","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123656369","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: 26
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信