International Symposium on Software Engineering for Adaptive and Self-Managing Systems最新文献_第3页

Science in the cloud (keynote) 云中的科学(主题演讲)

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2013-05-20 DOI: 10.5555/2663546.2663548

J. Hellerstein

{"title":"Science in the cloud (keynote)","authors":"J. Hellerstein","doi":"10.5555/2663546.2663548","DOIUrl":"https://doi.org/10.5555/2663546.2663548","url":null,"abstract":"Recent trends in science have made computational capabilities an essential part of scientific discovery. This is often referred to as enhanced scientific discovery, or eScience. eScience has been an integral part of high energy physics for several decades due to the complexity and volume of data produced by experiments. In the 1990s, eScience become central to biology with the sequencing of the human genome. More recently, eScience has become integral to neuroscience to understand neural circuits and human behavior.\u0000 It is my view that the demands of 21st century science will mean that eScience is largely done in the Cloud. There are several reasons for this. Foremost, many of the computing requirements of scientists are bursty, requiring massive capabilities for short periods of time. This requirement is well suited to the Cloud. Second, 21st century science will frequently require the publication of large datasets such as the Allen Institute's Brain Atlas and the world wide network of genomics data. Hosting these datasets in public clouds will be much easier than requiring individual scientists (or even universities) to build their own data hosting systems. Third, progress in science increasingly requires collaborations among many distributed groups. Thecloud can greatly facilitate these collaborations.\u0000 This talk discusses the requirements for science in the Cloud, and efforts underway to address these requirements. I will provide considerable detail about Google's Exacycle project that is donating one billion core hours to scientific discovery in molecular modeling, drug analysis, and astronomy.","PeriodicalId":168314,"journal":{"name":"International Symposium on Software Engineering for Adaptive and Self-Managing Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123393882","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 10-year perspective on software engineering self-adaptive systems (keynote) 软件工程自适应系统的10年展望(主题演讲)

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2013-05-20 DOI: 10.1109/SEAMS.2013.6595486

D. Garlan

引用次数: 16

gocc: a configuration compiler for self-adaptive systems using goal-oriented requirements description Gocc:一个配置编译器，用于使用面向目标的需求描述的自适应系统

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988015

Hiroyuki Nakagawa, Akihiko Ohsuga, S. Honiden

{"title":"gocc: a configuration compiler for self-adaptive systems using goal-oriented requirements description","authors":"Hiroyuki Nakagawa, Akihiko Ohsuga, S. Honiden","doi":"10.1145/1988008.1988015","DOIUrl":"https://doi.org/10.1145/1988008.1988015","url":null,"abstract":"Self-adaptive systems have recently attracted attention because of their ability to cope with changing environments, including system intrusions or faults. Such software must modify itself to better fit its environment, and one of the approaches by which we expect this capability to be achieved is the introduction of multiple control loops to assess the situation and to determine whether a change in behaviors or configurations is necessary and how to implement the change. Development of such systems with multiple control loops complicates the task of identifying components, and could be greatly aided by appropriate tool support. In this paper, we propose an architectural compiler for self-adaptive systems, which generates architectural configurations from the goal-oriented requirements descriptions. We also present a framework for generating such configurations with this compiler and a pattern in the requirements description. We evaluate the framework experimentally and show that it helps to generate suitable configurations that have high performance, and that the compiler scales well to large input models.","PeriodicalId":168314,"journal":{"name":"International Symposium on Software Engineering for Adaptive and Self-Managing Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130076287","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: 20

GRAF: graph-based runtime adaptation framework GRAF:基于图的运行时适应框架

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988026

Mahdi Derakhshanmanesh, M. Amoui, Gregory O'Grady, J. Ebert, L. Tahvildari

引用次数: 21

A multi-model framework to implement self-managing control systems for QoS management 实现QoS管理的自管理控制系统的多模型框架

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988040

Tharindu Patikirikorala, A. Colman, Jun Han, Liuping Wang

引用次数: 59

Inflation and deflation of self-adaptive applications 自适应应用的膨胀和紧缩

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988041

Ryan W. Moore, B. Childers

{"title":"Inflation and deflation of self-adaptive applications","authors":"Ryan W. Moore, B. Childers","doi":"10.1145/1988008.1988041","DOIUrl":"https://doi.org/10.1145/1988008.1988041","url":null,"abstract":"Autonomic multicore systems dynamically adapt themselves in response to run-time conditions and information for a variety of purposes, such as fault tolerance, power conservation, and performance balancing. Multiple application processes must coordinate their efforts and share resources to achieve system goals. In this paper, we present our inflate/deflate programming model for building autonomic processes and systems. The inflate/deflate programming model provides application-specific knowledge and reactions to a central resource coordinator. The central resource coordinator distributes and revokes resources at runtime to achieve a system goal. We discuss the overall design and challenges involved in our model. We test our design for adaptable programs by modifying programs from the PARSEC benchmark suite. The programs are tested in two sample situations to explore the difficulties of modification and the rewards gained. We find that the first modified program (blackscholes) fairly shares CPU time with other system workloads in an energy conservation scenario (up to 50% more efficient than an unmodified blackscholes). The second modified program (dedup) dynamically takes advantage of core resources as they become available (17% faster performance). If no new cores become available, it is able to more efficiently use existing resources (9% faster performance).","PeriodicalId":168314,"journal":{"name":"International Symposium on Software Engineering for Adaptive and Self-Managing Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131699732","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

Dynamic updating of online recommender systems via feed-forward controllers 基于前馈控制器的在线推荐系统动态更新

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988011

Valentina Zanardi, L. Capra

{"title":"Dynamic updating of online recommender systems via feed-forward controllers","authors":"Valentina Zanardi, L. Capra","doi":"10.1145/1988008.1988011","DOIUrl":"https://doi.org/10.1145/1988008.1988011","url":null,"abstract":"Recommender systems have become an essential software component of many online businesses, supporting customers in finding the items (e.g., books on Amazon, movies on Netflix, songs on Last.fm) they are interested in. Key to their success is the level of accuracy they achieve: the more precisely they can predict how much a customer will enjoy an item, the higher the profit that the business will make (e.g., in terms of more purchases). In quantifying the accuracy of recommender systems, the evaluation methodology followed by researchers has so far neglected an important aspect: that these businesses grow continuously over time, both in terms of users and items. The data structures used by the recommender system to compute predictions become stale and thus have to be updated regularly. Intuitively, the more often the data structures are being updated, the higher the accuracy achieved, but the higher the computational cost afforded, because of the extremely large volume of data being handled. System administrators often perform the update at fixed intervals of time (e.g., weekly, fortnightly), in an effort to balance accuracy versus cost. We argue that such an approach benefits neither accuracy nor cost, as businesses do not grow linearly in time, thus risking the fixed update interval to be at times too coarse (with negative impact on accuracy), and at other times too fine grained (with negative impact on cost). We thus advocate for a self-monitoring and self-adaptive approach, whereby the system monitors its own growth over time, estimates the loss in accuracy it would endure if an update were not being performed based on the observed growth, and dynamically decides whether the benefit of performing an update (accuracy) outweighs its computational cost. Using real data from the Bibsonomy website, we demonstrate how this simple technique enables system administrators to transparently balance these two conflicting requirements.","PeriodicalId":168314,"journal":{"name":"International Symposium on Software Engineering for Adaptive and Self-Managing Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128787775","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: 17

A model-driven framework for runtime adaptation of web service compositions 用于运行时适应web服务组合的模型驱动框架

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988034

G. Grossmann, M. Schrefl, M. Stumptner

引用次数: 5

Elastic executions from inelastic programs 非弹性程序的弹性执行

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988033

Iulian Neamtiu

引用次数: 15

Benchmarking the resilience of self-adaptive software systems: perspectives and challenges 对自适应软件系统的弹性进行基准测试:观点和挑战

International Symposium on Software Engineering for Adaptive and Self-Managing Systems Pub Date : 2011-05-23 DOI: 10.1145/1988008.1988035

Raquel Almeida, M. Vieira

引用次数: 24