2015 IEEE International Conference on Autonomic Computing最新文献

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Architecture Overview for Autonomic Computing 自主计算体系结构概述
2015 IEEE International Conference on Autonomic Computing Pub Date : 2018-10-03 DOI: 10.1201/9781315221564-14
J. Sweitzer, C. Draper
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引用次数: 3
A Control-Based Approach to Autonomic Performance Management in Computing Systems 基于控制的计算系统自主性能管理方法
2015 IEEE International Conference on Autonomic Computing Pub Date : 2018-10-03 DOI: 10.1201/9781315221564-18
Wusheng Chou
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引用次数: 0
Autonomic Grid Computing: Concepts, Requirements, and Infrastructure 自主网格计算:概念、需求和基础结构
2015 IEEE International Conference on Autonomic Computing Pub Date : 2018-10-03 DOI: 10.1201/9781420009354.ch4
M. Parashar
{"title":"Autonomic Grid Computing: Concepts, Requirements, and Infrastructure","authors":"M. Parashar","doi":"10.1201/9781420009354.ch4","DOIUrl":"https://doi.org/10.1201/9781420009354.ch4","url":null,"abstract":"","PeriodicalId":6643,"journal":{"name":"2015 IEEE International Conference on Autonomic Computing","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83588417","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: 3
A Programming System for Autonomic Self-Managing Applications 自主自管理应用程序的编程系统
2015 IEEE International Conference on Autonomic Computing Pub Date : 2018-10-03 DOI: 10.1201/9781315221564-22
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引用次数: 1
Exploiting Emergence in Autonomic Systems 利用自主系统中的涌现
2015 IEEE International Conference on Autonomic Computing Pub Date : 2018-10-03 DOI: 10.1201/9781315221564-17
R. Anthony, A. Butler, M. Ibrahim
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引用次数: 1
Learning a Dynamic Re-combination Strategy of Forecast Techniques at Runtime 学习运行时预测技术的动态重组策略
2015 IEEE International Conference on Autonomic Computing Pub Date : 2015-07-07 DOI: 10.1109/ICAC.2015.70
M. Sommer, Sven Tomforde, J. Hähner
{"title":"Learning a Dynamic Re-combination Strategy of Forecast Techniques at Runtime","authors":"M. Sommer, Sven Tomforde, J. Hähner","doi":"10.1109/ICAC.2015.70","DOIUrl":"https://doi.org/10.1109/ICAC.2015.70","url":null,"abstract":"Traffic experts try to optimise the signalisation of traffic light controllers during design-time based on historic traffic flow data. Traffic exhibits dynamic behaviour. Due to changing traffic demands, new and flexible traffic management systems are needed that optimise themselves during runtime. Organic Traffic Control is such a decentralised, self-organising system that adapts the green times of traffic lights to the current traffic conditions. Forecasts of future traffic conditions may result in a faster adaptation, higher robustness and flexibility. The combination of several forecasting techniques leads to fewer forecast errors. This paper presents three novel combination strategies from the machine learning domain using an Artificial Neural Network, Historic Load Curves and an Extended Classifier System.","PeriodicalId":6643,"journal":{"name":"2015 IEEE International Conference on Autonomic Computing","volume":"10 1","pages":"261-266"},"PeriodicalIF":0.0,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74582746","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: 8
Model-Driven Geo-Elasticity in Database Clouds 数据库云中模型驱动的地理弹性
2015 IEEE International Conference on Autonomic Computing Pub Date : 2015-07-07 DOI: 10.1109/ICAC.2015.46
Tian Guo, P. Shenoy
{"title":"Model-Driven Geo-Elasticity in Database Clouds","authors":"Tian Guo, P. Shenoy","doi":"10.1109/ICAC.2015.46","DOIUrl":"https://doi.org/10.1109/ICAC.2015.46","url":null,"abstract":"Motivated by the emergence of distributed clouds, we argue for the need for geo-elastic provisioning of application replicas to effectively handle temporal and spatial workload fluctuations seen by such applications. We present DBScale, a system that tracks geographic variations in the workload to dynamically provision database replicas at different cloud locations across the globe. Our geo-elastic provisioning approach comprises a regression-based model to infer the database query workload from observations of the spatially distributed front-end workload and a two-node open queueing network model to provision databases with both CPU and I/O-intensive query workloads. We implement a prototype of our DBScale system on Amazon EC2's distributed cloud. Our experiments with our prototype show up to a 66% improvement in response time when compared to local elasticity approaches.","PeriodicalId":6643,"journal":{"name":"2015 IEEE International Conference on Autonomic Computing","volume":"43 1","pages":"61-70"},"PeriodicalIF":0.0,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80242493","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: 5
Towards Reusability in Autonomic Computing 自主计算中的可重用性
2015 IEEE International Conference on Autonomic Computing Pub Date : 2015-07-07 DOI: 10.1109/ICAC.2015.21
Christian Krupitzer, F. Roth, S. VanSyckel, C. Becker
{"title":"Towards Reusability in Autonomic Computing","authors":"Christian Krupitzer, F. Roth, S. VanSyckel, C. Becker","doi":"10.1109/ICAC.2015.21","DOIUrl":"https://doi.org/10.1109/ICAC.2015.21","url":null,"abstract":"Reusability of software artifacts reduces development time, effort, and error-proneness. Nevertheless, in the development of autonomic systems, developers often start from scratch when building a new system instead of reusing existing components. Many frameworks offer reusability on a higher level of abstraction, but neglect reusability on the lower component implementation level. In this short paper, we present a reusable adaptation logic by separating the generic structure and mechanisms of Autonomic Computing systems from its custom functionality. That is, we provide a reusable communication architecture with abstract component templates that enables a faster development and easier runtime adaptation. We evaluate our approach in a case study with two implementations.","PeriodicalId":6643,"journal":{"name":"2015 IEEE International Conference on Autonomic Computing","volume":"270 1 1","pages":"115-120"},"PeriodicalIF":0.0,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72861123","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: 15
Designing Cooperating Self-Improving Systems 设计协作的自我改进系统
2015 IEEE International Conference on Autonomic Computing Pub Date : 2015-07-07 DOI: 10.1109/ICAC.2015.71
C. Landauer, K. Bellman
{"title":"Designing Cooperating Self-Improving Systems","authors":"C. Landauer, K. Bellman","doi":"10.1109/ICAC.2015.71","DOIUrl":"https://doi.org/10.1109/ICAC.2015.71","url":null,"abstract":"The issue we consider is how to gain the capability of useful self-improvement in systems that are expected to participate in various systems of systems during their lifetime. This is not the same as improvement in cyber physical systems (CPSs), even though large CPSs are systems of embedded systems. The difference is that we design and define the CPSs, so the integration onus is on us, not the systems and / or their components. In a System of Systems, we cannot define everything in advance, so the onus is on the participating systems. This paper is about designing systems so that they can help integrate, improve, and cooperatively improve themselves in a System of Systems that is unknown and unspecified at the time of their construction, and not completely known even during deployment.","PeriodicalId":6643,"journal":{"name":"2015 IEEE International Conference on Autonomic Computing","volume":"8 1","pages":"273-278"},"PeriodicalIF":0.0,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82535390","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
Centaur: Host-Side SSD Caching for Storage Performance Control Centaur:用于存储性能控制的主机侧SSD缓存
2015 IEEE International Conference on Autonomic Computing Pub Date : 2015-07-07 DOI: 10.1109/ICAC.2015.44
Ricardo Koller, A. Mashtizadeh, R. Rangaswami
{"title":"Centaur: Host-Side SSD Caching for Storage Performance Control","authors":"Ricardo Koller, A. Mashtizadeh, R. Rangaswami","doi":"10.1109/ICAC.2015.44","DOIUrl":"https://doi.org/10.1109/ICAC.2015.44","url":null,"abstract":"Host-side SSD caches represent a powerful knob for improving and controlling storage performance and improve performance isolation. We present Centaur, as a host-side SSD caching solution that uses cache sizing as a control knob to achieve storage performance goals. Centaur implements dynamically partitioned per-VM caches with per-partition local replacement to provide both lower cache miss rate, better performance isolation and performance control for VM workloads. It uses SSD cache sizing as a universal knob for meeting a variety of workload-specific goals including per-VM latency and IOPS reservations, proportional share fairness, and aggregate optimizations such as minimizing the average latency across VMs. We implemented Centaur for the VMware ESX hyper visor. With Centaur, times for simultaneously booting 28 virtual desktops improve by 42% relative to a non-caching system and by 18% relative to a unified caching system. Centaur also implements per-VM shares for latency with less than 5% error when running micro benchmarks, and enforces latency and IOPS reservations on OLTP workloads with less than 10% error.","PeriodicalId":6643,"journal":{"name":"2015 IEEE International Conference on Autonomic Computing","volume":"69 1","pages":"51-60"},"PeriodicalIF":0.0,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86807329","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: 47
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