International Conference on Autonomic Computing, 2004. Proceedings.最新文献

Bringing planning to autonomic applications with ABLE 使用ABLE为自主应用程序带来计划

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.23

B. Srivastava, J. P. Bigus, D. Schlosnagle

{"title":"Bringing planning to autonomic applications with ABLE","authors":"B. Srivastava, J. P. Bigus, D. Schlosnagle","doi":"10.1109/ICAC.2004.23","DOIUrl":"https://doi.org/10.1109/ICAC.2004.23","url":null,"abstract":"Planning has received tremendous interest as a research area within AI over the last three decades but it has not been applied commercially as widely as its other AI counterparts like learning or data mining. The reasons are many: the utility of planning in business applications was unclear, the planners used to work best in small domains and there was no general purpose planning and execution infrastructure widely available. Much has changed lately. Compelling applications have emerged, e.g., computing systems have become so complex that the IT industry recognizes the necessity of deliberative methods to make these systems self-configuring, self-healing, self-optimizing and self-protecting. Planning has seen an upsurge in the last decade with new planners that are orders of magnitude faster than before and are able to scale this performance to complex domains, e.g., those with metric and temporal constraints. However, planning and execution infrastructure is still tightly tied to a specific application which can have its own idiosyncrasies. In this paper, we fill the infrastructural gap by providing a domain independent planning and execution environment that is implemented in the ABLE agent building toolkit, and demonstrate its ability to solve practical business applications. The planning-enabled ABLE is publicly available and is being used to solve a variety of planning applications in IBM including the self-management/autonomic computing scenarios.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112023","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: 25

Automatic performance management in component based software systems 基于组件的软件系统中的自动性能管理

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.15

A. Diaconescu, Adrian Mos, John Murphy

引用次数: 54

Generation of self-optimizing wireless network applications 产生自优化的无线网络应用

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.33

S. M. Sadjadi, P. McKinley, R. Stirewalt, B. Cheng

引用次数: 22

Rudder: a rule-based multi-agent infrastructure for supporting autonomic Grid applications 方向舵:一个基于规则的多代理基础设施，支持自主网格应用

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.52

Z. Li, M. Parashar

{"title":"Rudder: a rule-based multi-agent infrastructure for supporting autonomic Grid applications","authors":"Z. Li, M. Parashar","doi":"10.1109/ICAC.2004.52","DOIUrl":"https://doi.org/10.1109/ICAC.2004.52","url":null,"abstract":"The emerging pervasive information and computational Grid is enabling a new generation of autonomic applications that continuously interact with their environments and with each other to monitor, adapt and optimize their execution. However, supporting these context-aware self-managing applications in widely distributed, heterogeneous and highly dynamic Grid environments requires suitable and effective coordination middleware services. The article presents the architecture and operation of Rudder, a rule-based adaptive multi-agent infrastructure for supporting autonomic applications in pervasive Grid environments. Specifically, Rudder enables dynamic composition and coordination of autonomic components to manage changing application requirements and system context. The design builds on three basic concepts: (1) software agents that dynamically define, deploy and execute rules to achieve self-behaviors, operating within flexible organizational structures while being situated in the dynamic pervasive Grid environments; (2) composition rules dynamically enabling application workflows, which can be executed using autonomic components; (3) a decentralized reactive tuple-space can scalably support agent coordination, execution of composition rules and creation of application workflows in Grid environments. The operation of Rudder is illustrated using an autonomic oil reservoir optimization application.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131885707","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: 36

Dynamic negotiations for grid services 网格服务的动态协商

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.27

J. Weng, C. Miao, A. Goh

引用次数: 5

Policy framework for automatic data management 用于自动数据管理的策略框架

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.1301403

M. Bhide, A. Gupta, M. Joshi, M. Mohania, S. Raman

引用次数: 8

An architectural approach to autonomic computing 自主计算的体系结构方法

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.8

Steve R. White, James E. Hanson, Ian Whalley, D. Chess, J. Kephart

引用次数: 323

Online monitoring and analysis for self-protection against network attacks 在线监控和分析，自我防御网络攻击

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.42

Guangzhi Qu, S. Hariri, Santosh Jangiti, Jayprakash Rudraraju, Seungchan Oh, S. Fayssal, Guangsen Zhang, M. Parashar

引用次数: 19

Assessing the robustness of self-managing computer systems under highly variable workloads 评估高度可变工作负载下自我管理计算机系统的稳健性

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.10

M. Bennani, D. Menascé

引用次数: 67

Self-optimization in computer systems via on-line control: application to power management 在线控制在计算机系统中的自优化:在电源管理中的应用

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.55

Nagarajan Kandasamy, S. Abdelwahed, J. Hayes

{"title":"Self-optimization in computer systems via on-line control: application to power management","authors":"Nagarajan Kandasamy, S. Abdelwahed, J. Hayes","doi":"10.1109/ICAC.2004.55","DOIUrl":"https://doi.org/10.1109/ICAC.2004.55","url":null,"abstract":"Computer systems hosting critical e-commerce applications must typically satisfy stringent quality-of-service (QoS) requirements under dynamic operating conditions and workloads. Also, as such systems increase in size and complexity, maintaining the desired QoS by manually tuning the numerous performance-related parameters will become very difficult. This paper addresses the design of self-optimizing computer systems using a generic online control framework in which the control actions governing the operation of the system are obtained by optimizing its behavior, as forecast by a mathematical model, over a limited time horizon. As a specific application of this control technique, we show how to minimize the power consumed by a single computer processing a time-varying workload. Assuming a processor capable of operating at multiple frequencies, we design an online controller to satisfy the QoS requirements of the workload while operating the processor at the lowest possible frequency. We describe the processor model, formulate the power management problem, and derive the online control algorithm. The performance of the controller is evaluated using representative e-commerce workloads. Finally, we discuss how the proposed technique can be applied to other resource management problems in computer systems.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128700796","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: 82