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

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Support for disconnected operation via architectural self-reconfiguration 通过架构自重构支持断开连接的操作
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.58
Marija Mikic-Rakic, N. Medvidović
{"title":"Support for disconnected operation via architectural self-reconfiguration","authors":"Marija Mikic-Rakic, N. Medvidović","doi":"10.1109/ICAC.2004.58","DOIUrl":"https://doi.org/10.1109/ICAC.2004.58","url":null,"abstract":"In distributed and mobile environments, the connections among the hosts on which a software system is running are often unstable. As a result of connectivity losses, the overall availability of the system decreases. The distribution of software components onto hardware nodes (i.e., deployment architecture) may be ill-suited for the given state of the target hardware environment and may need to be altered to improve the software system's availability. In this paper, we present a flexible, software architecture-based solution for disconnected operation that increases the availability of a system during disconnection by allowing the system to monitor and automatically redeploy itself.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"31 1-2 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":"126086328","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: 37
Autonomic self-optimization according to business objectives 根据业务目标自主自我优化
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.19
S. Aiber, Dagan Gilat, Ariel Landau, N. Razinkov, Aviad Sela, S. Wasserkrug
{"title":"Autonomic self-optimization according to business objectives","authors":"S. Aiber, Dagan Gilat, Ariel Landau, N. Razinkov, Aviad Sela, S. Wasserkrug","doi":"10.1109/ICAC.2004.19","DOIUrl":"https://doi.org/10.1109/ICAC.2004.19","url":null,"abstract":"A central challenge in the runtime management of computing environments is the necessity to keep these environments continuously optimized. In this paper we introduce a new paradigm, which focuses on self-optimization according to high-level business objectives such as maximizing revenues. It replaces the more traditional optimizations that are based upon IT measures such as resource availability. A general, autonomous process is defined to enable such optimizations, and a set of technologies and methodologies is introduced to support the implementation of such a process. The paper concludes with two types of validation tests carried out on an eCommerce site, that demonstrate the value and applicability of this approach.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"10 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":"125522201","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: 97
File classification in self-* storage systems 自存储系统中的文件分类
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.32
M. Mesnier, Eno Thereska, G. Ganger, Daniel Ellard, M. Seltzer
{"title":"File classification in self-* storage systems","authors":"M. Mesnier, Eno Thereska, G. Ganger, Daniel Ellard, M. Seltzer","doi":"10.1109/ICAC.2004.32","DOIUrl":"https://doi.org/10.1109/ICAC.2004.32","url":null,"abstract":"To tune and manage themselves, file and storage systems must understand key properties (e.g., access pattern, lifetime, size) of their various files. This paper describes how systems can automatically learn to classify the properties of files (e.g., read-only access pattern, short-lived, small in size) and predict the properties of new files, as they are created, by exploiting the strong associations between a file's properties and the names and attributes assigned to it. These associations exist, strongly but differently, in each of four real NFS environments studied. Decision tree classifiers can automatically identify and model such associations, providing prediction accuracies that often exceed 90%. Such predictions can be used to select storage policies (e.g., disk allocation schemes and replication factors) for individual files. Further, changes in associations can expose information about applications, helping autonomic system components distinguish growth from fundamental change.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"22 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":"129458471","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: 98
Rainbow: architecture-based self-adaptation with reusable infrastructure Rainbow:具有可重用基础设施的基于体系结构的自适应
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/MC.2004.175
D. Garlan, S. Cheng, An-Cheng Huang, B. Schmerl, P. Steenkiste
{"title":"Rainbow: architecture-based self-adaptation with reusable infrastructure","authors":"D. Garlan, S. Cheng, An-Cheng Huang, B. Schmerl, P. Steenkiste","doi":"10.1109/MC.2004.175","DOIUrl":"https://doi.org/10.1109/MC.2004.175","url":null,"abstract":"Software-based systems today are increasingly expected to dynamically self-adapt to accommodate resource variability, changing user needs, and system faults. Recent work uses closed-loop control based on external models to monitor and adapt system behavior at run time. Taking this externalized approach, the Rainbow framework we have developed uses software architectural models to dynamically monitor and adapt a running system. A key goal and primary challenge of this framework is to support the reuse of adaptation strategies and infrastructure across different systems. We show that the separation of a generic adaptation infrastructure from system-specific adaptation knowledge makes this reuse possible.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"5 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":"128689336","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: 1362
Transparent self-optimization in existing CORBA applications 现有CORBA应用程序中的透明自优化
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.63
S. M. Sadjadi, P. McKinley
{"title":"Transparent self-optimization in existing CORBA applications","authors":"S. M. Sadjadi, P. McKinley","doi":"10.1109/ICAC.2004.63","DOIUrl":"https://doi.org/10.1109/ICAC.2004.63","url":null,"abstract":"This paper addresses the design of adaptive middleware to support autonomic computing in pervasive computing environments. The particular problem we address here is how to support self-optimization to changing network connection capabilities as a mobile user interacts with heterogeneous elements in a wireless network infrastructure. The goal is to enable self-optimization to such changes transparently with respect to the core application code. We propose a solution based on the use of the generic proxy, which is a specific CORBA object that can intercept and process any CORBA request using rules and actions that can be introduced to the knowledge base of the proxy during execution. To explore its design and operation, we have incorporated the generic proxy into ACT (Sadjadi and McKinley, 2004), an adaptive middleware framework we designed previously to support adaptation in CORBA applications. Details of the generic proxy are presented. A case study is described in which a generic proxy is used to support self-optimization in an existing image retrieval application, when executed in a heterogeneous wireless environment.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"34 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":"129367193","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: 31
Recommending materialized views and indexes with the IBM DB2 design advisor 使用IBM DB2设计顾问推荐物化视图和索引
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.1301362
D. Zilio, C. Zuzarte, S. Lightstone, Wenbin Ma, G. Lohman, R. Cochrane, H. Pirahesh, Latha S. Colby, Jarek Gryz, E. Alton, Gary Valentin
{"title":"Recommending materialized views and indexes with the IBM DB2 design advisor","authors":"D. Zilio, C. Zuzarte, S. Lightstone, Wenbin Ma, G. Lohman, R. Cochrane, H. Pirahesh, Latha S. Colby, Jarek Gryz, E. Alton, Gary Valentin","doi":"10.1109/ICAC.2004.1301362","DOIUrl":"https://doi.org/10.1109/ICAC.2004.1301362","url":null,"abstract":"Materialized views (MVs) and indexes both significantly speed query processing in database systems, but consume disk space and need to be maintained when updates occur. Choosing the best set of MVs and indexes to create depends upon the workload, the database, and many other factors, which makes the decision intractable for humans and computationally challenging for computer algorithms. Even heuristic-based algorithms can be impractical in real systems. In this paper, we present an advanced tool that uses the query optimizer itself to both suggest and evaluate candidate MVs and indexes, and a simple, practical, and effective algorithm for rapidly finding good solutions even for large workloads. The algorithm trades off the cost for updates and storing each MV or index against its benefit to queries in the workload. The tool autonomically captures the workload, database, and system information, optionally permits sampling of candidate MVs to better estimate their size, and exploits multi-query optimization to construct candidate MVs that will benefit many queries, over which their maintenance cost can then be amortized cost-effectively. We describe the design of the system and present initial experiments that confirm the quality of its results on a database and workload drawn from a real customer database.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"88 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":"125086740","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: 112
A toolkit for policy enablement in autonomic computing 自主计算中策略支持的工具包
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.5
D. Verma, S. Calo
{"title":"A toolkit for policy enablement in autonomic computing","authors":"D. Verma, S. Calo","doi":"10.1109/ICAC.2004.5","DOIUrl":"https://doi.org/10.1109/ICAC.2004.5","url":null,"abstract":"Developers of policy enabled systems need a common set of basic functionality regardless of their areas of application. This is most conveniently provided in terms of a toolkit from which they can choose those components that are needed for their particular implementations. IBM T J Watson Research Center is developing such a policy toolkit in Java. The toolkit's goal is to accelerate the adoption of policy based technologies in different products and services. The policy toolkit (PTK) is written in Java and consists of a core module plus a set of modules that perform specific functions. The policy toolkit consists of a set of components for supporting the policy enablement of computer applications. As well as providing the necessary basic functionality, it also includes advanced capabilities like policy validation, transformation, and conflict resolution. It also provides patterns for building a variety of policy enabled systems. A number of engagements have been undertaken in order to assess the usefulness of the components provided, and determining what additional capabilities might be needed. We have found that the policy toolkit has made it easier and more convenient for software developers to incorporate policy-based technologies into their applications.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"46 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":"128037229","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
Autonomous smart routing for network QoS 面向网络QoS的自主智能路由
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.21
E. Gelenbe, M. Gellman, R. Lent, Peixiang Liu, Pu Su
{"title":"Autonomous smart routing for network QoS","authors":"E. Gelenbe, M. Gellman, R. Lent, Peixiang Liu, Pu Su","doi":"10.1109/ICAC.2004.21","DOIUrl":"https://doi.org/10.1109/ICAC.2004.21","url":null,"abstract":"We present an autonomous adaptive quality of service (QoS) driven network system called a \"cognitive packet network\" (CPN), which adaptively selects paths so as to offer best effort QoS to the end users based on user defined QoS. CPN uses neural network based reinforcement learning to make routing decisions separately at each node. Measurements on an experimental test-bed are provided to show how the system responds to the choice of QoS goals. We also discuss and evaluate an extension of CPN that uses a genetic algorithm to generate and maintain paths from previously discovered information by matching their \"fitness\" with respect to the desired QoS.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"71 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":"132354399","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: 84
Generic adapter logging toolkit 通用适配器日志工具包
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.34
G. Grabarnik, A. Salahshour, B. Subramanian, Sheng Ma
{"title":"Generic adapter logging toolkit","authors":"G. Grabarnik, A. Salahshour, B. Subramanian, Sheng Ma","doi":"10.1109/ICAC.2004.34","DOIUrl":"https://doi.org/10.1109/ICAC.2004.34","url":null,"abstract":"The generic adapter for autonomic computing provides a framework for a unified approach to transform software messages and events into a standard situational event format in the autonomic computing architecture. The adapter as an application supports self-configuration and self-optimization.","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":"131168636","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: 14
Mobilized ad-hoc networks: a reinforcement learning approach 移动自组织网络:一种强化学习方法
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.39
Yu-Han Chang, T. Ho, L. Kaelbling
{"title":"Mobilized ad-hoc networks: a reinforcement learning approach","authors":"Yu-Han Chang, T. Ho, L. Kaelbling","doi":"10.1109/ICAC.2004.39","DOIUrl":"https://doi.org/10.1109/ICAC.2004.39","url":null,"abstract":"With the cost of wireless networking and computational power rapidly dropping, mobile ad-hoc networks will soon become an important part of our society's computing structures. While there is a great deal of research from the networking community regarding the routing of information over such networks, most of these techniques lack automatic adaptivity. The size and complexity of these networks demand that we apply the principles of autonomic computing to this problem. Reinforcement learning methods can be used to control both packet routing decisions and node mobility, dramatically improving the connectivity of the network. We present two applications of reinforcement learning methods to the mobilized ad-hoc networking domain and demonstrate some promising empirical results under a variety of different scenarios in which the mobile nodes in our ad-hoc network are embedded with these adaptive routing policies and learned movement policies.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"86 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":"121609740","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: 106
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