2006 IEEE International Conference on Autonomic Computing最新文献_第4页

Collaborative Self-Organization by Devices Providing Document Services - A Multi-Agent Perspective 提供文档服务的设备协同自组织——多代理视角

2006 IEEE International Conference on Autonomic Computing Pub Date : 2006-06-12 DOI: 10.1109/ICAC.2006.1662419

N. Gnanasambandam, Naveen Sharma, S. Kumara, Hua Liu

引用次数: 2

Autonomic Management of Internet Services: Experience with Self-Optimization 互联网服务的自主管理:自我优化的经验

2006 IEEE International Conference on Autonomic Computing Pub Date : 2006-06-12 DOI: 10.1109/ICAC.2006.1662420

S. Bouchenak, N. D. Palma, D. Hagimont, S. Krakowiak, C. Taton

{"title":"Autonomic Management of Internet Services: Experience with Self-Optimization","authors":"S. Bouchenak, N. D. Palma, D. Hagimont, S. Krakowiak, C. Taton","doi":"10.1109/ICAC.2006.1662420","DOIUrl":"https://doi.org/10.1109/ICAC.2006.1662420","url":null,"abstract":"Autonomic computing is an appealing approach to facilitate the management of distributed systems. However, several challenges remain open among which: (i) How to manage legacy systems? (ii) How to manage complex distributed systems? In this paper, we precisely address these issues. The paper presents the design, implementation and evaluation of Jade, an environment for autonomic management of legacy computing systems. This environment relies on two main frameworks: a framework for administrable elements, which provides the administered legacy system’s elements with a uniform management interface; and a framework for autonomic managers, which regulates a set of managed elements for a specific management aspect. The aspect that we consider in this paper is self-optimization, i.e. preserving the system’s performance in response to wide variations of the load. The main contribution of this paper is a generic architectural model that eases the construction of autonomically managed systems. Thus, integrating a new managed legacy system only necessitates a few hundred lines of code. Another contribution of the paper is the application of this model to self-optimization of complex and multi-tier Internet services. Our experiments on an auction site show that Jade is able to maintain the client perceived performance stable when the workload varies, while, without Jade, the performance continuously decreases. Furthermore, in these experiments Jade allows twice as many client requests to be served as a system with no autonomic management.","PeriodicalId":146874,"journal":{"name":"2006 IEEE International Conference on Autonomic Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116747919","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: 12

Modular Adaptive Query Processing for Service-Based Grids 基于服务网格的模块化自适应查询处理

2006 IEEE International Conference on Autonomic Computing Pub Date : 2006-06-12 DOI: 10.1109/ICAC.2006.1662415

A. Gounaris, N. Paton, R. Sakellariou, A. Fernandes, Jim Smith, P. Watson

{"title":"Modular Adaptive Query Processing for Service-Based Grids","authors":"A. Gounaris, N. Paton, R. Sakellariou, A. Fernandes, Jim Smith, P. Watson","doi":"10.1109/ICAC.2006.1662415","DOIUrl":"https://doi.org/10.1109/ICAC.2006.1662415","url":null,"abstract":"Distributed and heterogeneous environments present significant challenges to complex software systems, which must operate in the context of continuously changing loads, with partial or out-of-date information on resource capabilities. A distributed query processor (DQP) can be used to access and integrate data from distributed sources, as well as for combining data access with data analysis. However in heterogeneous environments, statically constructed query plans may commit a query evaluator to following significantly suboptimal strategies. As such, there is considerable interest in using adaptive query processors (AQPs) in such settings to provide self-optimizing behaviour. However, with many possible adaptive strategies available, it is important that AQPs can be constructed in a systematic and efficient manner. This paper outlines an approach to the development of AQPs in which adaptive behaviour is implemented using cooperating monitoring, assessment and response components. It is shown how this decomposition has been applied in the development of an adaptive DQP system for service-based grids, which reallocates load at query runtime, thereby supporting self-optimization.","PeriodicalId":146874,"journal":{"name":"2006 IEEE International Conference on Autonomic Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133866860","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: 6

Adaptive Performance Control of Computing Systems via Distributed Cooperative Control: Application to Power Management in Computing Clusters 基于分布式协同控制的计算系统自适应性能控制:在计算集群电源管理中的应用

2006 IEEE International Conference on Autonomic Computing Pub Date : 2006-06-12 DOI: 10.1109/ICAC.2006.1662395

Mianyu Wang, Nagarajan Kandasamy, A. Guez, M. Kam

{"title":"Adaptive Performance Control of Computing Systems via Distributed Cooperative Control: Application to Power Management in Computing Clusters","authors":"Mianyu Wang, Nagarajan Kandasamy, A. Guez, M. Kam","doi":"10.1109/ICAC.2006.1662395","DOIUrl":"https://doi.org/10.1109/ICAC.2006.1662395","url":null,"abstract":"Advanced control and optimization techniques offer a theoretically sound basis to enable self-managing behavior in distributed computing models such as utility computing. To tractably solve the performance management problems of interest, including resource allocation and provisioning in such distributed computing environments, we develop a fully decentralized control framework wherein the optimization problem for the system is first decomposed into sub-problems and each sub-problem is solved separately by individual controllers to achieve the overall performance objectives. Concepts from optimal control theory are used to implement individual controllers. The proposed framework is highly scalable, naturally tolerates controller failures and allows for the dynamic addition/removal of controllers during system operation. As a case study, we apply the control framework to minimize the power consumed by a computing cluster subject to a dynamic workload while satisfying the specified quality-of-service goals. Simulations using real-world workload traces show that the proposed technique has very low control overhead and adapts quickly to both workload variations and controller failures.","PeriodicalId":146874,"journal":{"name":"2006 IEEE International Conference on Autonomic Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124049393","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: 33

Towards Commercialization of Utility-based Resource Allocation 走向基于效用的资源配置商业化

2006 IEEE International Conference on Autonomic Computing Pub Date : 2006-06-12 DOI: 10.1109/ICAC.2006.1662412

R. Das, J. Kephart, Ian Whalley, Paul Vytas

引用次数: 20