2008 International Conference on Autonomic Computing最新文献

筛选
英文 中文
A Run-Time Configurable Software Architecture for Self-Managing Systems 面向自管理系统的运行时可配置软件体系结构
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.23
R. Anthony, Mariusz Pelc, P. Ward, James Hawthorne, Kaveesh Pulnah
{"title":"A Run-Time Configurable Software Architecture for Self-Managing Systems","authors":"R. Anthony, Mariusz Pelc, P. Ward, James Hawthorne, Kaveesh Pulnah","doi":"10.1109/ICAC.2008.23","DOIUrl":"https://doi.org/10.1109/ICAC.2008.23","url":null,"abstract":"This paper describes a highly flexible component architecture, primarily designed for automotive control systems, that supports distributed dynamically- configurable context-aware behaviour. The architecture enforces a separation of design-time and run-time concerns, enabling almost all decisions concerning runtime composition and adaptation to be deferred beyond deployment. Dynamic context management contributes to flexibility. The architecture is extensible, and can embed potentially many different self-management decision technologies simultaneously. The mechanism that implements the run-time configuration has been designed to be very robust, automatically and silently handling problems arising from the evaluation of self- management logic and ensuring that in the worst case the dynamic aspects of the system collapse down to static behavior in totally predictable ways.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115706806","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
Automatic Configuration of an Autonomic Controller: An Experimental Study with Zero-Configuration Policies 自主控制器的自动组态:零组态策略的实验研究
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.29
T. Heinis, C. Pautasso
{"title":"Automatic Configuration of an Autonomic Controller: An Experimental Study with Zero-Configuration Policies","authors":"T. Heinis, C. Pautasso","doi":"10.1109/ICAC.2008.29","DOIUrl":"https://doi.org/10.1109/ICAC.2008.29","url":null,"abstract":"Autonomic control managers can remove the need for manual system configuration in order to achieve good performance and efficient resource utilization. However, simple controllers based on reconfiguration actions tied to thresholds, or 'if-then' rules, themselves need to be configured and tuned in order to adapt the controller behavior to the expected workload characteristic. In this paper we present an experimental study of zero-configuration policies that can be automatically tuned based on analytical models of the system under control. In particular, we have designed and implemented a threshold-free self-configuration policy for a distributed workflow execution engine and compared it with a standard PID controller. The experimental results included in the paper show that using such a policy the controller can tune itself in addition to reconfiguring the distributed engine and the proposed policy out-performs simpler policies that require manual and error-prone tuning of their parameters.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130903237","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
1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center 1000岛:下一代数据中心的集成容量和工作负载管理
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.32
Xiaoyun Zhu, D. Young, B. J. Watson, Zhikui Wang, J. Rolia, S. Singhal, B. McKee, C. Hyser, D. Gmach, R. Gardner, T. Christian, L. Cherkasova
{"title":"1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center","authors":"Xiaoyun Zhu, D. Young, B. J. Watson, Zhikui Wang, J. Rolia, S. Singhal, B. McKee, C. Hyser, D. Gmach, R. Gardner, T. Christian, L. Cherkasova","doi":"10.1109/ICAC.2008.32","DOIUrl":"https://doi.org/10.1109/ICAC.2008.32","url":null,"abstract":"Recent advances in hardware and software virtualization offer unprecedented management capabilities for the mapping of virtual resources to physical resources. It is highly desirable to further create a \"service hosting abstraction\" that allows application owners to focus on service level objectives (SLOs) for their applications. This calls for a resource management solution that achieves the SLOs for many applications in response to changing data center conditions and hides the complexity from both application owners and data center operators. In this paper, we describe an automated capacity and workload management system that integrates multiple resource controllers at three different scopes and time scales. Simulation and experimental results confirm that such an integrated solution ensures efficient and effective use of data center resources while reducing service level violations for high priority applications.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"137 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132802017","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: 177
The Design of a New Context-Aware Policy Model for Autonomic Networking 自主网络中新的上下文感知策略模型的设计
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.36
J. Strassner, Srini Samudrala, Greg W. Cox, Yan Liu, M. Jiang, Jing Zhang, S. Meer, Mícheál Ó Foghlú, W. Donnelly
{"title":"The Design of a New Context-Aware Policy Model for Autonomic Networking","authors":"J. Strassner, Srini Samudrala, Greg W. Cox, Yan Liu, M. Jiang, Jing Zhang, S. Meer, Mícheál Ó Foghlú, W. Donnelly","doi":"10.1109/ICAC.2008.36","DOIUrl":"https://doi.org/10.1109/ICAC.2008.36","url":null,"abstract":"This paper describes a new version of the DEN-ng context model, and how this model in conjunction with the DEN-ng policy model can be used for more effective and flexible context management. Both are part of the FOCALE autonomic network architecture. Context selects policies, which select roles that can be used, which in turn define allowed functionality for that particular context.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124723808","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: 29
Runtime Fault-Handling for Job-Flow Management in Grid Environments 网格环境下作业流管理的运行时故障处理
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.16
Gargi Dasgupta, O. Ezenwoye, L. Fong, Selim Kalayci, S. M. Sadjadi, B. Viswanathan
{"title":"Runtime Fault-Handling for Job-Flow Management in Grid Environments","authors":"Gargi Dasgupta, O. Ezenwoye, L. Fong, Selim Kalayci, S. M. Sadjadi, B. Viswanathan","doi":"10.1109/ICAC.2008.16","DOIUrl":"https://doi.org/10.1109/ICAC.2008.16","url":null,"abstract":"The execution of job flow applications is a reality today in academic and industrial domains. In this paper, we propose an approach to adding self-healing behavior to the execution of job flows without the need to modify the job flow engines or redevelop the job flows themselves. We show the feasibility of our non-intrusive approach to self-healing by inserting a generic proxy to an existing two-level job-flow management system, which employs job flow based service orchestration at the upper level, and service choreography at the lower level. The generic proxy is inserted transparently between these two layers so that it can intercept all their interactions. We developed a prototype of our approach in a real Grid environment to show how the proxy facilitates runtime handling for failure recovery.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128316859","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
Policy-Based Automation in the Autonomic Data Center 自主数据中心中基于策略的自动化
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.9
David Kaminsky, B. Miller, A. Salahshour, J. Whitmore
{"title":"Policy-Based Automation in the Autonomic Data Center","authors":"David Kaminsky, B. Miller, A. Salahshour, J. Whitmore","doi":"10.1109/ICAC.2008.9","DOIUrl":"https://doi.org/10.1109/ICAC.2008.9","url":null,"abstract":"The autonomic data center enables enterprises to respond to pressures of cost, complexity and compliance for the information technology infrastructure that supports their business operations. A data center that uses IT service management to deliver business services offers an environment for incorporating autonomic behavior and capabilities. These autonomic characteristics can address enterprise pressures by achieving a more fully integrated data center that combines self-managing capabilities and leverages knowledge from operational activities to automate and integrate processes, tasks and resources. This paper addresses solutions for one aspect of such an autonomic data center, namely policy-based automation. In this abbreviated paper synopsis, we describe the use of policy and standards to enhance integration and automation.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127197017","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: 2
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments 为统一服务器环境下的多层应用程序生成适配策略
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.21
Gueyoung Jung, Kaustubh R. Joshi, M. Hiltunen, R. Schlichting, C. Pu
{"title":"Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments","authors":"Gueyoung Jung, Kaustubh R. Joshi, M. Hiltunen, R. Schlichting, C. Pu","doi":"10.1109/ICAC.2008.21","DOIUrl":"https://doi.org/10.1109/ICAC.2008.21","url":null,"abstract":"Creating good adaptation policies is critical to building complex autonomic systems since it is such policies that define the system configuration used in any given situation. While online approaches based on control theory and rule- based expert systems are possible solutions, each has its disadvantages. Here, a hybrid approach is described that uses modeling and optimization offline to generate suitable configurations, which are then encoded as policies that are used at runtime. The approach is demonstrated on the problem of providing dynamic management in virtualized consolidated server environments that host multiple multi-tier applications. Contributions include layered queuing models for Xen-based virtual machine environments, a novel optimization technique that uses a combination of bin packing and gradient search, and experimental results that show that automatic offline policy generation is viable and can be accurate even with modest computational effort.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123715949","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: 155
PQR: Predicting Query Execution Times for Autonomous Workload Management PQR:预测自主工作负载管理查询执行时间
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.12
Chetan Gupta, Abhay Mehta, U. Dayal
{"title":"PQR: Predicting Query Execution Times for Autonomous Workload Management","authors":"Chetan Gupta, Abhay Mehta, U. Dayal","doi":"10.1109/ICAC.2008.12","DOIUrl":"https://doi.org/10.1109/ICAC.2008.12","url":null,"abstract":"Modern enterprise data warehouses have complex workloads that are notoriously difficult to manage. One of the key pieces to managing workloads is an estimate of how long a query will take to execute. An accurate estimate of this query execution time is critical to self managing Enterprise Class Data Warehouses. In this paper we study the problem of predicting the execution time of a query on a loaded data warehouse with a dynamically changing workload. We use a machine learning approach that takes the query plan, combines it with the observed load vector of the system and uses the new vector to predict the execution time of the query. The predictions are made as time ranges. We validate our solution using real databases and real workloads. We show experimentally that our machine learning approach works well. This technology is slated for incorporation into a commercial, enterprise class DBMS.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"55 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125083284","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: 108
Anatomy of a Real-Time Intrusion Prevention System 实时入侵防御系统的剖析
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.24
Ricardo Koller, R. Rangaswami, J. Marrero, Igor Hernandez, Geoffrey Smith, Mandy Barsilai, Silviu Necula, S. M. Sadjadi, Tao Li, Krista Merrill
{"title":"Anatomy of a Real-Time Intrusion Prevention System","authors":"Ricardo Koller, R. Rangaswami, J. Marrero, Igor Hernandez, Geoffrey Smith, Mandy Barsilai, Silviu Necula, S. M. Sadjadi, Tao Li, Krista Merrill","doi":"10.1109/ICAC.2008.24","DOIUrl":"https://doi.org/10.1109/ICAC.2008.24","url":null,"abstract":"Host intrusion prevention systems for both servers and end-hosts must address the dual challenges of accuracy and performance. Researchers have mostly focused on addressing the former challenge, suggesting solutions based either on exploit- based penetration detection or anomaly-based misbehavior detection, but yet stopping short of comprehensive solutions that leverage merits of both approaches. The second challenge, however, is rarely addressed; doing so comprehensively is important since these systems can introduce substantial overhead and cause system slowdown, more so when the system load is high. We present Rootsense, a holistic and real-time intrusion prevention system that combines the merits of misbehavior- based and anomaly-based detection. Four principles govern the design and implementation of Rootsense. First, Rootsense audits events within different subsystems of the host operating system and correlates them to comprehensively capture the global system state. Second, Rootsense restricts the detection domain to root compromises only; doing so reduces run-time overhead and increases detection accuracy (root behavior is more easily modeled than user behavior). Third, Rootsense adopts a dual approach to intrusion detection - a root penetration detector detects activities that exploit system vulnerabilities to penetrate the security perimeter, and a root misbehavior detector tracks misbehavior by root processes. Fourth, Rootsense is designed to be configurable for overhead management allowing the system administrator to tune the overhead characteristics of the intrusion prevention system that affect foreground task performance. A Linux implementation of Rootsense is analyzed for both accuracy and performance, using several real-world exploits and a range of end-host and server benchmarks.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130734535","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: 30
Guided Problem Diagnosis through Active Learning 通过主动学习引导问题诊断
2008 International Conference on Autonomic Computing Pub Date : 2008-06-02 DOI: 10.1109/ICAC.2008.28
S. Duan, S. Babu
{"title":"Guided Problem Diagnosis through Active Learning","authors":"S. Duan, S. Babu","doi":"10.1109/ICAC.2008.28","DOIUrl":"https://doi.org/10.1109/ICAC.2008.28","url":null,"abstract":"There is widespread interest today in developing tools that can diagnose the cause of a system failure accurately and efficiently based on monitoring data collected from the system. Over time, the system monitoring data will contain two types of failure data: (i) annotated failure data L, which is monitoring data collected from failure states of the system, where the cause of failure has been diagnosed and attached as annotations with the data; and (ii) unannotated failure data U. Previous work on wholly- or partially-automated diagnosis focused on L or U in isolation. In this paper, we argue that it is important to consider both L and U together to improve the overall accuracy of diagnosis; and in particular, to proactively move instances from U to L. However, such movement requires manual diagnosis effort from system administrators. Since manual diagnosis is expensive and time-consuming, we propose an algorithm to make the best use of manual effort while maximizing the benefit gained from newly diagnosed instances. We report an experimental evaluation of our algorithm using data from a variety of failures - both single failures and multiple correlated failures - injected in a testbed, as well as with synthetic data.","PeriodicalId":436716,"journal":{"name":"2008 International Conference on Autonomic Computing","volume":"128 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114101584","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: 50
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信