International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07)最新文献

Extensible Contract Broker for Performance Differentiation 可扩展的业绩差异化合约代理

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.7

P. Furtado, Celso Rafael Santos

引用次数: 5

A Proposal for an Autonomic Grid Management System 一个自主网格管理系统的构想

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.1

R. Desmarais, H. Müller

引用次数: 3

Mixed-Mode Adaptation in Distributed Systems: A Case Study 分布式系统中的混合模式自适应:一个案例研究

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.12

Karun N. Biyani, S. Kulkarni

引用次数: 8

Goal-Directed Context Validation for Adaptive Ubiquitous Systems 自适应泛在系统的目标导向上下文验证

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.8

Chang Xu, S. Cheung, W. Chan

引用次数: 7

Towards an Autonomic Element Architecture for ASSL 面向ASSL的自主元素体系结构

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.21

Emil Vassev, J. Paquet

引用次数: 15

The WSDM of Autonomic Computing: Experiences in Implementing Autonomic Web Services 自主计算的WSDM:实现自主Web服务的经验

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.19

Patrick Martin, W. Powley, Kirk Wilson, W. Tian, T. Xu, J. Zebedee

引用次数: 18

A Survey of Approaches to Adaptive Application Security 自适应应用程序安全方法综述

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.2

Ahmed M. Elkhodary, J. Whittle

引用次数: 50

Research Issues in Multiple Policy Optimization Using Collaborative Reinforcement Learning 基于协同强化学习的多策略优化研究问题

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.17

Ivana Dusparic, V. Cahill

{"title":"Research Issues in Multiple Policy Optimization Using Collaborative Reinforcement Learning","authors":"Ivana Dusparic, V. Cahill","doi":"10.1109/SEAMS.2007.17","DOIUrl":"https://doi.org/10.1109/SEAMS.2007.17","url":null,"abstract":"Self-organizing techniques have successfully been used to optimize software systems, such as optimization of route stability in ad hoc network routing and optimization of the use of storage space or processing power using load balancing. Existing self-organizing techniques typically focus on a single, usually implicitly specified, system goal and tune systems parameters towards optimally meeting that goal. In this paper, we consider optimization of large-scale multi-agent ubiquitous computing environments, such as urban traffic control. Applications in this class are typically required to optimize towards multiple goals simultaneously. Additionally, these multiple goals can potentially be conflicting, change over time, and apply to various parts of the system such as a single agent, a group of agents, or the system as a whole. In contrast to existing self-organizing systems in which agents are homogeneous to the extent that they are working towards a common goal, agents in these systems are heterogeneous in that they may have differing goals. Thus, existing self-organizing optimization techniques must be extended to deal with multiple goal optimization and the resulting heterogeneity of agents. In this paper we present a research agenda for extending collaborative reinforcement learning (CRL), an existing self-organizing optimization technique, to support multiple policy optimization.","PeriodicalId":354701,"journal":{"name":"International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07)","volume":"20 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113957222","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

Quality Criteria and an Analysis Framework for Self-Healing Systems 自我修复系统的质量标准和分析框架

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.15

Sangeeta Neti, H. Müller

{"title":"Quality Criteria and an Analysis Framework for Self-Healing Systems","authors":"Sangeeta Neti, H. Müller","doi":"10.1109/SEAMS.2007.15","DOIUrl":"https://doi.org/10.1109/SEAMS.2007.15","url":null,"abstract":"Autonomic computing has become more prevalent and hence its evaluation is becoming more important. This paper addresses the issue of evaluating the software architecture of self-healing applications with respect to the changes and adaptation over long periods of time. To facilitate this evaluation, we developed an analysis and reasoning framework for the architecture of self-healing systems. The framework is based on attribute-based architectural styles (ABASs) and is tailored to selected quality attributes. When an autonomic system evolves, our framework can be used to re-analyze the system and verify certain quality attributes. The explicitly available relationship between architecture and quality attributes not only helps in documenting the current architecture design, but also allows developers to reuse the architectural analysis during long-term evolution when the original system designers are long gone. Hence, the proposed framework can facilitate both design and maintenance of self-healing systems. As a first step in the analysis, we identify key quality attributes for self-healing systems. We have also defined new autonomic specific quality attributes for self-healing systems. Further, we have customized the ISO 9126 quality model to the quality requirements of self-healing systems, considering both traditional attributes as well as newly defined autonomic-specific attributes.","PeriodicalId":354701,"journal":{"name":"International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124106648","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

Implementing Adaptive Performance Management in Server Applications 在服务器应用程序中实现自适应性能管理

International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07) Pub Date : 2007-05-20 DOI: 10.1109/SEAMS.2007.9

Y. Liu, I. Gorton

{"title":"Implementing Adaptive Performance Management in Server Applications","authors":"Y. Liu, I. Gorton","doi":"10.1109/SEAMS.2007.9","DOIUrl":"https://doi.org/10.1109/SEAMS.2007.9","url":null,"abstract":"Performance and scalability are critical quality attributes for server applications in Internet-facing business systems. These applications operate in dynamic environments with rapidly fluctuating user loads and resource levels, and unpredictable system faults- Adaptive (autonomic) systems research aims to augment such server applications with intelligent control logic that can detect and react to sudden environmental changes. However, developing this adaptive logic is complex in itself. In addition, executing the adaptive logic consumes processing resources, and hence may (paradoxically) adversely effect application performance. In this paper we describe an approach for developing high-performance adaptive server applications and the supporting technology. The Adaptive Server Framework (ASF) is built on standard middleware services, and can be used to augment legacy systems with adaptive behavior without needing to change the application business logic. Crucially, ASF provides built-in control loop components to optimize the overall application performance, which comprises both the business and adaptive logic. The control loop is based on performance models and allows systems designers to tune the performance levels simply by modifying high level declarative policies. We demonstrate the use of ASF in a case study.","PeriodicalId":354701,"journal":{"name":"International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859344","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: 20