Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)最新文献_第3页

Regulated delegation in distributed systems 分布式系统中的规范委托

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.27

X. Ao, N. Minsky

引用次数: 8

Toward information sharing: benefit and risk access control (BARAC) 面向信息共享:利益与风险访问控制(BARAC)

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.36

Lei Zhang, A. Brodsky, S. Jajodia

引用次数: 56

Distributed control enabling consistent MAC policies and IDS based on a meta-policy approach 分布式控制，支持基于元策略方法的一致MAC策略和IDS

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.15

M. Blanc, Jérémy Briffaut, Jean-François Lalande, C. Toinard

引用次数: 15

Trust meta-policies for flexible and dynamic policy based trust management 用于灵活和动态的基于策略的信任管理的信任元策略

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.37

K. Quinn, D. Lewis, D. O’Sullivan, V. Wade

引用次数: 10

Coordination between distributed PDPs 分布式pdp之间的协调

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.14

D. Chadwick, L. Su, S. Otenko, R. Laborde

引用次数: 19

A scalable history-based policy engine 一个可扩展的基于历史的策略引擎

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.8

P. Gama, Carlos Ribeiro, Paulo Ferreira

{"title":"A scalable history-based policy engine","authors":"P. Gama, Carlos Ribeiro, Paulo Ferreira","doi":"10.1109/POLICY.2006.8","DOIUrl":"https://doi.org/10.1109/POLICY.2006.8","url":null,"abstract":"The increasing complexity and heterogeneity in distributed systems is drawing system administrators into applying usage and access control policy engines. Higher-level policy languages allow policy administrators to demarcate themselves from implementation details, thus focusing on business rule definition. More specifically, history-based policies allow the specification of rules based on events that occurred in the past, such as separation-of-duty related rules (e.g. an employee cannot both issue a voucher and approve the payment). Several policy engines already support history-based semantics. However, they either provide limited expressiveness in policy rules or they neglect critical scalability issues. Individual policy definitions are disregarded in storage and lookup implementations, thus ignoring the potential for important performance optimizations. Furthermore, purging meta-policy semantics are not provided, inducing the growth of the past event repository until policy evaluation becomes unmanageable. We present an extension to the Heimdall system, a history-enabled policy engine which allows the definition, enforcement and auditing of history-based policies. This extension targets the scalability of Heimdall in practical environments, introducing an evaluation optimizer and the concept of purging meta-policy tags. An evaluation built on selected usage patterns corroborates the effectiveness of our approach, denoting encouraging performance results","PeriodicalId":169233,"journal":{"name":"Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130627833","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: 11

Workload class importance policy in autonomic database management systems 自主数据库管理系统中的工作负载等级重要性策略

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.39

H. Boughton, Patrick Martin, W. Powley, Randy Horman

引用次数: 23

A Functional Solution for Goal-Ooriented Policy Refinement 面向目标策略细化的功能解决方案

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.5

J. Rubio-Loyola, J. Serrat, M. Charalambides, P. Flegkas, G. Pavlou

引用次数: 41

A policy-based management system with automatic policy selection and creation capabilities by using a singular value decomposition technique 基于策略的管理系统，通过使用奇异值分解技术，具有自动策略选择和创建功能

Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06) Pub Date : 2006-06-05 DOI: 10.1109/POLICY.2006.6

H. Chan, T. Kwok

{"title":"A policy-based management system with automatic policy selection and creation capabilities by using a singular value decomposition technique","authors":"H. Chan, T. Kwok","doi":"10.1109/POLICY.2006.6","DOIUrl":"https://doi.org/10.1109/POLICY.2006.6","url":null,"abstract":"On demand and autonomic computing will benefit from policy-based management systems which are responsive to new and ambiguous situations and learn from them. In a typical data center, there are thousands of different events reporting system faults, status, and performance information. Their occurrences are unpredictable. In addition, new events and conditions can occur as operating environment changes. Traditional approaches of authoring policies and techniques of implementing policy-based management systems, such as relying entirely on static authoring of simple \"if [condition] then [actions]\" rules, become insufficient. Hence, new approaches, such as goal policy, utility function etc., to the design and implementation of policy-based management systems have emerged. However, none of these approaches provides a systematic way to enable policies in a policy-based management system to be responsive to new and ambiguous situations. In this paper, we describe a novel method by which policies can be selected or created automatically based on events observed and knowledge learned. This new approach treats the observed event-policy relationship represented by an event-policy matrix as a statistical problem. Using singular value decomposition (SVD) technique, implicit higher order correlations among policies and their associated events are used to estimate the selection or creation of recommended policies based on events found in the observed event set. Initial results have indicated that this approach to policy-based management system is very promising","PeriodicalId":169233,"journal":{"name":"Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126922989","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