V. Kalogeraki, D. Gunopulos, R. Sandhu, B. Thuraisingham
{"title":"QoS Aware Dependable Distributed Stream Processing","authors":"V. Kalogeraki, D. Gunopulos, R. Sandhu, B. Thuraisingham","doi":"10.1109/ISORC.2008.77","DOIUrl":null,"url":null,"abstract":"In this paper we describe our approach for developing a QoS-aware, dependable execution environment for large-scale distributed stream processing applications. Distributed stream processing applications have strong timeliness and security demands. In particular, we address the following challenges: (1) propose a real-time dependable execution model by extending the component-based execution model with real-time and dependability properties, and (2) develop QoS-aware application composition and adaptation techniques that employ resource management strategies and security policies when discovering and selecting application components. Our approach enables us to develop a distributed stream processing environment that is predictable, secure, flexible and adaptable.","PeriodicalId":378715,"journal":{"name":"2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISORC.2008.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper we describe our approach for developing a QoS-aware, dependable execution environment for large-scale distributed stream processing applications. Distributed stream processing applications have strong timeliness and security demands. In particular, we address the following challenges: (1) propose a real-time dependable execution model by extending the component-based execution model with real-time and dependability properties, and (2) develop QoS-aware application composition and adaptation techniques that employ resource management strategies and security policies when discovering and selecting application components. Our approach enables us to develop a distributed stream processing environment that is predictable, secure, flexible and adaptable.