Naveen Kumar, Jonathan Misurda, B. Childers, M. Soffa
Self-managed software requires monitoring and code changes to an executing program. One technology that enables such self management is software dynamic translation (SDT), which allows a program's execution to be intercepted and controlled by a separate software layer. SDT has been used to build many useful applications, including software security checkers that check for code vulnerabilities, dynamic code optimizers, and program introspection tools. While these systems use program instrumentation, the instrumentation is usually tailored to a specific application and infrastructure. What is missing is a single scalable and flexible instrumentation framework that can be used in different self-managed SDT infrastructures. In this paper, we describe such a framework, called "FIST," that can be used and targeted by different algorithms and tools to enable instrumentation applications that are portable across SDTs and machine platforms. Our interface supports multiple levels of granularity from source level constructs to the instruction and machine level. We describe and evaluate FIST's capabilities in the Strata system for the SPARC and the Jikes Research Virtual Machine for Java on the Intel x86.
{"title":"Instrumentation in software dynamic translators for self-managed systems","authors":"Naveen Kumar, Jonathan Misurda, B. Childers, M. Soffa","doi":"10.1145/1075405.1075423","DOIUrl":"https://doi.org/10.1145/1075405.1075423","url":null,"abstract":"Self-managed software requires monitoring and code changes to an executing program. One technology that enables such self management is software dynamic translation (SDT), which allows a program's execution to be intercepted and controlled by a separate software layer. SDT has been used to build many useful applications, including software security checkers that check for code vulnerabilities, dynamic code optimizers, and program introspection tools. While these systems use program instrumentation, the instrumentation is usually tailored to a specific application and infrastructure. What is missing is a single scalable and flexible instrumentation framework that can be used in different self-managed SDT infrastructures. In this paper, we describe such a framework, called \"FIST,\" that can be used and targeted by different algorithms and tools to enable instrumentation applications that are portable across SDTs and machine platforms. Our interface supports multiple levels of granularity from source level constructs to the instruction and machine level. We describe and evaluate FIST's capabilities in the Strata system for the SPARC and the Jikes Research Virtual Machine for Java on the Intel x86.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129814583","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}
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual components learn to adapt to recover from faults in an uncertain environment? How can a decentralised system coordinate the adaptive behaviour of its components to realise system optimisation goals given problems establishing consensus in dynamic environments? This paper introduces a self-adaptive component model, called K-Components, that enables individual components adapt to a changing environment and a decentralised coordination model, called collaborative reinforcement learning, that enables groups of components to learn to collectively adapt their behaviour to establish and maintain system-wide properties in a changing environment.
{"title":"Self-managed decentralised systems using K-components and collaborative reinforcement learning","authors":"J. Dowling, V. Cahill","doi":"10.1145/1075405.1075413","DOIUrl":"https://doi.org/10.1145/1075405.1075413","url":null,"abstract":"Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual components learn to adapt to recover from faults in an uncertain environment? How can a decentralised system coordinate the adaptive behaviour of its components to realise system optimisation goals given problems establishing consensus in dynamic environments? This paper introduces a self-adaptive component model, called K-Components, that enables individual components adapt to a changing environment and a decentralised coordination model, called collaborative reinforcement learning, that enables groups of components to learn to collectively adapt their behaviour to establish and maintain system-wide properties in a changing environment.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125312494","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}
In this paper, we identify an agent-based workflow system to mirror critical elements in large systems architectures. We propose the use of this light-weight agent-based service channel to complement existing systems. By pushing the adaptive smarts into critical application connectors, we believe that we can improve the ability of large systems to self-heal and scale.
{"title":"Adaptive mirroring of system of systems architectures","authors":"Nathan Combs, Jeffrey L. Vagle","doi":"10.1145/582128.582147","DOIUrl":"https://doi.org/10.1145/582128.582147","url":null,"abstract":"In this paper, we identify an agent-based workflow system to mirror critical elements in large systems architectures. We propose the use of this light-weight agent-based service channel to complement existing systems. By pushing the adaptive smarts into critical application connectors, we believe that we can improve the ability of large systems to self-heal and scale.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126180561","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}
G. Blair, G. Coulson, L. Blair, H. Duran-Limon, P. Grace, Rui S. Moreira, N. Parlavantzas
There is a growing interest in the area of self-healing systems. Self-healing does however impose considerable demands on system infrastructures---especially in terms of openness and support for reconfigurability. This paper proposes that the self-awareness inherent in reflective technologies lends itself well to the construction of self-healing systems. In particular, the paper examines the support provided by the Open ORB reflective middleware technology for the construction of this increasingly important class of system.
{"title":"Reflection, self-awareness and self-healing in OpenORB","authors":"G. Blair, G. Coulson, L. Blair, H. Duran-Limon, P. Grace, Rui S. Moreira, N. Parlavantzas","doi":"10.1145/582128.582131","DOIUrl":"https://doi.org/10.1145/582128.582131","url":null,"abstract":"There is a growing interest in the area of self-healing systems. Self-healing does however impose considerable demands on system infrastructures---especially in terms of openness and support for reconfigurability. This paper proposes that the self-awareness inherent in reflective technologies lends itself well to the construction of self-healing systems. In particular, the paper examines the support provided by the Open ORB reflective middleware technology for the construction of this increasingly important class of system.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128484465","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}
Our approach to creating self-healing systems is based on software architecture, where repairs are done at the level of a software system's components and connectors. In our approach, event-based software architectures are targeted because they offer significant benefits for run-time adaptation. Before an automated planning agent can decide how to repair a self-healing system, a significant infrastructure must be in place to support making the planned repair. Specifically, the self-healing system must be built using a framework that allows for run-time adaptation, there must be a language in which to express the repair plan, and there must be a reconfiguration agent that can execute the repair plan once it is created. In this paper, we present tools and methods that implement these infrastructure elements in the context of an overall architecture-based vision for building self-healing systems. The paper concludes with a gap analysis of our current infrastructure vs. the overall vision, and our plans for fulfilling that vision.
{"title":"Towards architecture-based self-healing systems","authors":"Eric M. Dashofy, A. Hoek, R. Taylor","doi":"10.1145/582128.582133","DOIUrl":"https://doi.org/10.1145/582128.582133","url":null,"abstract":"Our approach to creating self-healing systems is based on software architecture, where repairs are done at the level of a software system's components and connectors. In our approach, event-based software architectures are targeted because they offer significant benefits for run-time adaptation. Before an automated planning agent can decide how to repair a self-healing system, a significant infrastructure must be in place to support making the planned repair. Specifically, the self-healing system must be built using a framework that allows for run-time adaptation, there must be a language in which to express the repair plan, and there must be a reconfiguration agent that can execute the repair plan once it is created. In this paper, we present tools and methods that implement these infrastructure elements in the context of an overall architecture-based vision for building self-healing systems. The paper concludes with a gap analysis of our current infrastructure vs. the overall vision, and our plans for fulfilling that vision.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126803830","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}
Sam Michiels, Lieven Desmet, N. Janssens, Tom Mahieu, P. Verbaeten
A major problem in todays Internet servers is that they suffer from extreme peak loads. Traditional (operating) systems are designed to perform extremely well under heavy load conditions. However, it is not feasible to over-provision resources only to support peak loads. A key factor to deal with such peak loads is internal concurrency control. We have developed a component based architecture (DMonA), which allows to adapt internal concurrency according to measured throughput. Performance tests show that DMonA outperforms traditional approaches, while it is still very manageable thanks to the underlying DiPS component architecture.
{"title":"Self-adapting concurrency: the DMonA architecture","authors":"Sam Michiels, Lieven Desmet, N. Janssens, Tom Mahieu, P. Verbaeten","doi":"10.1145/582128.582137","DOIUrl":"https://doi.org/10.1145/582128.582137","url":null,"abstract":"A major problem in todays Internet servers is that they suffer from extreme peak loads. Traditional (operating) systems are designed to perform extremely well under heavy load conditions. However, it is not feasible to over-provision resources only to support peak loads. A key factor to deal with such peak loads is internal concurrency control. We have developed a component based architecture (DMonA), which allows to adapt internal concurrency according to measured throughput. Performance tests show that DMonA outperforms traditional approaches, while it is still very manageable thanks to the underlying DiPS component architecture.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133765562","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}
Considering the current trend of building systems from existing components that allow neither code inspection nor change, the solution for enabling dynamic adaptation of software systems should not be intrusive in the way that components should be designed. The architectural approach for treating faults described in this paper, instead of providing mechanisms and techniques at the component level, it relies on the interactions between components for obtaining flexible software structures that are nevertheless robust to the occurrence of undesirable events.
{"title":"An architectural support for self-adaptive software for treating faults","authors":"R. Lemos, J. Fiadeiro","doi":"10.1145/582128.582136","DOIUrl":"https://doi.org/10.1145/582128.582136","url":null,"abstract":"Considering the current trend of building systems from existing components that allow neither code inspection nor change, the solution for enabling dynamic adaptation of software systems should not be intrusive in the way that components should be designed. The architectural approach for treating faults described in this paper, instead of providing mechanisms and techniques at the component level, it relies on the interactions between components for obtaining flexible software structures that are nevertheless robust to the occurrence of undesirable events.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122071870","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}
There is an increasing need for software systems to be able to adapt to changing conditions of resource variability, component malfunction and malicious intrusion. Such self-healing systems can prove extremely useful in situations where continuous service is critical or manual repair is not feasible. Human efforts to engineer self-healing systems have had limited success, but nature has developed extraordinary mechanisms for robustness and self-healing over billions of years. Nature's programs are encoded in DNA and exhibit remarkable density and expressiveness. We argue that the software engineering community can learn a great deal about building systems from the broader concepts surrounding biological cell programs and the strategies they use to robustly accomplish complex tasks such as development, healing and regeneration. We present a cell-based programming model inspired from biology and speculate on biologically inspired strategies for producing robust, scalable and self-healing software systems.
{"title":"A biologically inspired programming model for self-healing systems","authors":"S. George, David Evans, L. Davidson","doi":"10.1145/582128.582149","DOIUrl":"https://doi.org/10.1145/582128.582149","url":null,"abstract":"There is an increasing need for software systems to be able to adapt to changing conditions of resource variability, component malfunction and malicious intrusion. Such self-healing systems can prove extremely useful in situations where continuous service is critical or manual repair is not feasible. Human efforts to engineer self-healing systems have had limited success, but nature has developed extraordinary mechanisms for robustness and self-healing over billions of years. Nature's programs are encoded in DNA and exhibit remarkable density and expressiveness. We argue that the software engineering community can learn a great deal about building systems from the broader concepts surrounding biological cell programs and the strategies they use to robustly accomplish complex tasks such as development, healing and regeneration. We present a cell-based programming model inspired from biology and speculate on biologically inspired strategies for producing robust, scalable and self-healing software systems.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131090222","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}
A self-organising software architecture is one in which components automatically configure their interaction in a way that is compatible with an overall architectural specification. The objective is to minimise the degree of explicit management necessary for construction and subsequent evolution whilst preserving the architectural properties implied by its specification. This paper examines the feasibility of using architectural constraints as the basis for the specification, design and implementation of self-organising architectures for distributed systems. Although we focus on organising the structure of systems, we show how component state can influence reconfiguration via interface attributes.
{"title":"Self-organising software architectures for distributed systems","authors":"Ioannis Georgiadis, J. Magee, J. Kramer","doi":"10.1145/582128.582135","DOIUrl":"https://doi.org/10.1145/582128.582135","url":null,"abstract":"A self-organising software architecture is one in which components automatically configure their interaction in a way that is compatible with an overall architectural specification. The objective is to minimise the degree of explicit management necessary for construction and subsequent evolution whilst preserving the architectural properties implied by its specification. This paper examines the feasibility of using architectural constraints as the basis for the specification, design and implementation of self-organising architectures for distributed systems. Although we focus on organising the structure of systems, we show how component state can influence reconfiguration via interface attributes.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129300900","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}
{"title":"Self-healing open systems","authors":"S. Fickas, R. Hall","doi":"10.1145/582128.582148","DOIUrl":"https://doi.org/10.1145/582128.582148","url":null,"abstract":"","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125577537","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}
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