{"title":"利用去中心化的生物启发自组织算法开发真实系统","authors":"E. D. Nitto, Daniel J. Dubois, R. Mirandola","doi":"10.1109/SEAMS.2009.5069075","DOIUrl":null,"url":null,"abstract":"The current research trends in Software Engineering are focusing on the development of new techniques to deal intelligently and efficiently with the design of systems that are able to evolve overtime and adapt to rapid changes of their requirements. In particular, the field of Autonomic Computing has been created to study these types of systems with the ultimate aim to create systems that are able to self-configure, self-optimize, self-heal and self-protect without any external intervention. What we study in this paper is a set of the most relevant bio-inspired principles that may be applied to these systems. We discuss how to apply them to develop or adapt self-organization algorithms to real evolvable systems and we present two examples of applications that we have developed.","PeriodicalId":356454,"journal":{"name":"2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"On exploiting decentralized bio-inspired self-organization algorithms to develop real systems\",\"authors\":\"E. D. Nitto, Daniel J. Dubois, R. Mirandola\",\"doi\":\"10.1109/SEAMS.2009.5069075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current research trends in Software Engineering are focusing on the development of new techniques to deal intelligently and efficiently with the design of systems that are able to evolve overtime and adapt to rapid changes of their requirements. In particular, the field of Autonomic Computing has been created to study these types of systems with the ultimate aim to create systems that are able to self-configure, self-optimize, self-heal and self-protect without any external intervention. What we study in this paper is a set of the most relevant bio-inspired principles that may be applied to these systems. We discuss how to apply them to develop or adapt self-organization algorithms to real evolvable systems and we present two examples of applications that we have developed.\",\"PeriodicalId\":356454,\"journal\":{\"name\":\"2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEAMS.2009.5069075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEAMS.2009.5069075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On exploiting decentralized bio-inspired self-organization algorithms to develop real systems
The current research trends in Software Engineering are focusing on the development of new techniques to deal intelligently and efficiently with the design of systems that are able to evolve overtime and adapt to rapid changes of their requirements. In particular, the field of Autonomic Computing has been created to study these types of systems with the ultimate aim to create systems that are able to self-configure, self-optimize, self-heal and self-protect without any external intervention. What we study in this paper is a set of the most relevant bio-inspired principles that may be applied to these systems. We discuss how to apply them to develop or adapt self-organization algorithms to real evolvable systems and we present two examples of applications that we have developed.
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