Designing old and new distributed algorithms by replaying an incremental proof-based development
Identifieur interne : 004E83 ( Main/Exploration ); précédent : 004E82; suivant : 004E84Designing old and new distributed algorithms by replaying an incremental proof-based development
Auteurs : Dominique Cansell [France] ; Dominique Méry [France]Source :
Abstract
he paper reports on practical experience with the event B method, when developing case studies, especially distributed algorithms, which are very complex to verify in practice. Using the event B method, we develop a famous distributed algorithm, namely the leader election protocol for an acyclic network, generally known as the IEEE 1394. The algorithm exists and the refinement helps us to model it entirely in an elegant way. The final model is very close to the real algorithm. Only the termination proof is missing, since it is a probabilistic algorithm, as well as the contention resolution, which is solved at a global abstract level. Modelling is clearly fundamental and complex; it should be carried out by persons able to use refinement and to manage abstractions or more precisely abstract models and proofs. Advantages of such an incremental development are multiple what we quote here and that will be explained in detail. We replay the development to improve the proof process and we obtain new distributed algorithms solving the leader election proto- col problem. Two strategies are used to build the new algorithms; a first strategy is called the contention resolution; a second strategy is called the contention prevention and is based on a priority among possible nodes of the network. The two resulting algorithms are cheaper than the original IEEE 1394 protocol and neither acknowledgement, nor confirmation is required. We show how the techniques of localisation help in deriving the final distributed algorithm. The paper is an extended version of the com- plete development of the two new algorithms and it aims to emphasize methodological aspects related to the event B development.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
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Le document en format XML
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type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">he paper reports on practical experience with the event B method, when developing case studies, especially distributed algorithms, which are very complex to verify in practice. Using the event B method, we develop a famous distributed algorithm, namely the leader election protocol for an acyclic network, generally known as the IEEE 1394. The algorithm exists and the refinement helps us to model it entirely in an elegant way. The final model is very close to the real algorithm. Only the termination proof is missing, since it is a probabilistic algorithm, as well as the contention resolution, which is solved at a global abstract level. Modelling is clearly fundamental and complex; it should be carried out by persons able to use refinement and to manage abstractions or more precisely abstract models and proofs. Advantages of such an incremental development are multiple what we quote here and that will be explained in detail. We replay the development to improve the proof process and we obtain new distributed algorithms solving the leader election proto- col problem. Two strategies are used to build the new algorithms; a first strategy is called the contention resolution; a second strategy is called the contention prevention and is based on a priority among possible nodes of the network. The two resulting algorithms are cheaper than the original IEEE 1394 protocol and neither acknowledgement, nor confirmation is required. We show how the techniques of localisation help in deriving the final distributed algorithm. The paper is an extended version of the com- plete development of the two new algorithms and it aims to emphasize methodological aspects related to the event B development.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Cansell, Dominique" sort="Cansell, Dominique" uniqKey="Cansell D" first="Dominique" last="Cansell">Dominique Cansell</name></region><name sortKey="Mery, Dominique" sort="Mery, Dominique" uniqKey="Mery D" first="Dominique" last="Méry">Dominique Méry</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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