{"id":{"repo_id":"unlv","oai_identifier":"oai:oasis.library.unlv.edu:rtds-1315"},"canonical_url":"https://search.dev.ndltd.org/etd/unlv/oai:oasis.library.unlv.edu:rtds-1315","repository":{"repo_id":"unlv","name":"University of Nevada - Las Vegas","base_url":"https://oasis.library.unlv.edu/do/oai/"},"display":{"title":"Distributed mutual exclusion algorithms","abstract":"In this thesis we present three original algorithms which solve the distributed mutual exclusion problem. Two of the three solve the problem of allowing only one site at a time into the critical section. The third solves the more difficult problem of allowing a specific number of sites (k sites) into the critical section at a time; All three algorithms are \"Token Based\". That is, they make use of a token and token queue in order to guarantee mutual exclusion. Only the site that currently has the token is allowed to enter its critical section in the 1 mutual exclusion algorithms. Only the sites that have seen the token, since they requested it, are allowed to enter their critical sections in the k mutual exclusion algorithm; The primary goal of our algorithms is efficiency. Both of our 1 mutual exclusion algorithms require between 2 and n messages per critical section (n being the number of sites) depending on the number of requests for the critical section. Our k mutual exclusion has similar requirements between 3 and n messages per critical section depending on the number of requests for the critical section. (Abstract shortened by UMI.).","abstract_html":"In this thesis we present three original algorithms which solve the distributed mutual exclusion problem. Two of the three solve the problem of allowing only one site at a time into the critical section. The third solves the more difficult problem of allowing a specific number of sites (k sites) into the critical section at a time; All three algorithms are &quot;Token Based&quot;. That is, they make use of a token and token queue in order to guarantee mutual exclusion. Only the site that currently has the token is allowed to enter its critical section in the 1 mutual exclusion algorithms. Only the sites that have seen the token, since they requested it, are allowed to enter their critical sections in the k mutual exclusion algorithm; The primary goal of our algorithms is efficiency. Both of our 1 mutual exclusion algorithms require between 2 and n messages per critical section (n being the number of sites) depending on the number of requests for the critical section. Our k mutual exclusion has similar requirements between 3 and n messages per critical section depending on the number of requests for the critical section. (Abstract shortened by UMI.).","abstract_has_math":false,"creators":["Banta, Paul"],"institution":"University of Nevada, Las Vegas","degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1993,"date_issued":"1993-01-01T08:00:00Z","date_published":"1993-01-01T08:00:00Z","updated_at":"2026-07-24T05:24:22Z","subjects":[],"languages":["English"],"rights":["IN COPYRIGHT. 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Only the site that currently has the token is allowed to enter its critical section in the 1 mutual exclusion algorithms. Only the sites that have seen the token, since they requested it, are allowed to enter their critical sections in the k mutual exclusion algorithm; The primary goal of our algorithms is efficiency. Both of our 1 mutual exclusion algorithms require between 2 and n messages per critical section (n being the number of sites) depending on the number of requests for the critical section. Our k mutual exclusion has similar requirements between 3 and n messages per critical section depending on the number of requests for the critical section. (Abstract shortened by UMI.)."]},{"key":"dc:format","label":"Dc Format","values":["pdf"]},{"key":"dc:title","label":"Title","values":["Distributed mutual exclusion algorithms"]}]}],"canonical_facts":{"dc:creator":["Banta, Paul"],"dc:description.abstract":["In this thesis we present three original algorithms which solve the distributed mutual exclusion problem. Two of the three solve the problem of allowing only one site at a time into the critical section. The third solves the more difficult problem of allowing a specific number of sites (k sites) into the critical section at a time; All three algorithms are \"Token Based\". That is, they make use of a token and token queue in order to guarantee mutual exclusion. Only the site that currently has the token is allowed to enter its critical section in the 1 mutual exclusion algorithms. Only the sites that have seen the token, since they requested it, are allowed to enter their critical sections in the k mutual exclusion algorithm; The primary goal of our algorithms is efficiency. Both of our 1 mutual exclusion algorithms require between 2 and n messages per critical section (n being the number of sites) depending on the number of requests for the critical section. Our k mutual exclusion has similar requirements between 3 and n messages per critical section depending on the number of requests for the critical section. (Abstract shortened by UMI.)."],"dc:format":["pdf"],"dc:identifier":["10.25669/t1yh-ub7e","https://oasis.library.unlv.edu/rtds/316","https://oasis.library.unlv.edu/context/rtds/article/1315/viewcontent/uc.pdf"],"dc:language":["English"],"dc:publisher":["University of Nevada, Las Vegas"],"dc:rights":["IN COPYRIGHT. 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