{"title":"排序和堆化的自稳定算法","authors":"Doina Bein, A. Datta, L. Larmore","doi":"10.1109/IPDPS.2008.4536327","DOIUrl":null,"url":null,"abstract":"We present two space and time efficient asynchronous distributed self-stabilizing algorithms. The first sorts an oriented chain network and the second heapifies a rooted tree network. The time complexity of both solutions is linear - in terms of the nodes (for the chain) and height (for the tree). The chain sorting algorithm uses O(m) bits per process where m represents the number of bits required to store any value in the network. The heapify algorithm needs O(m ldr D) bits per process where D is the degree of the tree.","PeriodicalId":162608,"journal":{"name":"2008 IEEE International Symposium on Parallel and Distributed Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Self-stabilizing algorithms for sorting and heapification\",\"authors\":\"Doina Bein, A. Datta, L. Larmore\",\"doi\":\"10.1109/IPDPS.2008.4536327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present two space and time efficient asynchronous distributed self-stabilizing algorithms. The first sorts an oriented chain network and the second heapifies a rooted tree network. The time complexity of both solutions is linear - in terms of the nodes (for the chain) and height (for the tree). The chain sorting algorithm uses O(m) bits per process where m represents the number of bits required to store any value in the network. The heapify algorithm needs O(m ldr D) bits per process where D is the degree of the tree.\",\"PeriodicalId\":162608,\"journal\":{\"name\":\"2008 IEEE International Symposium on Parallel and Distributed Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Parallel and Distributed Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPS.2008.4536327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Parallel and Distributed Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPS.2008.4536327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-stabilizing algorithms for sorting and heapification
We present two space and time efficient asynchronous distributed self-stabilizing algorithms. The first sorts an oriented chain network and the second heapifies a rooted tree network. The time complexity of both solutions is linear - in terms of the nodes (for the chain) and height (for the tree). The chain sorting algorithm uses O(m) bits per process where m represents the number of bits required to store any value in the network. The heapify algorithm needs O(m ldr D) bits per process where D is the degree of the tree.