000 04587nam a22005295i 4500
001 978-3-031-02006-3
003 DE-He213
005 20240730163752.0
007 cr nn 008mamaa
008 220601s2012 sz | s |||| 0|eng d
020 _a9783031020063
_9978-3-031-02006-3
024 7 _a10.1007/978-3-031-02006-3
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aCOM000000
_2bisacsh
072 7 _aUY
_2thema
082 0 4 _a004
_223
100 1 _aWelch, Jennifer.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980476
245 1 0 _aLink Reversal Algorithms
_h[electronic resource] /
_cby Jennifer Welch, Jennifer Walter.
250 _a1st ed. 2012.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2012.
300 _aIX, 93 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Distributed Computing Theory,
_x2155-1634
505 0 _aIntroduction -- Routing in a Graph: Correctness -- Routing in a Graph: Complexity -- Routing and Leader Election in a Distributed System -- Mutual Exclusion in a Distributed System -- Distributed Queueing -- Scheduling in a Graph -- Resource Allocation in a Distributed System -- Conclusion.
520 _aLink reversal is a versatile algorithm design technique that has been used in numerous distributed algorithms for a variety of problems. The common thread in these algorithms is that the distributed system is viewed as a graph, with vertices representing the computing nodes and edges representing some other feature of the system (for instance, point-to-point communication channels or a conflict relationship). Each algorithm assigns a virtual direction to the edges of the graph, producing a directed version of the original graph. As the algorithm proceeds, the virtual directions of some of the links in the graph change in order to accomplish some algorithm-specific goal. The criterion for changing link directions is based on information that is local to a node (such as the node having no outgoing links) and thus this approach scales well, a feature that is desirable for distributed algorithms. This monograph presents, in a tutorial way, a representative sampling of the work on link-reversal-based distributed algorithms. The algorithms considered solve routing, leader election, mutual exclusion, distributed queueing, scheduling, and resource allocation. The algorithms can be roughly divided into two types, those that assume a more abstract graph model of the networks, and those that take into account more realistic details of the system. In particular, these more realistic details include the communication between nodes, which may be through asynchronous message passing, and possible changes in the graph, for instance, due to movement of the nodes. We have not attempted to provide a comprehensive survey of all the literature on these topics. Instead, we have focused in depth on a smaller number of fundamental papers, whose common thread is that link reversal provides a way for nodes in the system to observe their local neighborhoods, take only local actions, and yet cause global problems to be solved. We conjecture that future interesting uses of link reversal are yetto be discovered. Table of Contents: Introduction / Routing in a Graph: Correctness / Routing in a Graph: Complexity / Routing and Leader Election in a Distributed System / Mutual Exclusion in a Distributed System / Distributed Queueing / Scheduling in a Graph / Resource Allocation in a Distributed System / Conclusion.
650 0 _aComputer science.
_99832
650 0 _aCoding theory.
_94154
650 0 _aInformation theory.
_914256
650 0 _aData structures (Computer science).
_98188
650 1 4 _aComputer Science.
_99832
650 2 4 _aCoding and Information Theory.
_980477
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aWalter, Jennifer.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980478
710 2 _aSpringerLink (Online service)
_980479
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031008788
776 0 8 _iPrinted edition:
_z9783031031342
830 0 _aSynthesis Lectures on Distributed Computing Theory,
_x2155-1634
_980480
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02006-3
912 _aZDB-2-SXSC
942 _cEBK
999 _c84967
_d84967