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oapen-20.500.12657-612962024-03-27T14:14:28Z Algorithms for Big Data Bast, Hannah Korzen, Claudius Meyer, Ulrich Penschuck, Manuel computer hardware computer networks computer programming computer science computer systems directed graphs distributed computer systems distributed systems engineering graph theory graphic methods internet mathematics microprocessor chips network protocols parallel processing systems processors signal processing telecommunication systems theoretical computer science thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate. The chapters of this volume summarize the results of projects realized within the program and survey-related work. This is an open access book. 2023-02-13T17:27:32Z 2023-02-13T17:27:32Z 2022 book ONIX_20230213_9783031215346_38 9783031215346 https://library.oapen.org/handle/20.500.12657/61296 eng Lecture Notes in Computer Science application/pdf n/a 978-3-031-21534-6.pdf https://link.springer.com/978-3-031-21534-6 Springer Nature Springer Nature Switzerland 10.1007/978-3-031-21534-6 10.1007/978-3-031-21534-6 6c6992af-b843-4f46-859c-f6e9998e40d5 dfd6127c-ab63-45e3-8573-262a1d356173 9783031215346 Springer Nature Switzerland 13201 285 Cham [...] Goethe-Universität Frankfurt am Main Goethe University Frankfurt am Main open access
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This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate. The chapters of this volume summarize the results of projects realized within the program and survey-related work. This is an open access book.
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