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710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/274647764/
_9106996
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008 180423s2018 gw | s |||| 0|eng d
020 _a9783319780818
024 7 _a10.1007/978-3-319-78081-8
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aHD69 .P75
_b2018 EB
100 1 _aChakravarthy, A. K.
_9673297
_d1955-
_q(Akshay Kumar),
245 1 0 _aDesign and Implementation of Practical Schedulers for M2M Uplink Networks :
_bUsing MATLAB
_cby Akshay Kumar, Ahmed Abdelhadi, T. Charles Clancy
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XI, 214 páginas)
_b26 ilustraciones, 14 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
505 0 _aChapter1: Introduction -- Chapter2: Background information -- Chapter3: Delay-Efficient Multiclass Packet Scheduler -- Chapter4: Delay-Optimal Multiclass Packet Scheduler -- Chapter5: Delay-Optimal Multitier Multiclass Packet Scheduler -- Chapter6: Conclusion and Future Work.
520 3 _aThis book presents the design of delay-efficient packet schedulers for heterogeneous M2M uplink traffic classified into several classes, based on packet delay requirements, payload size, arrival process, etc. Specifically, the authors use tools from queuing theory to determine the delay-optimal scheduling policy. The proposed packet schedulers are designed for a generic M2M architecture and thus equally applicable to any M2M application. Additionally, due to their low implementation complexity and excellent delay-performance, they authors show how they are also well-suited for practical M2M systems. The book pertains primarily to real-time process scheduler experts in industry/academia and graduate students whose research deals with designing Quality-of-Service-aware packet schedulers for M2M packet schedulers over existing and future cellular infrastructure. Presents queuing theoretic analysis and optimization techniques used to design proposed packet scheduling strategies; Provides utility functions to precisely model diverse delay requirements, which lends itself to formulation of utility-maximization problems for determining the delay- or utility-optimal packet scheduler; Includes detail on low implementation complexity of the proposed scheduler by using iterative and distributed optimization techniques.
988 _aEBSPRINGER_2018
650 7 _2embne
_9673295
_aGestión de proyectos
_vProgramas de ordenador
700 1 _aAbdelhadi, Ahmed
_eautor
_998719
700 1 _aClancy, T. Charles
_eautor
_998720
776 0 8 _iEdición impresa:
_z9783319780801
776 0 8 _iEdición impresa:
_z9783319780825
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-78081-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2020
_dz
_eu
_zSI