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001 978-3-030-02411-6
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008 181220s2019 sz | s |||| 0|eng d
020 _a9783030024116
_9978-3-030-02411-6
024 7 _a10.1007/978-3-030-02411-6
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aMahmoodi, Seyed Eman.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939222
245 1 0 _aSpectrum-Aware Mobile Computing
_h[electronic resource] :
_bConvergence of Cloud Computing and Cognitive Networking /
_cby Seyed Eman Mahmoodi, Koduvayur Subbalakshmi, R. N. Uma.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIX, 109 p. 49 illus., 27 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4870
505 0 _aChapter 1. Introduction -- Chapter 2. Classification of Mobile Cloud Offloading -- Chapter 3. Joint Scheduling and Cloud Offloading using Single Radio -- Chapter 4. Cognitive Cloud Offloading using Multiple Radios -- Chapter 5. Optimal Cognitive Scheduling and Cloud Offloading using Multi Radios -- Chapter 6. Time-Adaptive and Cognitive Cloud Offloading using Multiple Radios -- Chapter 7. Evaluation of Cloud Offloading and Scheduling Mechanisms in Different Scenarios -- Chapter 8. The Future: Spectrum Aware Cloud Offloading.
520 _aThis book presents solutions to the problems arising in two trends in mobile computing and their intersection: increased mobile traffic driven mainly by sophisticated smart phone applications; and the issue of user demand for lighter phones, which cause more battery power constrained handhelds to offload computations to resource intensive clouds (the second trend exacerbating the bandwidth crunch often experienced over wireless networks). The authors posit a new solution called spectrum aware cognitive mobile computing, which uses dynamic spectrum access and management concepts from wireless networking to offer overall optimized computation offloading and scheduling solutions that achieve optimal trade-offs between the mobile device and wireless resources. They show how in order to allow these competing goals to meet in the middle, and to meet the promise of 5G mobile computing, it is essential to consider mobile offloading holistically, from end to end and use the power of multi-radio access technologies that have been recently developed. Technologies covered in this book have applications to mobile computing, edge computing, fog computing, vehicular communications, mobile healthcare, mobile application developments such as augmented reality, and virtual reality. Gives readers valuable insights into the future of mobile computing and communication; Touches on wireless technologies such as 5G, mobile edge computing (MEC), mobile cloud services, and cognition-based networking; Provides examples throughout the book to provide insight into real world scenarios.
650 0 _aTelecommunication.
_910437
650 0 _aComputer networks .
_931572
650 0 _aQuantitative research.
_94633
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Communication Networks.
_939223
650 2 4 _aData Analysis and Big Data.
_939224
700 1 _aSubbalakshmi, Koduvayur.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939225
700 1 _aUma, R. N.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_939226
710 2 _aSpringerLink (Online service)
_939227
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030024109
776 0 8 _iPrinted edition:
_z9783030024123
830 0 _aSignals and Communication Technology,
_x1860-4870
_939228
856 4 0 _uhttps://doi.org/10.1007/978-3-030-02411-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76514
_d76514