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UID:364@lincs.fr
DTSTART;TZID=Europe/Paris:20180214T140000
DTEND;TZID=Europe/Paris:20180214T150000
DTSTAMP:20180215T114840Z
URL:https://www.lincs.fr/events/network-slicing-games-enabling-statistical
 -multiplexing-of-multi-tenant-spatial-loads/
SUMMARY:Network Slicing Games: Enabling Statistical Multiplexing of
 Multi-tenant Spatial Loads
DESCRIPTION:Next generation wireless architectures are expected to enable
 slices of shared wireless infrastructure which are customized to specific
 mobile operators/services. Given infrastructure costs and the stochastic
 nature of mobile services' spatial loads\, it is highly desirable to
 achieve efficient statistical multiplexing amongst network slices. This
 talk will introduce a simple dynamic resource sharing policy which
 allocates a `share' of a pool of (distributed) resources to each slice--
 Share Constrained Proportionally Fair (SCPF). We give a characterization of
 the achievable performance gains over static slicing\, showing higher gains
 when a slice's spatial load is more 'imbalanced' than\, and/or 'orthogonal'
 to\, the aggregate network load. Under SCPF\, traditional network
 dimensioning translates to a coupled share dimensioning problem\,
 addressing the existence of a feasible share allocation given slices'
 expected loads and performance requirements. We provide a solution to
 robust share dimensioning for SCPF-based network slicing. Slices may wish
 to unilaterally manage their users' performance via admission control which
 maximizes their carried loads subject to performance requirements. We show
 this can be modeled as a ``traffic shaping" game with an achievable Nash
 equilibrium. Under high loads the equilibrium is explicitly characterized\,
 as are the gains in the carried load under SCPF vs. static slicing.
 Detailed simulations of a wireless infrastructure supporting multiple
 slices with heterogeneous mobile loads show the fidelity of our models and
 range of validity of our high load equilibrium analysis.\n\nJoint work with
 Pablo Caballero\, Jiaxiao Zheng\, Albert Banchs\, Xavier Costa\, Seung Jun
 Baek
CATEGORIES:Seminars,Youtube
LOCATION:LINCS Seminars room\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.828400;2.356897
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 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS Seminars
 room:geo:48.828400,2.356897
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TZID:Europe/Paris
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DTSTART:20171029T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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