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UID:67@lincs.fr
DTSTART;TZID=Europe/Paris:20160127T140000
DTEND;TZID=Europe/Paris:20160127T160000
DTSTAMP:20170313T170936Z
URL:https://www.lincs.fr/events/model-graft-accurate-scalable-and-flexible
 -analysis-of-cache-networks/
SUMMARY:Model-Graft: Accurate\, Scalable and Flexible Analysis of Cache
 Networks
DESCRIPTION:Large scale deployments of general cache networks\, such as
 Content Delivery Networks or Information Centric Networking architectures\,
 arise new challenges regarding their performance prediction and network
 planning. Analytical models and MonteCarlo approaches are already available
 to the scientific community. However\, complex interactions between
 replacement\, replication\, and routing on arbitrary topologies make these
 approaches hardly configurable. Additionally\, huge content catalogs and
 large networks sizes add non trivial scalability problems\, making their
 solution computationally demanding. We propose a new technique for the
 performance evaluation of large scale caching systems that intelligently
 integrates elements of stochastic analysis within a MonteCarlo approach.
 Our method leverages the intuition that the behavior of realistic networks
 of caches\, being them LRU or even more complex caches\, can be well
 represented by means of much simpler Time-To-Live (TTL)- based caches. This
 TTL can be either set with the guidance of a simple yet accurate stochastic
 model (e.g.\, the characteristic time of the Che approximation)\, or can be
 provided as very rough guesses\, that are iteratively corrected by a
 feedback loop to ensure convergence. Through a thorough validation
 campaign\, we show that the synergy between modeling and MonteCarlo
 approaches has noticeable potentials both in accurately predicting steady
 state performance metrics within 2% accuracy\, while significantly scaling
 down simulation time and memory requirements of large scale scenarios by to
 two orders of magnitude. Furthermore\, we demonstrate the flexibility and
 efficiency of our hybrid approach in simplifying fine-grained analyses of
 dynamic scenarios.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
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DTSTART:20151025T020000
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