A carregar...
Publicação
A geographical-aware state deployment service for fog computing
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 6.76 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Today’s distributed mobile applications assume a permanent network connectivity to
mediate the interactions between a large number of users, coordinated by resourceful
servers located in Cloud datacenters. This centralization simplifies application state management,
but creates a non-negligible physical distance between the application state and
the users. As this distance extend for possibly thousands of kilometers, users are exposed
to high latency and uncertain response times (jitter), due to propagation time and the competition
for the available bandwidth on backbone networks. Fog Computing proposes to
overcome this problem by approximating the Cloud from the users with the deployment of
surrogate servers, providing computing power and memory to manage application state,
at the edge of the network. A judicious distribution of application state fragments by
surrogates gives to Fog Computing the potential to mitigate latency and reduce load in
the backbone networks. However, to achieve it, two problems that could not be found
in the centralized cloud approach must be addressed. Firstly, the geo-aware state deployment
(GeoSD) problem focuses on being able to deploy each of the application state
fragmented components on the surrogate at the most favourable location. The deployment
algorithm must consider that, even within a simple application, state components do
not behave equally. Secondly, the distributed environment problem is concerned with
providing state consistency, in particular when operations involve application state components
stored on two or more surrogates. Maintaining consistency is crucial to guarantee
global application logic. This problem is further aggravated by the fact that surrogates are
also susceptible to crash or suffer network partitions. This thesis presents an adaptive
geographical-aware state deployment middleware that aggregates a geo-aware state deployment
algorithm with a scalable distributed environment framework that supports data
consistency and replication.
Descrição
Palavras-chave
Distributed mobile applications Fog computing Geographical state deployment Consistency Lightweight groups Aplicações móveis distribuídas Computação na neblina Disposição geográfica de dados Coerência Grupos leves