In distributed storage for Big Data systems, there is a need for exact repair, high bandwidth codes. The challenge for exact repair in big-data storage is to simultaneously enable both very high bandwidth repair using Map-Reduce and simple coding schemes that also combine robust maximally distance separable (MDS) exact repair. MDS repair is for the rare, but exceptional outlier error patterns requiring optimum erasure code reconstruction. We construct the optimum fast bandwidth repair for big-data sources. Our system uses Map-Reduce, exact repair reconstruction. The algorithm combines MDS with a second fast decode algorithm in a cloud environment. We illustrate cloud experiments for optimum fast bandwidth reconstruction for 1-Exabyte Big Data in the cloud and demonstrate cloud results for Poisson error rate arrival models. Unlike prior methods, we jointly solve the problem of fast bandwidth repair for burst-memory error patterns and for code rates up to in a real time error model framework for Big Data. Furthermore, simulations indicate this method outperforms prior fast bandwidth approaches for burst errors. We also illustrate Map-Reduce algorithm optimized for fast bandwidth repair in Big Data storage in clouds.
This paper introduces an efficient machine-to-machine (M2M) communication model based on 4G cellular systems. M2M terminals are capable of establishing Ad Hoc clusters wherever they are close enough. It is also possible to extend the cellular coverage for M2M terminals through multi-hop Ad Hoc connections. The M2M terminal structure is proposed accordingly to meet the mass production and security requirements. The security becomes more critical in Ad Hoc mode as new nodes attach to the cluster. A simplified protocol stack is considered here, while key components are introduced to provide secure communications between M2M and the network and also amongst M2M terminals.
This paper introduces an efficient machine-to-machine (M2M) communication model based on 4G cellular systems. M2M terminals are capable of establishing Ad Hoc clusters wherever they are close enough. It is also possible to extend the cellular coverage for M2M terminals through multi-hop Ad Hoc connections. The M2M terminal structure is proposed accordingly to meet the mass production and security requirements. The security becomes more critical in Ad Hoc mode as new nodes attach to the cluster. A simplified protocol stack is considered here, while key components are introduced to provide secure communications between M2M and the network and also amongst M2M terminals.
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