An efficient method for mobile big data transfer over HetNet in emerging 5G systems
| Autor: | Alagan Anpalagan, Glaucio H. S. Carvalho, Isaac Woungang, Richa Siddavaatam |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Wireless network Computer science Big data 020302 automobile design & engineering 020206 networking & telecommunications Cloud computing 02 engineering and technology Mobile cloud computing 0203 mechanical engineering User equipment 0202 electrical engineering electronic engineering information engineering Wireless business 5G Heterogeneous network Computer network |
| Zdroj: | CAMAD |
| DOI: | 10.1109/camad.2016.7790331 |
| Popis: | Recently, mobile cloud computing (MCC) has arisen as a promising technology to augment the user equipment (UE)' capabilities in emerging 5G systems by wirelessly transferring the computation-burden from it to the resource-rich cloud computing centers. In this setting, the massive data transfer over a standalone wireless network becomes a challenging task due to the expected increased latency over the wireless channels associated with the remote cloud data centers. This paper proposes an efficient data transfer method for mobile big data along with a data correction technique to cope with the problem of failure to retrieve the data chunks in the cloud. The proposed algorithm exploits the overlapping feature of heterogeneous wireless networks (HetNets) to expedite the mobile big data transfer between the UE and the cloud by splitting the data into a number of smaller chunks which are transmitted simultaneously over the wireless links. Simulation results are provided, showing that our proposed method outperforms the baseline data storage method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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