Title | ||
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Big Data Processing With Minimal Delay and Guaranteed Data Resolution in Disaster Areas |
Abstract | ||
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Big data analysis is very important to support rescue activities when natural disaster happens, through understanding various situations, such as power/water outage regions. The traditional way to process big data is based on high-performance computation/storage resources in a cloud center. However, this is hard to be guaranteed in a disaster scenario due to destruction of communication infrastructure. Meanwhile, high latency between local sensing devices and cloud center sets a big obstacle enabling a near real-time big data analysis. On the other hand, movable base station, such as vehicle-based movable & deployable ICT resource unit (MDRU) developed by NTT, is a possible solution to reconstruct an emergency communication network and process data at the edge sites with reduced data transmission time. In this paper, we study the optimal overall delay in a fog/edge-computing platform constructed by vehicle-based MDRUs with guaranteed data resolution. We formalize the problem as a mixed-integer nonlinear program, which is a well-known NP-hard problem, and then relax the original problem to an mixed integer linear programing (MILP). Finally, we propose a two-stage heuristic algorithm to solve it in a time-efficient manner. Through evaluation, the effectiveness of the proposed heuristic approach has been validated in terms of minimizing overall delay with sufficient given data resolutions. |
Year | DOI | Venue |
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2019 | 10.1109/TVT.2018.2889094 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Big Data,Cloud computing,Delays,Communication networks,Image resolution,Satellites | Base station,Obstacle,Heuristic,Telecommunications network,Computer science,Heuristic (computer science),Computer network,Real-time computing,Linear programming,Big data,Cloud computing | Journal |
Volume | Issue | ISSN |
68 | 4 | 0018-9545 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junbo Wang | 1 | 35 | 3.07 |
Koichi Sato | 2 | 124 | 13.87 |
Song Guo | 3 | 3431 | 278.71 |
Wuhui Chen | 4 | 307 | 34.07 |
Jie Wu | 5 | 8307 | 592.07 |