An Efficient Storage Model of Tree-Like Structure in MongoDB

Author(s):  
Jiaqi Yao
Author(s):  
Randhir Kumar ◽  
Rakesh Tripathi

The future applications of blockchain are expected to serve millions of users. To provide variety of services to the users, using underlying technology has to consider large-scale storage and assessment behind the scene. Most of the current applications of blockchain are working either on simulators or via small blockchain network. However, the storage issue in the real world is unpredictable. To address the issue of large-scale data storage, the authors have introduced the data storage scheme in blockchain (DSSB). The storage model executes behind the blockchain ledger to store large-scale data. In DSSB, they have used hybrid storage model using IPFS and MongoDB(NoSQL) in order to provide efficient storage for large-scale data in blockchain. In this storage model, they have maintained the content-addressed hash of the transactions on blockchain network to ensure provenance. In DSSB, they are storing the original data (large-scale data) into MongoDB and IPFS. The DSSB model not only provides efficient storage of large-scale data but also provides storage size reduction of blockchain ledger.


2018 ◽  
Vol 64 (2) ◽  
pp. 301-317 ◽  
Author(s):  
Ke Wang ◽  
Guolin Liu ◽  
Min Zhai ◽  
Zhiwei Wang ◽  
Chuanyi Zhou

Author(s):  
Seung-Hyun Jung ◽  
Tae-Sung Jung ◽  
Tae-Kyung Kim ◽  
Kyoung-Ran Kim ◽  
Jae-Soo Yoo ◽  
...  

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  

The development of energy storage systems allows us to consider their usage for load profile leveling during operational planning on electricity markets. The paper proposes and analyses an application of an energy storage model to the electricity market in Russia with the focus on the day ahead market. We consider bidding, energy storage constraints for an optimal power flow problem, and locational marginal pricing. We show that the largest effect for the market and for the energy storage system would be gained by integration of the energy storage model into the market’s optimization models. The proposed theory has been tested on the optimal power flow model of the day ahead market in Russia of 10000-node Unified Energy System. It is shown that energy storage systems are in demand with a wide range of efficiencies and cycle costs.


2019 ◽  
Vol 4 (2) ◽  
pp. 207-220
Author(s):  
김기수 ◽  
Yukun Hahm ◽  
장유림 ◽  
Jaejin Yi ◽  
HONGHOI KIM

2010 ◽  
Vol 30 (4) ◽  
pp. 868-871
Author(s):  
Hong ZHAO ◽  
Silamu Woxur ◽  
Zheng-liang YAO ◽  
Lei YIN
Keyword(s):  

2002 ◽  
Author(s):  
David V. Oliver ◽  
Roy V. Ladner ◽  
Frank P. McCreedy ◽  
Ruth A. Wilson

1997 ◽  
Vol 36 (8-9) ◽  
pp. 57-63 ◽  
Author(s):  
Homayoun Motiee ◽  
Bernard Chocat ◽  
Olivier Blanpain

This paper presents a model for the hydraulic simulation of a drainage network using the storage concept. This model is easier to use than the complete Barre de Saint Venant equations and gives better results than the usual conceptual models, i.e. the Muskingum model, or than models obtained by the simplification of the Saint Venant equations (kinematic wave model and diffusion wave model).


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