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The Research and Application of a Big Data Storage Model

Na Liu, Jianfei Zhou
2015 International Journal of Database Theory and Application  
This thesis with reference to some typical existing big data storage scheme, we presents a big data compatible with relational storage model storage scheme, this scheme can not only meet the big data storage  ...  use NoSQL to solve the problem of big data storage.  ...  data storage model and processing method.  ... 
doi:10.14257/ijdta.2015.8.4.32 fatcat:o4bqoxulpfac5h5d5zbfylf6qe

A model to compare cloud and non-cloud storage of Big Data

Victor Chang, Gary Wills
2016 Future generations computer systems  
OSM is the metric used to analyze the collected data and provided synthesis and insights to the data analysis and visualization of the two case studies.  ...  Organizational Sustainability Modeling (OSM) is used before, during and after the experiments to ensure fair comparisons are achieved.  ...  This system should demonstrate Big Data in the Cloud, having experiments on transferring data from one place to another and have the Cloud Storage capacity to offer such a set of services.  ... 
doi:10.1016/j.future.2015.10.003 fatcat:szqt56nqknhvtcvz5b74wc6vl4

A Novel Big Data Storage Reduction Model for Drill Down Search

N. Ragavan, C. Yesubai Rubavathi
2022 Computer systems science and engineering  
Some experimental results are also provided based on real data that show our storage model speed and superiority.  ...  The purpose of this manuscript is to implement a big data storage reduction binary file system model for category based drill down search engine that offers fast multilevel filtering capability.  ...  The author also demonstrated that ultra-storage density and ultra-high throughput of optical storage could meet the demands of big data storage. The authors Najafabadi et al.  ... 
doi:10.32604/csse.2022.020452 fatcat:h2wt3siuwjg6znekdbokmeauba

Hadoop Storage Big Data layer: meta-modeling of key concepts and features

Allae Erraissi, Hassan II University, Faculty of sciences Ben M'Sik, Casablanca, Morocco
2019 International Journal of Advanced Trends in Computer Science and Engineering  
The main goal of this universal meta-modeling is to enable Big Data distribution providers to offer standard and unified solutions for a Big Data system.  ...  We relied on our previous comparatives studies to define key concepts of storage in Big Data to propose a meta-model for storage layer.  ...  database Figure 10 : 10 Figure 10: Meta-package of Storage, Ingestion, and Data Sources layers Figure 11 : 11 Figure 11: Meta-model of Storage, Ingestion, and Data Sources layers  ... 
doi:10.30534/ijatcse/2019/49832019 fatcat:rcpxfa2w45hvndgrryqzgpj7bu

A Novel Big Data Storage Model for Protein-Protein Interaction and Gene-Protein Associations

M. Atif, Hira Yaseen, Javed Ferzund, Hina Farooq, Azka Mahmood
2017 International Journal of Advanced Computer Science and Applications  
For this, a novel based unified model has been designed for protein interactions data (P-P, G-G, and G-D) by using Apache HBase to evaluate given the model, different case studies have been used. 347 |  ...  Its data units contain tables, buckets, and partitions. It supports primitive and complex data types such as integers, strings, binary, arrays, maps, union, and structs.  ...  Also for sequencing and high-performance computing solutions for such a big and complex data are discussed.  ... 
doi:10.14569/ijacsa.2017.080543 fatcat:ce7qu7dtzzfmpapvlt3yuqxita

MPLEX: In-Situ Big Data Processing with Compute-Storage Multiplexing

Joy Rahman, Palden Lama
2017 2017 IEEE 25th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)  
In this work, we propose a novel approach of in-situ big data processing on cloud storage by dynamically offloading dataintensive jobs from compute cluster to storage cluster, and improve job throughput  ...  Cloud-based services are increasingly popular for big data analytics due to the flexibility, scalability, and costeffectiveness of provisioning elastic resources on-demand.  ...  Big data analytics using parallel programming paradigms such as Hadoop, Dyrad, Spark etc. largely benefit from the cloud's resource elasticity, and pay-per-usage model [16] , [21] , [28] .  ... 
doi:10.1109/mascots.2017.18 dblp:conf/mascots/RahmanL17 fatcat:4mt4dipq55b2liiglmvu2or3ye

Software-Defined Networking for Big-Data Science - Architectural Models from Campus to the WAN

I. Monga, E. Pouyoul, C. Guok
2012 2012 SC Companion: High Performance Computing, Networking Storage and Analysis  
University campuses, Supercomputer centers and R&E networks are challenged to architect, build and support IT infrastructure to deal effectively with the data deluge facing most science disciplines.  ...  and implemented successfully to meet the needs of science.  ...  ACKNOWLEDGMENT We would like to acknowledge our collaborators for the SC11 demonstration: Matrin Swany, Ezra Kissel, Ahmed Hassany and Brian Tierney, William Johnston's detailed comments and DOE ASCR network  ... 
doi:10.1109/sc.companion.2012.341 dblp:conf/sc/MongaPG12 fatcat:xecfajxhvnczlerfxprsfmdfn4

Adaptable equivalent circuit model for electrochemical storage elements as a part of energy system modeling for ZEB

Kolja Neuhaus, Corinne Alonso, Pierre-Louis Taberna
2017 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)  
and future evolutions of energy storage elements.  ...  This paper is focused on electrochemical storage elements; their modeling in order to choose the best one in term of efficiency and lifetime.  ...  When comparing the experimental data with the model data, it can be noticed that the start and end of charge are not very accurately reproduced by the model due to its simplicity, not including capacitive  ... 
doi:10.1109/uic-atc.2017.8397402 dblp:conf/uic/NeuhausAT17 fatcat:nxhmxevwhzdjdaaxcsfhj46jq4

A Multilevel Data Encryption Model to Ensure Privacy and Security of Big Data at Data Storage Level

M Mrs, Kiran Jyothi
2018 International Journal of Computer & Mathematical Sciences IJCMS   unpublished
The paper also discuss on the need of Multilevel Encryption Model for Storing Big Data that address the challenges of Data Storage Mechanisms and provides security for confidential data .  ...  Since a key point of big data is to access data from multiple and different domains, security and privacy will play an important role in big data research and technology.  ...  Big Data also presents many challenges to government and citizens. BIG DATA STORAGE Big data storage is designed to store, manage and retrieve large amounts of heterogeneous data.  ... 
fatcat:ddlbt25myvdutocupglrct4b2u

Design and Implementation of Storage System Based on Big Data

Biao Wan, G. Lee
2018 MATEC Web of Conferences  
This paper first summarizes and summarizes the problems faced by Big Data, then proposes and analyzes popular cloud storage and cloud computing for storage problems, discusses its structure and models,  ...  In the era of big data, the storage of massive data has become an important issue that enterprises need to solve.  ...  This paper studies the existing and related models of big data storage systems to meet the needs of big data processing.  ... 
doi:10.1051/matecconf/201822801012 fatcat:e7abfnj5inhlji7jo34pro5hsy

The anatomy of big data computing

Raghavendra Kune, Pramod Kumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige, Rajkumar Buyya
2015 Software, Practice & Experience  
Big data computing demands a huge storage and computing for data curation and processing that could be delivered from on-premise or clouds infrastructures.  ...  , a new paradigm that combines large-scale compute, new data-intensive techniques, and mathematical models to build data analytics.  ...  ACKNOWLEDGEMENTS We thank Rodrigo Calheiros, Nikolay Grozev, Amir Vahid, and Harshit Gupta for their comments and suggestions on improving the quality of the paper.  ... 
doi:10.1002/spe.2374 fatcat:pe57kzvunrf7blpbm7cpwliysu

The Anatomy of Big Data Computing [article]

Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige, Rajkumar Buyya
2015 arXiv   pre-print
Big Data computing demands a huge storage and computing for data curation and processing that could be delivered from on-premise or clouds infrastructures.  ...  ; a new paradigm which combines large scale compute, new data intensive techniques and mathematical models to build data analytics.  ...  Acknowledgements We thank Rodrigo Calheiros, Nikolay Grozev, Amir Vahid, and Harshit Gupta for their comments and suggestions on improving the quality of paper.  ... 
arXiv:1509.01331v1 fatcat:vqea74fgk5h5jpapwaaplvhuda

Big Data Storage Tools Using NoSQL Databases and Their Applications in Various Domains: A Systematic Review

Amen Faridoon, Muhammad Imran
2021 Computing and informatics  
We also perform comparison between relational database systems and NoSQL big data storage models and this is shown in Table 5.  ...  The main objective of this survey is to refocus, probe and analyze the futuristic NoSQL big data storage models.  ... 
doi:10.31577/cai_2021_3_489 fatcat:mh6jl6vtznf5zmayq6l3yxaaga

Futuristic Correlation of Big Data & Cloud Computing in the New Millennium

null Shallu
2018 International Journal of Wireless Communications and Mobile Computing  
It recommends a period for big data, and a model that illustrates the relationship between big data and cloud computing.  ...  The cloud is an online storage space model where data is stored on multiple virtual servers. Big data processing represents a new face up to in computing, particularly in cloud computing.  ...  Cloud computing and big data go together, as big data is concerned with storage capacity in the cloud system, cloud computing uses massive computing and storage resources.  ... 
doi:10.11648/j.wcmc.20180603.11 fatcat:3xys3vmcqnafhkyp2xyqsthr4u

On Designing a Generic Framework for Cloud-based Big Data Analytics [article]

Samiya Khan, Mansaf Alam
2017 arXiv   pre-print
This research paper proposes a five-layer model for cloud-based big data analytics that uses dew computing and edge computing concepts.  ...  Besides this, the paper also presents an approach for creation of custom big data stack by selecting technologies on the basis of identified data and computing models for the application  ...  BIG DATA LIFECYCLE The big data lifecycle is composed of four main phases namely, data acquisition, storage, processing and visualization [14] .  ... 
arXiv:1711.04628v1 fatcat:kvajmdxrevg6rksxdgs4jg6uvq
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