Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture

Arslan, Muhammad; Riaz, Zainab; Munawar, Saba

doi:10.23919/picmet.2017.8125462

Cited by 22 publications

(16 citation statements)

References 24 publications

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“…Considering the combination of big data and BIM, Arslan et al [20] developed a prototype system using Hadoop for data storage and processing. The results of processing BIM and sensor data in a Hadoop architecture have demonstrated that the system can effectively provide data visualizations to facility managers.…”

Section: Related Workmentioning

confidence: 99%

bcBIM: A Blockchain‐Based Big Data Model for BIM Modification Audit and Provenance in Mobile Cloud

Zheng

Jiang

Hao

et al. 2019

Mathematical Problems in Engineering

121

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Building Information Modeling (BIM) is envisioned as an indispensable opportunity in the architecture, engineering, and construction (AEC) industries as a revolutionary technology and process. Smart construction relies on BIM for manipulating information flow, data flow, and management flow. Currently, BIM model has been explored mainly for information construction and utilization, but rare works pay efforts to information security, e.g., critical model audit and sensitive model exposure. Moreover, few BIM systems are proposed to chase after upcoming computing paradigms, such as mobile cloud computing, big data, blockchain, and Internet of Things. In this paper, we make the first attempt to propose a novel BIM system model called bcBIM to tackle information security in mobile cloud architectures. More specifically, bcBIM is proposed to facilitate BIM data audit for historical modifications by blockchain in mobile cloud with big data sharing. The proposed bcBIM model can guide the architecture design for further BIM information management system, especially for integrating BIM cloud as a service for further big data sharing. We propose a method of BIM data organization based on blockchains and discuss it based on private and public blockchain. It guarantees to trace, authenticate, and prevent tampering with BIM historical data. At the same time, it can generate a unified format to support future open sharing, data audit, and data provenance.

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Section: Related Workmentioning

confidence: 99%

bcBIM: A Blockchain‐Based Big Data Model for BIM Modification Audit and Provenance in Mobile Cloud

Zheng

Jiang

Hao

et al. 2019

Mathematical Problems in Engineering

121

View full text Add to dashboard Cite

show abstract

“…The saving mechanism force the income data to occupy 80% of the block size as the rest of the data block is used for metadata purposes. Hadoop has a good data availability technique that's every file in the cluster must has three replicas distributed in some other datanode in order to keep the file accessible even if the Datanode somehow goes down [4,14,15].…”

Section: Hadoop Architecturementioning

confidence: 99%

“…In the past, big data producing and storing was limited on the high-profile companies and organizations such as the old yahoo, IBM, Amazon…etc [1]. These companies used to generate customers tracking files, logs, receipts and up to photo, videos on the top of their business, but since the smartphones revolution era, IoT (internet of things) [2], online availability and high internet connection, big data production being massively and rapidly out of control which made a need of a tool that can absorbs all of these data in order to regulate and insight them, is hadoop [3][4][5]. Big data known as a massive amount of data that's cannot be processing with the standard data management techniques [6], Big data characteristics stands on 5V's are: a.…”

Section: Introductionmentioning

confidence: 99%

Available techniques in hadoop small file issue

Masadeh

Azmi

Ahmad

2020

IJECE

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Hadoop is an optimal solution for big data processing and storing since being released in the late of 2006, hadoop data processing stands on master-slaves manner [1] that’s splits the large file job into several small files in order to process them separately, this technique was adopted instead of pushing one large file into a costly super machine to insights some useful information. Hadoop runs very good with large file of big data, but when it comes to big data in small files it could facing some problems in performance, processing slow down, data access delay, high latency and up to a completely cluster shutting down [2]. In this paper we will high light on one of hadoop’s limitations, that’s affects the data processing performance, one of these limits called “big data in small files” accrued when a massive number of small files pushed into a hadoop cluster which will rides the cluster to shut down totally. This paper also high light on some native and proposed solutions for big data in small files, how do they work to reduce the negative effects on hadoop cluster, and add extra performance on storing and accessing mechanism.

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“…They adopted a cognitive building concept and then applied it to the icon building at the University of Cagliari Campus called "Mandolesi Pavilion". Arslan et al [22] developed a prototype system using Hadoop for data storage and processing. The results of processing BIM and sensor data in a Hadoop architecture demonstrate that the system can effectively provide data visualizations to facility managers.…”

Section: Related Workmentioning

confidence: 99%

CaACBIM: A Context-aware Access Control Model for BIM

et al. 2019

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A building information model (BIM) is of upmost importance with a full life-time cycle in architecture engineering and construction industry. Smart construction relies on BIM to manipulate information flow, data flow, and management flow. Currently, BIM has been explored mainly for information construction and utilization, but there exist few works concerning information security, e.g., audits of critical models and exposure of sensitive models. Moreover, few BIM systems have been proposed to make use of new computing paradigms, such as mobile cloud computing, blockchain and Internet of Things. In this paper, we propose a Context-aware Access Control (CaAC) model for BIM systems on mobile cloud architectures. BIM data can be confidentially accessed according to contexts in a fine-grained manner. We describe functions of CaAC formally by illustrating location-aware access control and time-aware access control. CaAC model can outperform role-based access control for preventing BIM data leakage by distinguishing contexts. In addition, grouping algorithms are also presented for flexibility, in which basic model (user grouping based on user role permissions) and advanced model (user grouping based on user requests) are differentiated. Compared with the traditional role-based access control model, security and feasibility of CaAC are remarkably improved by distinguishing an identical role with multiple contexts. The average efficiency is improved by 2 n / ( 2 n - p - q ) , and time complexity is O ( n ) .

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Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture

Cited by 22 publications

References 24 publications

bcBIM: A Blockchain‐Based Big Data Model for BIM Modification Audit and Provenance in Mobile Cloud

bcBIM: A Blockchain‐Based Big Data Model for BIM Modification Audit and Provenance in Mobile Cloud

Available techniques in hadoop small file issue

CaACBIM: A Context-aware Access Control Model for BIM

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