Comparison of Data Management Strategies for Multi-Tenant Database Cluster

The growing web of data warrants better data management strategies. Data silos are single points of failure and they face availability problems which lead to broken links. Furthermore the dynamic nature of some datasets increases the need for a versioning scheme. In this work, we propose a novel architecture for a linked open data infrastructure, built on open decentralized technologies. IPFS is used for storage and retrieval of data, and the public Ethereum blockchain is used for naming, versioning and storing metadata of datasets. We furthermore exploit two mechanisms for maintaining a collection of relevant, high-quality datasets in a distributed manner in which participants are incentivized. The platform is shown to have a low barrier to entry and censorship-resistance. It benefits from the fault-tolerance of its underlying technologies. Furthermore, we validate the approach by implementing our solution.

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Building Information Modelling (BIM) for Facility Management (FM): Industry Survey of Building Assets

Journal of Facility Management Education and Research ◽

10.22361/jfmer/112195 ◽

2019 ◽

Vol 3 (1) ◽

pp. 18-26 ◽

Cited By ~ 1

Author(s):

Brandi Williams ◽

Brian Haines ◽

Kathy Roper ◽

Eunhwa Yang

Keyword(s):

Data Management ◽

Asset Management ◽

Current Practice ◽

Management Strategies ◽

Facility Management ◽

Future Research ◽

Building Information Modelling ◽

Information Modelling ◽

Industry Standards ◽

Building Information

ABSTRACT The purpose of this paper is to discover the current methods that facility managers use to manage and track assets and identify a set of attributes for Building Information Modelling (BIM) that can improve the efficiency of the current facility management (FM) practice. A survey of over 100 facility management professionals addressed demographics such as industry sector, number of buildings managed, and use of industry standards or internally developed guidelines for data management. This information is correlated with their current asset management strategies to identify minimum sets of attributes that may be used for an FM-specific BIM. In addition, the survey asked the FM professionals their opinion on the importance of specific asset attributes and data management information that could be included in a BIM for FM. The findings of this paper indicate that there is a consensus on basic information (asset type, unique identification, manufacturer, model number, serial number) needed for asset management, and that there is no generally accepted system on how this is done in current practice. FM professionals and software providers may use the information in this paper to establish baseline sets of data to include in BIM during the design phase of projects. This paper provides insight and data as to the current practice of asset management by facility managers. Understanding the actual needs of the FM industry will assist in future research to implement BIM for FM.

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