Bridging RDBMS and NoSQL to build a high-performance and scalable storage engine for building information systems

At the present stage of the development of the construction industry, based on the principles of sustainable development, special attention should be paid to the formation of construction waste. Reserves for improving the level of efficiency of waste management can be found in the application of modern information technologies and their adaptation to resource-saving problems. The use of information systems is advisable at all stages of the life cycle of a building. Today, the technology of building information modeling (BIM) is actively developing, which can significantly reduce the amount of waste generation in construction. This is possible with its implementation at the design stage, in order to avoid irrational design decisions, collisions, etc. Information systems for data transmission allow rapid exchange of information between project participants, promptly warn about changes in space-planning decisions, materials, structures and equipment. At the stage of operation, in the presence of the information model of the building, it is possible to create a planning system for the organization of works of major overhaul or reconstruction. This article also proposes a description of the functions that an information system must have aimed at coordinating the management of construction waste in the region.

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Using XML schemas to structure information models of capital construction facilities

Vestnik MGSU ◽

10.22227/1997-0935.2020.11.1570-1583 ◽

2020 ◽

pp. 1570-1583

Author(s):

Sergey A. Volkov ◽

Tatiana V. Khripko

Keyword(s):

Information System ◽

Life Cycle ◽

Information Systems ◽

Management Information System ◽

Information Model ◽

Management Information ◽

State Information ◽

Building Information ◽

Capital Construction ◽

Urban Planning Management

Introduction. Building Information Modeling (BIM) is an auspicious approach that supports management and exchange of semantically rich 3D models across design disciplines. Recently, BIM has gained widespread acceptance in the AEC industry, and it improves the efficiency and quality of the process by facilitating the early exchange of 3D building models. At different stages of the life cycle, a building information model is gradually refined from rough conceptual design to detailed individual components. The task is to develop mechanisms for machine verification (authentication) of data transmitted to/from different systems (for example, from a customer to an expert evaluation authority, from a contractor to the urban planning management information system or any other state information system) in the form of an information model of capital construction facilities or certain components of an information model. Materials and methods. To substantiate the choice of the language employed to describe machine-readable documents, various use cases of XML schemas were analyzed, including the use of the Google Trends tool. Information systems, implemented in the Russian Federation, were also considered. Most of them use the W3C XML Schema language to describe XSD schemas. Results. A consolidated list of XML schemas, necessary and sufficient to maintain stages of the life cycle of a capital construction facility in terms of interaction with the Urban Planning Management Information System is presented. To ensure interaction between the life cycle participants and state information systems, it is necessary to have the list of XML schemas approved at the federal level. The paper presents matrixes of scenarios for the application of XML schemas in the following coordinates: participants, life cycle stages. Conclusions. XML schemas can be supplemented in respect of various stages of a life cycle of a capital construction faci-lity to be verified with due regard for further methodological approaches and changes in regulatory and technical acts; new approaches and the need for this supplementation must be substantiated.

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Geographic information systems applications on an ATM-based distributed high performance computing system

High-Performance Computing and Networking - Lecture Notes in Computer Science ◽

10.1007/bfb0031697 ◽

1997 ◽

pp. 1035-1037 ◽

Cited By ~ 11

Author(s):

K. A. Hawick ◽

H. A. James ◽

K. J. Maciunas ◽

F. A. Vaughan ◽

A. L. Wendelborn ◽

...

Keyword(s):

Information Systems ◽

Geographic Information Systems ◽

High Performance Computing ◽

High Performance ◽

Computing System ◽

Geographic Information ◽

High Performance Computing System ◽

Performance Computing

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Enterprise Architecture for Accounting and Finance Transformation: Using Strategy Maps to Develop High-Performance Finance

Journal of Emerging Technologies in Accounting ◽

10.2308/jeta-2020-007 ◽

2020 ◽

Author(s):

Daniel E. O'Leary

Keyword(s):

Information Systems ◽

High Performance ◽

Enterprise Architecture ◽

Financial Information ◽

Limited Attention ◽

Strategy Formulation ◽

Accounting Information Systems ◽

Strategy Maps ◽

Strategy Map ◽

Finance Function

Although enterprise architecture is evolving into a multiple billion-dollar business, it has received limited attention in the accounting information systems literatureRecently, The Hartford implemented a unique and robust approach that used Kaplan and Norton’s well known “strategy maps” as part of the enterprise architecture process to transform the finance department and embed strategy into accounting and finance. The Hartford developed a strategy map and used that map as the basis of enterprise architecture integration. The process generated a creative future state that included a linear flow of information that mirrored the information life cycle, while providing a “single source of truth” archive for financial information in order to redesign the finance function to attain “high performance finance.” In so doing, the paper investigates a unique approach, an “innovative practice,” that allows grounding accounting and financial information systems in an organization’s strategy formulation process.

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A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Managing Big Data in Cloud Computing Environments ◽

10.4018/978-1-4666-9834-5.ch002 ◽

2016 ◽

pp. 25-45 ◽

Cited By ~ 2

Author(s):

Ahmet Artu Yıldırım ◽

Dan Watson

Keyword(s):

High Performance ◽

Storage Systems ◽

Storage System ◽

Large Data ◽

Web Browsers ◽

Cloud Infrastructure ◽

Scalable Storage ◽

Distributed Object ◽

Object Storage ◽

Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, It's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

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