Quantifiable Security Metrics for Large Scale Heterogeneous Systems

2006 ◽  
Author(s):  
Syed Naqvi ◽  
Michel Riguidel
Keyword(s):  
Large Scale ◽  
Heterogeneous Systems ◽  
Security Metrics

Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems

2021 ◽  
Vol 32 (9) ◽  
pp. 2367-2380
Author(s):  
Guangming Tan ◽  
Chaoyang Shui ◽  
Yinshan Wang ◽  
Xianzhi Yu ◽  
Yujin Yan
Keyword(s):  
Large Scale ◽  
Heterogeneous Systems

Designing Heterogeneous Systems: Large Scale Architectural Exploration Via Simulation : Invited Paper

2021 ◽  
Author(s):  
Darel Emmot ◽  
Ryan Menhusen ◽  
Daniel Dauwe ◽  
Vipin Kumar Kukkala ◽  
Kirk Bresniker
Keyword(s):  
Large Scale ◽  
Heterogeneous Systems ◽  
Architectural Exploration

Design and Implementation of Dynamic Web Services Publishing Software Based on CXF

2014 ◽  
Vol 989-994 ◽  
pp. 4350-4354
Author(s):  
Chun Shan ◽  
Lu Xia Wu ◽  
Yang Yang ◽  
Jing Feng Xue
Keyword(s):  
Web Services ◽  
Web Service ◽  
Large Scale ◽  
Heterogeneous Systems ◽  
Enterprise Application Integration ◽  
Service Development ◽  
Enterprise Application ◽  
Dynamic Web ◽  
Real Time Information ◽  
Military Enterprise

Communication between heterogeneous systems is difficult to be achieved without affecting the existing systems in Enterprise Application Integration. A kind of dynamic web services publishing software based on CXF is proposed in this paper. The purpose of this software are twofold. Firstly, it encapsulates specified data called by other systems into web service published dynamically which unifies customization among heterogeneous systems. Secondly, the function of service monitoring provided allows users to get the real-time information of published web services. The proposal software has been deployed in a Chinese large-scale military enterprise. Practice in the enterprise shows that the software can simplify web service development, quickly build a web service which encapsulates large amounts of data, and achieve information sharing within the enterprise environment.

scholarly journals A brokering framework for large-scale heterogeneous systems

2006 ◽  
Author(s):  
Xin Bai ◽  
L. Boloni ◽  
D.C. Marinescu ◽  
H.J. Siegel ◽  
R.A. Daley ◽  
...  
Keyword(s):  
Large Scale ◽  
Heterogeneous Systems

scholarly journals Developing HL7 CDA-Based Data Warehouse for the Use of Electronic Health Record Data for Secondary Purposes

ACI Open ◽  
2019 ◽  
Vol 03 (01) ◽  
pp. e44-e62
Author(s):  
Fabrizio Pecoraro ◽  
Daniela Luzi ◽  
Fabrizio L. Ricci
Keyword(s):  
Conceptual Framework ◽  
Data Warehouse ◽  
Large Scale ◽  
Heterogeneous Systems ◽  
Target Population ◽  
Electronic Health Record Data ◽  
Health Level 7 ◽  
Electronic Health ◽  
Unique Source ◽  
Definition Of

Background The growing availability of clinical and administrative data collected in electronic health records (EHRs) have led researchers and policy makers to implement data warehouses to improve the reuse of EHR data for secondary purposes. This approach can take advantages from a unique source of information that collects data from providers across multiple organizations. Moreover, the development of a data warehouse benefits from the standards adopted to exchange data provided by heterogeneous systems. Objective This article aims to design and implement a conceptual framework that semiautomatically extracts information collected in Health Level 7 Clinical Document Architecture (CDA) documents stored in an EHR and transforms them to be loaded in a target data warehouse. Results The solution adopted in this article supports the integration of the EHR as an operational data store in a data warehouse infrastructure. Moreover, data structure of EHR clinical documents and the data warehouse modeling schemas are analyzed to define a semiautomatic framework that maps the primitives of the CDA with the concepts of the dimensional model. The case study successfully tests this approach. Conclusion The proposed solution guarantees data quality using structured documents already integrated in a large-scale infrastructure, with a timely updated information flow. It ensures data integrity and consistency and has the advantage to be based on a sample size that covers a broad target population. Moreover, the use of CDAs simplifies the definition of extract, transform, and load tools through the adoption of a conceptual framework that load the information stored in the CDA in the data warehouse.

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