scholarly journals NoSQL Database Performance Benchmarking - A Case Study

2018 ◽  
Vol 63 (1) ◽  
pp. 80-93
Author(s):  
C.F. Andor ◽  
◽  
B. Parv ◽  
Keyword(s):  
Performance Benchmarking ◽  
Database Performance ◽  
Nosql Database

scholarly journals Using Latency Metrics in NoSQL Database Performance Benchmarking

2019 ◽  
Vol 64 (1) ◽  
pp. 39-50
Author(s):  
C.-F. Andor ◽  
◽  
B. Pârv ◽  
D.M. Suciu ◽  
◽  
...  
Keyword(s):  
Performance Benchmarking ◽  
Database Performance ◽  
Nosql Database

Performance Benchmarking for NoSQL Database Management Systems

2021 ◽  
Vol 66 (1) ◽  
pp. 23
Author(s):  
C.-F. Andor
Keyword(s):  
Database Management ◽  
Database Management Systems ◽  
Database Management System ◽  
Management Systems ◽  
Performance Study ◽  
Actual Performance ◽  
Performance Benchmarking ◽  
Database Performance ◽  
Nosql Database ◽  
The Right

NoSQL database management systems are very diverse and are known to evolve very fast. With so many NoSQL database options available nowadays, it is getting harder to make the right choice for certain use cases. Also, even for a given NoSQL database management system, performance may vary significantly between versions. Database performance benchmarking shows the actual performance for different scenarios on different hardware configurations in a straightforward and precise manner. This paper presents a NoSQL database performance study in which two of the most popular NoSQL database management systems (MongoDB and Apache Cassandra) are compared, and the analyzed metric is throughput. Results show that Apache Cassandra outperformes MongoDB in an update heavy scenario only when the number of operations is high. Also, for a read intensive scenario, Apache Cassandra outperformes MongoDB only when both number of operations and degree of parallelism are high.

scholarly journals Performance assessment of alternative SSS networks by combining KPIs and factor-cluster analysis

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Patrizia Serra ◽  
Gianfranco Fancello
Keyword(s):  
Cluster Analysis ◽  
Performance Assessment ◽  
Decision Support Tool ◽  
Transport Systems ◽  
Quantitative Methodology ◽  
Support Tool ◽  
Performance Benchmarking ◽  
Relevant Variables ◽  
Quantitative Results

Abstract Performance assessment is a fundamental tool to successfully monitor and manage logistics and transport systems. In the field of Short Sea Shipping (SSS), the performance of the various maritime initiatives should be analyzed to assess the best way to achieve efficiency and guide related policies. This study proposes a quantitative methodology which can serve as a decision-support tool in the preliminary assessment and comparison of alternative SSS networks. The research is executed via a Mediterranean case study that compares a hypothetical Mediterranean ro-ro SSS network developed in the framework of a past Euro-Mediterranean cooperation project with the network of existing ro-ro liner services operating in the area. Performance benchmarking of the two networks is performed using a set of quantitative Key Performance Indicators (KPIs) and applying a factor-cluster analysis to produce homogeneous clusters of services based on the relevant variables while accounting for sample heterogeneity. Quantitative results mostly confirm the overall better performance of the prospective network and demonstrate that using KPIs and factor-cluster analysis to investigate the performance of maritime networks can provide policymakers with a preliminary wealth of knowledge that can help in setting targeted policy for SSS-oriented initiatives.

scholarly journals Performance benchmarking of hypervisors- A Case Study

2017 ◽  
Vol 10 (44) ◽  
pp. 1-11 ◽  
Author(s):  
Shivananda R. Poojara ◽  
N. V. Dharwadkar ◽  
Vishal Ghule ◽  
◽  
◽  
...  
Keyword(s):  
Performance Benchmarking

scholarly journals Performance Benchmarking of Key-Value Store NoSQL Databases

2018 ◽  
Vol 8 (6) ◽  
pp. 5333
Author(s):  
Omoruyi Osemwegie ◽  
Kennedy Okokpujie ◽  
Nsikan Nkordeh ◽  
Charles Ndujiuba ◽  
Samuel John ◽  
...  
Keyword(s):  
Data Storage ◽  
Web Applications ◽  
Query Language ◽  
Research Work ◽  
Database Systems ◽  
Nosql Databases ◽  
Performance Benchmarking ◽  
Nosql Database ◽  
Structured Query Language ◽  
Web Developers

<p>Increasing requirements for scalability and elasticity of data storage for web applications has made Not Structured Query Language NoSQL databases more invaluable to web developers. One of such NoSQL Database solutions is Redis. A budding alternative to Redis database is the SSDB database, which is also a key-value store but is disk-based. The aim of this research work is to benchmark both databases (Redis and SSDB) using the Yahoo Cloud Serving Benchmark (YCSB). YCSB is a platform that has been used to compare and benchmark similar NoSQL database systems. Both databases were given variable workloads to identify the throughput of all given operations. The results obtained shows that SSDB gives a better throughput for majority of operations to Redis’s performance.</p>

A Virtual Supply Chain Architecture to Grant Product Transparency in Agribusiness

2017 ◽  
pp. 20-38
Author(s):  
Giulia Bruno
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Relevant Literature ◽  
Information Services ◽  
Food Sector ◽  
Chain Architecture ◽  
Electronic Product ◽  
Nosql Database ◽  
Available Information

Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who are more and more oriented to chose products basing on quality and traceability attributes rather than the price. Recently, the Electronic Product Code Information Services (EPCIS) standard was introduced to provide specifications for the representation of product traceability information. The collection and analysis of such information allows supply chains to be monitored and controlled through virtualization. Several applications of EPCIS were presented in literature, even if most of them are mainly focused on enabling technologies, with less emphasis on assessing how the available information can be used for a control at a higher level. This chapter review the relevant literature available on this topic, and present an architecture allowing the traceability of information about products throughout the entire supply chain by exploiting both the EPCIS standard and a NoSQL database. An application showing the potentiality of the proposed system in a case study is also reported.

PORTFOLIO PERFORMANCE BENCHMARKING WITH DATA ENVELOPMENT ANALYSIS

2013 ◽  
Vol 30 (05) ◽  
pp. 1350011 ◽  
Author(s):  
PHILIP Y. L. WONG ◽  
STEPHEN C. H. LEUNG ◽  
JOHN D. GILLEARD
Keyword(s):  
Data Envelopment Analysis ◽  
Facility Management ◽  
Future Research ◽  
Portfolio Performance ◽  
Analysis Tool ◽  
Data Envelopment ◽  
Performance Improvements ◽  
Hard Data ◽  
Performance Benchmarking

This paper proposes data envelopment analysis (DEA) as a suitable data analysis tool to overcome facility management (FM) benchmarking difficulties: FM performance benchmarking analysis is often unsophisticated, relying heavily on simple statistical representation, linking hard cost data with soft customer satisfaction data is often problematic. A case study is presented to show that DEA can provide FM personnel with an objective view on performance improvements. An objective of the case study is to investigate the relative efficiency of nine facilities with the same goals and to determine the most efficient facility. The case is limited to nine buildings in FM on four inputs and nine output criteria. The paper concludes by demonstrating that DEA-generated improvement targets can be applied when formulating FM outsourcing policies, strategies and improvements. Facility manager can apply DEA-generated improvement targets in formulating FM outsourcing policies, specifications development, FM strategy and planning. FM benchmarking with DEA can enhance continuous improvement in service efficiency and cost saving. This will help reduce utility cost as well as pollution. This paper fills the gap in the research of FM benchmarking by applying DEA which studies both soft and hard data simultaneously. It also contributes to a future research of a trade-off sensitivity test between FM cost, services performance and reliability.

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