Computational Performance Analysis of Cluster-based Technologies for Big Data Analytics

Khan, Muhammad Shahid; Salman, -; Iqbal, Nadeem

doi:10.1109/ithings-greencom-cpscom-smartdata.2017.239

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Hadoop is an easy to use open-source tool for handling big data applications. The Hadoop MapReduce framework provides a major distributed computing platform that is capable of storing and processing large amounts of unstructured data sets (Khan and Iqbal, 2017).…”

Section: Improving the Adoption Of Digital Health Care With Internet Of Things And Big Data Technologiesmentioning

confidence: 99%

Smart healthcare

Zeadally

Siddiqui

Baig

et al. 2019

PRR

117

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Purpose -The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions.Design/methodology/approach -The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health.Findings -The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs.Originality/value -The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.

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Section: Improving the Adoption Of Digital Health Care With Internet Of Things And Big Data Technologiesmentioning

confidence: 99%

Smart healthcare

Zeadally

Siddiqui

Baig

et al. 2019

PRR

117

View full text Add to dashboard Cite

show abstract

“…NoSQL databases provide superior performance and their data model addresses several short comings of traditional relational databases. Organizations use NoSQL databases for a number of varying usage [2,3,4]. NoSQL databases are mostly open-source projects, which means a comparatively low-cost method of developing, sharing and implementing software [5,6].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Riak Key Value Cluster for Big Data

Rmis

Topcu

2020

Teh. vjesn.

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NoSQL database has become an important alternative to traditional relational databases. Those databases are prepared by the management of large, continuously and variably changing data sets. They are widely used in cloud databases and distributed systems. With NoSQL databases, static schemes and many other restrictions are avoided. In the era of big data, such databases provide scalable high availability solutions. Their key-value feature allows fast retrieval of data and the ability to store a lot of it. There are many kinds of NoSQL databases with various performances. Therefore, comparing those different types of databases in terms of performance and verifying the relationship between performance and database type has become very important. In this paper, we test and evaluate the Riak key-value database for big data clusters using benchmark tools, where huge amounts of data are stored and retrieved in different sizes in a distributed database environment. Execution times of the NoSQL database over different types of workloads and different sizes of data are compared. The results show that the Riak key-value is stable in execution time for both small and large amounts of data, and the throughput performance increases as the number of threads increases.

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