Hadoop Applications in Bioinformatics

Li, Xubin; Wenrui, Jiang; Jiang, Yi; Zou, Quan

doi:10.1109/ocs.2012.40

Cited by 9 publications

(3 citation statements)

References 33 publications

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“…Big data provides an infrastructure for maintaining transparency in manufacturing industry, which has been having the ability to unreveal uncertainties that exists in the component performance and availability. Another application of the big data is the field of bioinformatics [9] which requires large scale data analysis.…”

Section: A Big Data Applicationsmentioning

confidence: 99%

Use of Big Data in the Cloud Computing

Sanchita N,

Ashwini V

2023

IJRASET

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Cloud computing is a powerful technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Massive growth in the scale of data or big data generated through cloud computing has been observed. Addressing big data is a challenging and time-demanding task that requires a large computational infrastructure to ensure successful data processing and analysis. The rise of big data in cloud computing is reviewed in this study. The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The relationship between big data and cloud computing, big data storage systems, and Hadoop technology are also discussed. Furthermore, research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance. Lastly, open research issues that require substantial research efforts are summarized. This paper introduces several big data processing techniques from system and application aspects here provide an organized picture of challenges that are focused by the application developers and DBMS designers in developing cum deployment of the internet scale applications. Then we see about the security issues in the cloud computing along with the big data and Hadoop. We show some possible solutions for the issues of the cloud computing and Hadoop.

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Section: A Big Data Applicationsmentioning

confidence: 99%

Use of Big Data in the Cloud Computing

Sanchita N,

Ashwini V

2023

IJRASET

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“…Cloud Computing is a type of Internet-based computing where different services such as server, storage and applications are delivered to an organization's computers and devices through the Internet [11]. 5G services provide the opportunity to work and play in the cloud thus taking advantage of cloud computing technologies with the help of eMBB, uRLLC and mMTC.…”

Section: B Work and Play In The Cloudmentioning

confidence: 99%

5G Enabled Technologies for Smart Education

Dake¹,

Adjei²

2019

IJACSA

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5G technology use cases depicts the prospects of 5G network model to revolutionize Industry and Education is not an exception. The 5G model in general is made up of three main blocks: Enhanced Mobile Broadband, Massive Machine Type Communication and Ultra Reliable and Low Latency Communication. Within these blocks are the services 5G offers to users. In this paper, we focus on Educational users as beneficiaries of 5G technologies. The modern day Educational Institutions can benefit from the deployment of 5G-enabled services adapted to this sector. We proposed frameworks relating 5G and its disruptive technologies in advancing tools that will propel the idea of a Smart Educational System. This paper hence provides a comprehensive discussion on 5G technologies that will facilitate new teaching and learning trends in Educational environment.

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“…At the beginning, over 135 bioinformatics tools have been deployed and configured on the VM. Li et al [ 16 ] presented Hadoop-based applications employed in bioinformatics, covering next-generation sequencing and other biological domains. They described how to obtain an increase in performance by utilizing Hadoop on a cloud computing service and explored different alignment tools and applications that perform sequence alignment.…”

Section: Related Workmentioning

confidence: 99%

G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS

Liu

Jiang

et al. 2015

Computational and Mathematical Methods in Medicine

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Cloud computing has started to change the way how bioinformatics research is being carried out. Researchers who have taken advantage of this technology can process larger amounts of data and speed up scientific discovery. The variability in data volume results in variable computing requirements. Therefore, bioinformatics researchers are pursuing more reliable and efficient methods for conducting sequencing analyses. This paper proposes an automated resource provisioning method, G2LC, for bioinformatics applications in IaaS. It enables application to output the results in a real time manner. Its main purpose is to guarantee applications performance, while improving resource utilization. Real sequence searching data of BLAST is used to evaluate the effectiveness of G2LC. Experimental results show that G2LC guarantees the application performance, while resource is saved up to 20.14%.

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Hadoop Applications in Bioinformatics

Cited by 9 publications

References 33 publications

Use of Big Data in the Cloud Computing

Use of Big Data in the Cloud Computing

5G Enabled Technologies for Smart Education

G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS

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