Concerns and Challenges of Cloud Platforms for Bioinformatics

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch040 ◽

2018 ◽

pp. 455-464

Author(s):

Nicoletta Dessì ◽

Barbara Pes

Keyword(s):

Cloud Computing ◽

Biomedical Applications ◽

Large Datasets ◽

Added Value ◽

Biomedical Data ◽

Computational Approaches ◽

Cloud Technology ◽

Service Components ◽

Basic Features

Bioinformatics traditionally concerns applying computational approaches for the management and the exploitation of large volumes of biomedical data that continues to expand in size and in distribution. Although the application of cloud computing in biomedical areas is still preliminary, an increasing number of biomedical applications rely on the Cloud for processing large datasets. This chapter aims investigating the extent to which cloud technology offers a viable platform for developing and deploying applications that support users in searching and integrating information offered by bioinformatics resources. The chapter outlines the basic features that such computing applications should exhibit and the challenging issues they deal with. The architecture and the functionality of the cloud-based environments are presented to stress how cloud platforms could offer added-value service components and flexibility that make their adoption attractive for bioinformatics.

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Concerns and Challenges of Cloud Platforms for Bioinformatics

Advanced Methodologies and Technologies in Medicine and Healthcare - Advances in Medical Diagnosis, Treatment, and Care ◽

10.4018/978-1-5225-7489-7.ch004 ◽

2019 ◽

pp. 45-55

Author(s):

Nicoletta Dessì ◽

Barbara Pes

Keyword(s):

Cloud Computing ◽

Biomedical Applications ◽

Large Datasets ◽

Added Value ◽

Biomedical Data ◽

Computational Approaches ◽

Cloud Technology ◽

Service Components ◽

Basic Features

Bioinformatics traditionally concerns applying computational approaches for the management and the exploitation of large volumes of biomedical data that continues to expand in size and in distribution. Although the application of cloud computing in biomedical areas is still preliminary, an increasing number of biomedical applications rely on the Cloud for processing large datasets. This chapter investigates the extent to which cloud technology offers a viable platform for developing and deploying applications that support users in searching and integrating information offered by bioinformatics resources. The chapter outlines the basic features that such computing applications should exhibit and the challenging issues they deal with. The architecture and the functionality of the cloud-based environments are presented to stress how cloud platforms could offer added-value service components and flexibility that make their adoption attractive for bioinformatics.

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Cloud Computing Considerations for Biomedical Applications

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology ◽

10.1109/hisb.2012.67 ◽

2012 ◽

Cited By ~ 4

Author(s):

Richard Rauscher

Keyword(s):

Cloud Computing ◽

Biomedical Applications

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From Residues to Added-Value Bacterial Biopolymers as Nanomaterials for Biomedical Applications

Nanomaterials ◽

10.3390/nano11061492 ◽

2021 ◽

Vol 11 (6) ◽

pp. 1492

Author(s):

Francisco G. Blanco ◽

Natalia Hernández ◽

Virginia Rivero-Buceta ◽

Beatriz Maestro ◽

Jesús M. Sanz ◽

...

Keyword(s):

Biomedical Applications ◽

Carbon Sources ◽

Structural Diversity ◽

Added Value ◽

Nanoscale Systems ◽

Chemical Structures ◽

Wide Range ◽

Peptide Functionalization ◽

Metabolic Strategies ◽

Drug Nanocarriers

Bacterial biopolymers are naturally occurring materials comprising a wide range of molecules with diverse chemical structures that can be produced from renewable sources following the principles of the circular economy. Over the last decades, they have gained substantial interest in the biomedical field as drug nanocarriers, implantable material coatings, and tissue-regeneration scaffolds or membranes due to their inherent biocompatibility, biodegradability into nonhazardous disintegration products, and their mechanical properties, which are similar to those of human tissues. The present review focuses upon three technologically advanced bacterial biopolymers, namely, bacterial cellulose (BC), polyhydroxyalkanoates (PHA), and γ-polyglutamic acid (PGA), as models of different carbon-backbone structures (polysaccharides, polyesters, and polyamides) produced by bacteria that are suitable for biomedical applications in nanoscale systems. This selection models evidence of the wide versatility of microorganisms to generate biopolymers by diverse metabolic strategies. We highlight the suitability for applied sustainable bioprocesses for the production of BC, PHA, and PGA based on renewable carbon sources and the singularity of each process driven by bacterial machinery. The inherent properties of each polymer can be fine-tuned by means of chemical and biotechnological approaches, such as metabolic engineering and peptide functionalization, to further expand their structural diversity and their applicability as nanomaterials in biomedicine.

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Application of cloud technology in digital cultural heritage: an analysis of public culture cloud platforms in China

Digital Library Perspectives ◽

10.1108/dlp-04-2021-0033 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Dengdeng Wanyan ◽

Tong Shang

Keyword(s):

Cloud Computing ◽

Cultural Heritage ◽

Public Culture ◽

Cultural Construction ◽

Service Development ◽

Cloud Technology ◽

Content Type ◽

Digital Cultural Heritage ◽

Depth Analysis ◽

Technology Applications

Purpose The purpose of this paper is to investigate the significant advantages of cloud technology in digital cultural heritage construction by analyzing public culture cloud platforms in China. The authors hope to provide references for other countries and regions on the applications of cloud computing techniques in digital cultural construction. Design/methodology/approach The primary research methods involved interview and case analysis. A comprehensive understanding of cloud technology and China’s culture cloud platforms were gained through research into extensive amounts of literature. Analyzing 21 culture cloud platforms offers a general understanding of culture clouds, while the Hunan Public Culture Cloud acts as a representative sample that gives detailed insight. Findings This paper explores the considerable advantages of cloud computing in digital cultural construction from four aspects: integration of decentralized heterogeneous resources, coordination and cooperation, accurately matching user needs and promotion of balanced service development. Originality/value Existing studies fall short of comprehensive investigations of culture cloud platforms and in-depth analysis of the advantages of cloud technology applications. This paper uses the construction of public culture cloud platforms in China as the research object. Further, this paper compares the construction status of different culture cloud platforms.

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Cloud Computing Strategy and Impact in Banking/Financial Services

10.5121/csit.2021.111704 ◽

2021 ◽

Author(s):

Prudhvi Parne

Keyword(s):

Cloud Computing ◽

Financial Services ◽

New Technologies ◽

Credit Unions ◽

History Of Computing ◽

Cloud Technology ◽

The Past ◽

Business Agility ◽

History Of ◽

Trustworthy Service

With recent advances in technology, internet has drastically changed the computing world from the concept of parallel computing to distributed computing to grid computing and now to cloud computing. The evolution of cloud computing over the past few years is potentially one of the major advances in the history of computing. Unfortunately, many banks are still hesitant to adopt cloud technology. New technologies such as cloud and AI will have the biggest impacts on the banking industry. For banks and credit unions wanting to achieve greater business agility, cloud technology enables organizations to respond instantly to changing market conditions, leveraging data and applied analytics to achieve customer experience and operational productivity benefits. As a result, cloud computing comes in to provide a solution to such challenges making banking a reliable and trustworthy service. This paper aims at cloud computing strategy, impact in banking and financial institutions and discusses the significant reliance of cloud computing.

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A University of Greenwich Case Study of Cloud Computing

Cloud Technology ◽

10.4018/978-1-4666-6539-2.ch053 ◽

2015 ◽

pp. 1140-1161 ◽

Cited By ~ 2

Author(s):

Victor Chang ◽

Gary Wills

Keyword(s):

Cloud Computing ◽

Supply Chain ◽

Business Model ◽

Business Models ◽

The Other ◽

Added Value ◽

It Services ◽

Success Criteria ◽

The University

This chapter proposes a new Supply Chain Business Model in the Education domain and demonstrates how Education as a Service (EaaS) can be delivered. The implementation at the University of Greenwich (UoG) is used as a case study. Cloud computing business models are classified into eight Business Models; this classification is essential to the development of EaaS. A pair of the Hexagon Models are used to review Cloud projects against success criteria; one Hexagon Model focuses on Business Model and the other on IT Services. The UoG case study demonstrates the added value offered by Supply Chain software deployed by private Cloud, where an Oracle suite and SAP supply chain can demonstrate supply chain distribution and is useful for teaching. The evaluation shows that students feel more motivated and can understand their coursework better.

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Intuitive Web-Based Experimental Design for High-Throughput Biomedical Data

BioMed Research International ◽

10.1155/2015/958302 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Andreas Friedrich ◽

Erhan Kenar ◽

Oliver Kohlbacher ◽

Sven Nahnsen

Keyword(s):

Big Data ◽

Experimental Design ◽

High Throughput ◽

Large Scale ◽

Integrated Design ◽

Added Value ◽

Biomedical Data ◽

Data Generation ◽

Web Based ◽

Data Annotation

Big data bioinformatics aims at drawing biological conclusions from huge and complex biological datasets. Added value from the analysis of big data, however, is only possible if the data is accompanied by accurate metadata annotation. Particularly in high-throughput experiments intelligent approaches are needed to keep track of the experimental design, including the conditions that are studied as well as information that might be interesting for failure analysis or further experiments in the future. In addition to the management of this information, means for an integrated design and interfaces for structured data annotation are urgently needed by researchers. Here, we propose a factor-based experimental design approach that enables scientists to easily create large-scale experiments with the help of a web-based system. We present a novel implementation of a web-based interface allowing the collection of arbitrary metadata. To exchange and edit information we provide a spreadsheet-based, humanly readable format. Subsequently, sample sheets with identifiers and metainformation for data generation facilities can be created. Data files created after measurement of the samples can be uploaded to a datastore, where they are automatically linked to the previously created experimental design model.

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Parallel MapReduce: Maximizing Cloud Resource Utilization and Performance Improvement Using Parallel Execution Strategies

BioMed Research International ◽

10.1155/2018/7501042 ◽

2018 ◽

Vol 2018 ◽

pp. 1-17

Author(s):

Ahmed Abdulhakim Al-Absi ◽

Najeeb Abbas Al-Sammarraie ◽

Wael Mohamed Shaher Yafooz ◽

Dae-Ki Kang

Keyword(s):

Cloud Computing ◽

Performance Improvement ◽

Biomedical Applications ◽

Large Data ◽

Cost Effective ◽

Parallel Execution ◽

Computing Platform ◽

Execution Strategy ◽

Large Data Analysis ◽

Cloud Resources

MapReduce is the preferred cloud computing framework used in large data analysis and application processing. MapReduce frameworks currently in place suffer performance degradation due to the adoption of sequential processing approaches with little modification and thus exhibit underutilization of cloud resources. To overcome this drawback and reduce costs, we introduce a Parallel MapReduce (PMR) framework in this paper. We design a novel parallel execution strategy of Map and Reduce worker nodes. Our strategy enables further performance improvement and efficient utilization of cloud resources execution of Map and Reduce functions to utilize multicore environments available with computing nodes. We explain in detail makespan modeling and working principle of the PMR framework in the paper. Performance of PMR is compared with Hadoop through experiments considering three biomedical applications. Experiments conducted for BLAST, CAP3, and DeepBind biomedical applications report makespan time reduction of 38.92%, 18.00%, and 34.62% considering the PMR framework against Hadoop framework. Experiments' results prove that the PMR cloud computing platform proposed is robust, cost-effective, and scalable, which sufficiently supports diverse applications on public and private cloud platforms. Consequently, overall presentation and results indicate that there is good matching between theoretical makespan modeling presented and experimental values investigated.

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