Integrating High Performance File Systems in a Cloud Computing Environment

The authors present the development of a scientific cloud computing environment (SCCE) for engineering and business simulations that offers high performance computation capability. The software platform consists of a scalable pool of virtual machines running a UNIX-like (Linux) or UNIX-derivative (FreeBSD) operating systems using specialised software based on modelling engineering processes and focused on business training and predictive analytics using simulations. The use of advanced engineering simulation technology allows engineers to understand and predict the future performance of complex structures and systems designs which can be optimized to reduce risk, improve performance or enhance survivability. A key component of cloud computing in Universities as well as in other research centers: they can share computing resources beyond their technical capabilities. With cloud computing, this allows them all to have access to large scales processing power based on KVM (Kernel based Virtual Machine). Our solution provides a more productive approach: a full scale virtualised computer with scalable storage space and instantly upgradable processing capability. It has more flexibility than other network computing systems and saves precious research time and money. Unlike the existing systems, the scientific community can receive support from a large number of specialists who may contribute by in a collaborative way.

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THE FEASIBILITY STUDY OF RUNNING HPC WORKLOADS ON COMPUTATIONAL CLOUDS

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10s1.20507 ◽

2017 ◽

Vol 10 (13) ◽

pp. 445

Author(s):

Purvi Pathak ◽

Kumar R

Keyword(s):

Cloud Computing ◽

Parallel Computing ◽

High Performance ◽

Cloud Environment ◽

Computing Environment ◽

Private Cloud ◽

Computing Systems ◽

Cloud Computing Environment ◽

Pros And Cons ◽

Performance Computing

High-performance computing (HPC) applications require high-end computing systems, but not all scientists have access to such powerful systems. Cloud computing provides an opportunity to run these applications on the cloud without the requirement of investing in high-end parallel computing systems. We can analyze the performance of the HPC applications on private as well as public clouds. The performance of the workload on the cloud can be calculated using different benchmarking tools such as NAS parallel benchmarking and Rally. The workloads of HPC applications require use of many parallel computing systems to be run on a physical setup, but this facility is available on cloud computing environment without the need of investing in physical machines. We aim to analyze the ability of the cloud to perform well when running HPC workloads. We shall get the detailed performance of the cloud when running these applications on a private cloud and find the pros and cons of running HPC workloads on cloud environment.

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Programming Technologies for High Performance Remote Sensing Data Processing in a Cloud Computing Environment

Cloud Computing in Remote Sensing ◽

10.1201/9780429488764-5 ◽

2019 ◽

pp. 89-120

Author(s):

Lizhe Wang ◽

Jining Yan ◽

Yan Ma

Keyword(s):

Remote Sensing ◽

Cloud Computing ◽

Data Processing ◽

High Performance ◽

Remote Sensing Data ◽

Computing Environment ◽

Cloud Computing Environment ◽

Sensing Data

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A High Performance Computing Cloud Computing Environment for Machining Simulations

Procedia CIRP ◽

10.1016/j.procir.2013.06.065 ◽

2013 ◽

Vol 8 ◽

pp. 57-62 ◽

Cited By ~ 2

Author(s):

X. Man ◽

S. Usui ◽

S. Jayanti ◽

L. Teo ◽

T.D. Marusich

Keyword(s):

Cloud Computing ◽

High Performance Computing ◽

High Performance ◽

Computing Environment ◽

Cloud Computing Environment ◽

Performance Computing

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Application Performance Analysis of Distributed File Systems under Cloud Computing Environment

2015 2nd International Conference on Information Science and Control Engineering ◽

10.1109/icisce.2015.41 ◽

2015 ◽

Author(s):

Tiezhu Zhao ◽

Zusheng Zhang ◽

Xin Ao

Keyword(s):

Cloud Computing ◽

Performance Analysis ◽

File Systems ◽

Distributed File Systems ◽

Computing Environment ◽

Application Performance ◽

Cloud Computing Environment

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Data Access Control in the Cloud Computing Environment for Bioinformatics

International Journal of Applied Research in Bioinformatics ◽

10.4018/ijarb.2021010105 ◽

2021 ◽

Vol 11 (1) ◽

pp. 40-50

Author(s):

Suyel Namasudra

Keyword(s):

Cloud Computing ◽

Access Control ◽

High Performance ◽

Data Access ◽

Critical Issue ◽

Biological Data ◽

Computing Environment ◽

Cloud Computing Environment ◽

Advantages And Disadvantages ◽

Data Access Control

Bioinformatics is a branch of science that applies computational science in the biological world. In bioinformatics, large sizes of biological data (genome) are processed in the cloud computing platform. Due to the advantages of cloud computing, such as reduced cost scalability, high performance, unlimited storage and many more, the applications of cloud computing in bioinformatics are increasing exponentially. However, cloud computing has some disadvantages like security, privacy, transferability, etc. Among all these problems, access control is a critical issue in the cloud computing environment. The main objective of this paper is to present many access control models along with their advantages and disadvantages. Moreover, some of the popular cloud-based bioinformatics applications are also introduced for the benefit of researchers.

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