Data location aware scheduling for virtual Hadoop cluster deployment on private cloud computing environment

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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Research on data location method under the cloud computing environment

Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics ◽

10.2991/icecee-15.2015.208 ◽

2015 ◽

Cited By ~ 1

Author(s):

Qiang Zhu

Keyword(s):

Cloud Computing ◽

Computing Environment ◽

Cloud Computing Environment ◽

Location Method ◽

Data Location

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The Needs of Virtual Machines Implementation in Private Cloud Computing Environment

ComTech Computer Mathematics and Engineering Applications ◽

10.21512/comtech.v6i4.2181 ◽

2015 ◽

Vol 6 (4) ◽

pp. 525

Author(s):

Edy Kristianto

Keyword(s):

Cloud Computing ◽

Information And Communication Technology ◽

Communication Technology ◽

Virtual Machines ◽

Computing Environment ◽

Infrastructure As A Service ◽

Cloud Computing Environment ◽

Information And Communication ◽

Private Cloud Computing ◽

The Internet Of Things

The Internet of Things (IOT) becomes the purpose of the development of information and communication technology. Cloud computing has a very important role in supporting the IOT, because cloud computing allows to provide services in the form of infrastructure (IaaS), platform (PaaS), and Software (SaaS) for its users. One of the fundamental services is infrastructure as a service (IaaS). This study analyzed the requirement that there must be based on a framework of NIST to realize infrastructure as a service in the form of a virtual machine to be built in a cloud computing environment.

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Hybrid Intrusion Detection System for Private Cloud & Public Cloud

Oriental journal of computer science and technology ◽

10.13005/ojcst/10.02.26 ◽

2017 ◽

Vol 10 (2) ◽

pp. 438-445

Author(s):

Riddhi Gaur ◽

Uma Kumari

Keyword(s):

Cloud Computing ◽

Intrusion Detection ◽

Data Storage ◽

Intrusion Detection System ◽

Detection System ◽

User Authentication ◽

Computing Environment ◽

Private Cloud ◽

Cloud Computing Environment ◽

Detection Techniques

Internet based applications and data storage services can be easily acquired by the end users by the permission of Cloud computing. Providing security to the cloud computing environment has become important issue with the increased demand of cloud computing. Other than the traditional security methods, additional methods like control access, confidentiality, firewalls and user authentication are required in order to provide security to the cloud computing environment. One of the needful components in terms of cloud security is Intrusion Detection System (IDS). To detect various attacks on cloud, Intrusion Detection System (IDS) is the most commonly used mechanism. This paper discusses about the intrusion detection and different intrusion detection techniques namely anomaly based techniques and signature based techniques.

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