Cloud Infrastructure Automation for Scientific Workflows

Cloud infrastructure provenance collection and management to reproduce scientific workflows execution

Future Generation Computer Systems ◽

10.1016/j.future.2017.07.015 ◽

2018 ◽

Vol 86 ◽

pp. 799-820 ◽

Cited By ~ 3

Author(s):

Khawar Hasham ◽

Kamran Munir ◽

Richard McClatchey

Keyword(s):

Scientific Workflows ◽

Cloud Infrastructure ◽

Collection And Management

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Enhancement in VPN by Implementing Cloud Infrastructure

International Journal of Innovative Research in Computer and Communication Engineering ◽

10.15680/ijircce.2016.0406009 ◽

2016 ◽

Vol 4 (6) ◽

pp. 10306-10312

Author(s):

Sneha Padhiar, Pranav Verma

Keyword(s):

Cloud Infrastructure

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Survey of Cloud Computing in Healthcare Sector

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0222 ◽

2017 ◽

Vol 7 (7) ◽

pp. 337

Author(s):

S. Karthiga Devi ◽

B. Arputhamary

Keyword(s):

Cloud Computing ◽

Healthcare Providers ◽

High Volume ◽

Healthcare Services ◽

Healthcare Sector ◽

Cloud Infrastructure ◽

Healthcare Organizations ◽

Privacy And Security ◽

Healthcare Data ◽

Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing. These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

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A Hybrid Approach for Virtual Machine Migration in Cloud Computing Environment

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i9.407 ◽

2017 ◽

Vol 7 (9) ◽

pp. 30 ◽

Cited By ~ 1

Author(s):

Ramandeep Kaur

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Heuristic Algorithms ◽

Hybrid Approach ◽

Cloud Infrastructure ◽

Virtual Machine Migration ◽

Bee Colony ◽

Effective Manner ◽

Effective Performance

A lot of research has been done in the field of cloud computing in computing domain. For its effective performance, variety of algorithms has been proposed. The role of virtualization is significant and its performance is dependent on VM Migration and allocation. More of the energy is absorbed in cloud; therefore, the utilization of numerous algorithms is required for saving energy and efficiency enhancement in the proposed work. In the proposed work, green algorithm has been considered with meta heuristic algorithms, ABC (Artificial Bee colony .Every server has to perform different or same functions. A cloud computing infrastructure can be modelled as Primary Machineas a set of physical Servers/host PM1, PM2, PM3… PMn. The resources of cloud infrastructure can be used by the virtualization technology, which allows one to create several VMs on a physical server or host and therefore, lessens the hardware amount and enhances the resource utilization. The computing resource/node in cloud is used through the virtual machine. To address this problem, data centre resources have to be managed in resource -effective manner for driving Green Cloud computing that has been proposed in this work using Virtual machine concept with ABC and Neural Network optimization algorithm. The simulations have been carried out in CLOUDSIM environment and the parameters like SLA violations, Energy consumption and VM migrations along with their comparison with existing techniques will be performed.

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