A Semantically Rich Framework to Automate Cloud Service Level Agreements

With the advancement of Cloud computing, the adoption of cloud service in various industries is fast increasing. This is evident in the healthcare domain where the adoption is on the rise recently. However, the research contribution in this domain has been limited to certain functions. While cloud can increase availability, reachability of services, it is critical to design the healthcare service before provisioning. Besides, it is important to formulate Service Level Agreements (SLAs) to ensure that consumers can get guaranteed service from the service provider. The objective of this paper is to design the cloud based smart services for patient diagnostics. This research specifically defines service architecture for patients, physicians and diagnostic centers. In order to measure the proposed services, metrics of each SLA parameter is described with its functional and non-functional requirements. This paper also explains a case study implementation of a basic patient service using Google App Engine.

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Cloud Service Level Agreements – Issues and Development

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) ◽

10.1109/icngcis.2017.18 ◽

2017 ◽

Cited By ~ 1

Author(s):

Isaac Odun-Ayo ◽

Olasupo Ajayi ◽

Nicholas Omoregbe

Keyword(s):

Cloud Service ◽

Service Level ◽

Service Level Agreements

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The Estimation of Risk on Cloud Computing Framework

Regular Issue - International Journal of Innovative Science and Modern Engineering ◽

10.35940/ijisme.d1188.016420 ◽

2020 ◽

Vol 6 (4) ◽

pp. 5-10

Keyword(s):

Cloud Computing ◽

Service Providers ◽

Cloud Service ◽

Service Level ◽

Service Level Agreements ◽

Risk Models ◽

Design And Implementation ◽

Related Service ◽

Computing Framework

The Cloud Service which is provided generates access to the present resources by service level agreements (SLA) which is formal , and they require proper balanced infrastructures in order to maximize the quality of service (QoS). They try to minimize and provide offer to the count of violations that are offered by the Service Level Agreements. The paper emphasizes on a proper or area of risk assessment which is specific to the applications related to cloud computing. The methods which are present within a framework that is to be used by service providers related to cloud and consumers related service in order to provide assessment of risk in case of deployment of service and the related operation. The paper also puts emphasis on the different stages which are involved in the lifecycle of services where assessment of risk takes place. This leads in the design and implementation of risk models which are in correspondence. The risk puts an impact on the architectural components providing special emphasis on management which is holistic to provide support at operation of services has been described. The assessor which is related to risk has been proven to be effective by various evaluation provided through the experiments and its implementation which needs to be integrated in a toolkit environment provided by cloud computing

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The Determination of Jurisdiction in Grid and Cloud Service Level Agreements

Lecture Notes in Computer Science - Grid Economics and Business Models ◽

10.1007/978-3-642-03864-8_10 ◽

2009 ◽

pp. 128-139 ◽

Cited By ~ 3

Author(s):

Davide Maria Parrilli

Keyword(s):

Cloud Service ◽

Service Level ◽

Service Level Agreements

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Service Level Agreements for Smart Healthcare in Cloud

International Journal of Grid and High Performance Computing ◽

10.4018/ijghpc.2017100104 ◽

2017 ◽

Vol 9 (4) ◽

pp. 57-70

Author(s):

Mridul Paul ◽

Ajanta Das

Keyword(s):

Cloud Service ◽

Service Level ◽

Service Level Agreements ◽

Functional Requirements ◽

Service Architecture ◽

Smart Healthcare ◽

Study Implementation ◽

Guaranteed Service ◽

Patient Service

With the advancement of Cloud computing, the adoption of cloud service in various industries is fast increasing. This is evident in the healthcare domain where the adoption is on the rise recently. However, the research contribution in this domain has been limited to certain functions. While cloud can increase availability, reachability of services, it is critical to design the healthcare service before provisioning. Besides, it is important to formulate Service Level Agreements (SLAs) to ensure that consumers can get guaranteed service from the service provider. The objective of this paper is to design the cloud based smart services for patient diagnostics. This research specifically defines service architecture for patients, physicians and diagnostic centers. In order to measure the proposed services, metrics of each SLA parameter is described with its functional and non-functional requirements. This paper also explains a case study implementation of a basic patient service using Google App Engine.

Download Full-text