International Journal of Distributed and Cloud Computing

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Automation of Discovery and Aggregation of Cloud Services


Affiliations
1 Department of Computer Science and Engineering, KLE DR MSS College of Engineering and Technology, Belaeavi, Karnataka, India
 

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Cloud computing is a technology where IT-related resources are dynamically provided "as a service" to the customers through Internet. The customer can demand for the services dynamically from Cloud Service Provider (CSP)s, take them on lease based on Service Level Agreement (SLA), release the resources after completion of task and pay for what is used. The required services may not be available from a single CSP. There are many CSPs providing multiple services with different Quality of Service (QoS). The customer has to discover the available services with the expected QoS which is one of the major challenges to be solved in cloud computing today. In this paper we dynamically create a repository of the cloud services and aggregate them whenever there is a demand for service and then derive that the services obtained from the repository are time efficient as compared to direct service discovery.

Keywords

Repository, Aggregation.
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Abstract Views: 330

PDF Views: 184




  • Automation of Discovery and Aggregation of Cloud Services

Abstract Views: 330  |  PDF Views: 184

Authors

Sreedevi R. Nagarmunoli
Department of Computer Science and Engineering, KLE DR MSS College of Engineering and Technology, Belaeavi, Karnataka, India
Nandini S. Sidnal
Department of Computer Science and Engineering, KLE DR MSS College of Engineering and Technology, Belaeavi, Karnataka, India

Abstract


Cloud computing is a technology where IT-related resources are dynamically provided "as a service" to the customers through Internet. The customer can demand for the services dynamically from Cloud Service Provider (CSP)s, take them on lease based on Service Level Agreement (SLA), release the resources after completion of task and pay for what is used. The required services may not be available from a single CSP. There are many CSPs providing multiple services with different Quality of Service (QoS). The customer has to discover the available services with the expected QoS which is one of the major challenges to be solved in cloud computing today. In this paper we dynamically create a repository of the cloud services and aggregate them whenever there is a demand for service and then derive that the services obtained from the repository are time efficient as compared to direct service discovery.

Keywords


Repository, Aggregation.

References