TY - GEN
T1 - Resource brokerage ontology for vendor-independent Cloud Service management
AU - Karim, Behzad
AU - Tan, Qing
AU - Villar, José R.
AU - De La Cal, Enrique
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - Cloud software deployment, resource provisioning, monitoring and full cycle maintenance has proven to be time-consuming and complicated. While one cloud provider is good at one or a few services, other providers might be good at other services. Cloud users eventually want to consume most advantageous resources across multiple providers with the best price while avoiding vendor lock-in. Cloud users also need to safeguard their most valuable digital asset, their data, against cloud outage, which can happen to any vendor. This could mean using the same type of resources across multiple cloud providers. Moreover, cloud providers are continuously changing and evolving their services. Cloud users can only take advantage of these changes if they are able to relocate and real-locate resources using an autonomous and vendor independent tool. We propose a vendor-independent cloud provisioning tool that utilizes an ontology-based semantic reasoning to acquire the best feasible cloud resources for cloud users. In this paper, we outline an ontology subset for purchasing cloud resources or services based on price, user transaction volume, preference, quality of service and Service Layer Agreements (SLA). The proposed ontology is outlined in a case scenario followed by an applied algorithm for negotiating resource purchase between cloud consumer client and cloud vendor provisioning services. Such ontology can be used in inter-cloud federation API for monitoring and acquiring and maintaining the most advantageous cloud resources.
AB - Cloud software deployment, resource provisioning, monitoring and full cycle maintenance has proven to be time-consuming and complicated. While one cloud provider is good at one or a few services, other providers might be good at other services. Cloud users eventually want to consume most advantageous resources across multiple providers with the best price while avoiding vendor lock-in. Cloud users also need to safeguard their most valuable digital asset, their data, against cloud outage, which can happen to any vendor. This could mean using the same type of resources across multiple cloud providers. Moreover, cloud providers are continuously changing and evolving their services. Cloud users can only take advantage of these changes if they are able to relocate and real-locate resources using an autonomous and vendor independent tool. We propose a vendor-independent cloud provisioning tool that utilizes an ontology-based semantic reasoning to acquire the best feasible cloud resources for cloud users. In this paper, we outline an ontology subset for purchasing cloud resources or services based on price, user transaction volume, preference, quality of service and Service Layer Agreements (SLA). The proposed ontology is outlined in a case scenario followed by an applied algorithm for negotiating resource purchase between cloud consumer client and cloud vendor provisioning services. Such ontology can be used in inter-cloud federation API for monitoring and acquiring and maintaining the most advantageous cloud resources.
KW - cloud resource brokerage
KW - monitoring cloud provider performance
KW - multi-vendor cloud resource provisioning ontology
KW - semantic reasoning for resource provisioning
UR - http://www.scopus.com/inward/record.url?scp=85024399509&partnerID=8YFLogxK
U2 - 10.1109/ICCCBDA.2017.7951959
DO - 10.1109/ICCCBDA.2017.7951959
M3 - Published Conference contribution
AN - SCOPUS:85024399509
T3 - 2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017
SP - 466
EP - 472
BT - 2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017
T2 - 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017
Y2 - 28 April 2017 through 30 April 2017
ER -