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SLA-Based Service Selection for Multi-Cloud Environments

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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SLA-Based Service Selection for Multi-Cloud Environments. / Taha, A.; Manzoor, S.; Suri, Neeraj; A.M., Goscinski (Editor); M., Luo (Editor).

2017 IEEE International Conference on Edge Computing (EDGE). IEEE, 2017. p. 65-72.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Taha, A, Manzoor, S, Suri, N, A.M., G (ed.) & M., L (ed.) 2017, SLA-Based Service Selection for Multi-Cloud Environments. in 2017 IEEE International Conference on Edge Computing (EDGE). IEEE, pp. 65-72. https://doi.org/10.1109/IEEE.EDGE.2017.17

APA

Taha, A., Manzoor, S., Suri, N., A.M., G. (Ed.), & M., L. (Ed.) (2017). SLA-Based Service Selection for Multi-Cloud Environments. In 2017 IEEE International Conference on Edge Computing (EDGE) (pp. 65-72). IEEE. https://doi.org/10.1109/IEEE.EDGE.2017.17

Vancouver

Taha A, Manzoor S, Suri N, A.M. G, (ed.), M. L, (ed.). SLA-Based Service Selection for Multi-Cloud Environments. In 2017 IEEE International Conference on Edge Computing (EDGE). IEEE. 2017. p. 65-72 https://doi.org/10.1109/IEEE.EDGE.2017.17

Author

Taha, A. ; Manzoor, S. ; Suri, Neeraj ; A.M., Goscinski (Editor) ; M., Luo (Editor). / SLA-Based Service Selection for Multi-Cloud Environments. 2017 IEEE International Conference on Edge Computing (EDGE). IEEE, 2017. pp. 65-72

Bibtex

@inproceedings{ff3d2c6f60ef41b0a15d989763654242,
title = "SLA-Based Service Selection for Multi-Cloud Environments",
abstract = "The Multi-Cloud is a new paradigm that facilitates customers to host their applications and data onto multiple Clouds. It also allows the Cloud Service Providers (CSPs) to offer new functionalities in order to satisfy the diverse customer requirements. This is done by offering a combination of services from multiple CSPs that can individually only provide limited functionalities. The issue of 'services selection' using Service Level Agreement's (SLA's) has been well-studied in Cloud computing. However, the Multi-Cloud environment introduces dependencies across the services thus entailing the need of new approaches. In this paper, we propose a Multi-Cloud service selection approach. The novelty of our approach lies in extending and adapting a single Cloud decision-making technique for the Multi-Cloud environment. The proposed framework (i) assesses the service levels provided by varied CSPs and selects the optimal combination of services from multiple CSPs that best satisfy the customer requirements, and (ii) automatically detects conflicts resulting from dependencies between the selected services. Moreover, our framework provides an explanation for the detected conflicts allowing both customers and CSPs to resolve these conflicts. We validate our framework by applying it to real-world data that leverages the standardized Cloud service level agreements structure proposed in the ISO/IEC 19086 standard. {\textcopyright} 2017 IEEE.",
keywords = "Multi-Cloud, Service dependencies, SLA, Decision making, Distributed database systems, Network architecture, Network function virtualization, Quality of service, Sales, Cloud service providers, Customer requirements, Multi-clouds, Optimal combination, Service dependency, Service Level Agreements, Service selection, Services selection, Customer satisfaction",
author = "A. Taha and S. Manzoor and Neeraj Suri and Goscinski A.M. and Luo M.",
year = "2017",
month = jun
day = "25",
doi = "10.1109/IEEE.EDGE.2017.17",
language = "English",
isbn = "9781538620168",
pages = "65--72",
booktitle = "2017 IEEE International Conference on Edge Computing (EDGE)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - SLA-Based Service Selection for Multi-Cloud Environments

AU - Taha, A.

AU - Manzoor, S.

AU - Suri, Neeraj

A2 - A.M., Goscinski

A2 - M., Luo

PY - 2017/6/25

Y1 - 2017/6/25

N2 - The Multi-Cloud is a new paradigm that facilitates customers to host their applications and data onto multiple Clouds. It also allows the Cloud Service Providers (CSPs) to offer new functionalities in order to satisfy the diverse customer requirements. This is done by offering a combination of services from multiple CSPs that can individually only provide limited functionalities. The issue of 'services selection' using Service Level Agreement's (SLA's) has been well-studied in Cloud computing. However, the Multi-Cloud environment introduces dependencies across the services thus entailing the need of new approaches. In this paper, we propose a Multi-Cloud service selection approach. The novelty of our approach lies in extending and adapting a single Cloud decision-making technique for the Multi-Cloud environment. The proposed framework (i) assesses the service levels provided by varied CSPs and selects the optimal combination of services from multiple CSPs that best satisfy the customer requirements, and (ii) automatically detects conflicts resulting from dependencies between the selected services. Moreover, our framework provides an explanation for the detected conflicts allowing both customers and CSPs to resolve these conflicts. We validate our framework by applying it to real-world data that leverages the standardized Cloud service level agreements structure proposed in the ISO/IEC 19086 standard. © 2017 IEEE.

AB - The Multi-Cloud is a new paradigm that facilitates customers to host their applications and data onto multiple Clouds. It also allows the Cloud Service Providers (CSPs) to offer new functionalities in order to satisfy the diverse customer requirements. This is done by offering a combination of services from multiple CSPs that can individually only provide limited functionalities. The issue of 'services selection' using Service Level Agreement's (SLA's) has been well-studied in Cloud computing. However, the Multi-Cloud environment introduces dependencies across the services thus entailing the need of new approaches. In this paper, we propose a Multi-Cloud service selection approach. The novelty of our approach lies in extending and adapting a single Cloud decision-making technique for the Multi-Cloud environment. The proposed framework (i) assesses the service levels provided by varied CSPs and selects the optimal combination of services from multiple CSPs that best satisfy the customer requirements, and (ii) automatically detects conflicts resulting from dependencies between the selected services. Moreover, our framework provides an explanation for the detected conflicts allowing both customers and CSPs to resolve these conflicts. We validate our framework by applying it to real-world data that leverages the standardized Cloud service level agreements structure proposed in the ISO/IEC 19086 standard. © 2017 IEEE.

KW - Multi-Cloud

KW - Service dependencies

KW - SLA

KW - Decision making

KW - Distributed database systems

KW - Network architecture

KW - Network function virtualization

KW - Quality of service

KW - Sales

KW - Cloud service providers

KW - Customer requirements

KW - Multi-clouds

KW - Optimal combination

KW - Service dependency

KW - Service Level Agreements

KW - Service selection

KW - Services selection

KW - Customer satisfaction

U2 - 10.1109/IEEE.EDGE.2017.17

DO - 10.1109/IEEE.EDGE.2017.17

M3 - Conference contribution/Paper

SN - 9781538620168

SP - 65

EP - 72

BT - 2017 IEEE International Conference on Edge Computing (EDGE)

PB - IEEE

ER -