Abstract
Recently, many companies or organizations are introducing cloud services for managing digital records. Cloud services can dramatically reduce the cost of archiving and managing digital records, and provide a foundation for resilient management of digital records, depending on the business environment. Many companies and organizations outsource management of digital records to the cloud. Generally, companies sign SLA contracts when outsourcing computing systems to the cloud. This means that they will pay for the usage of the service while expecting cloud service more or less quantitative level. Customers who request cloud record management services want to be assured that their records are kept in trust in the cloud while meeting records requirements. The cloud record management service provider wants to know which quality items or criteria associated with records should be used to manage records. To establish a cloud record management service SLA, customers and service providers must be aware of each other’s interrelationships, make a clear statement of their requirements and expectations, and agree on them. Because cloud services pay for service usage and satisfaction, the SLA must be defined for the purpose so that the customer and service provider can provide services that are mutually satisfactory. This paper describes the requirements for ensuring the quality of cloud record management services and the quality items and classification schemes and key indicators and values required for establishing SLAs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Na, J.: Qualitative study on service features for cloud computing. J. Digit. Contents Soc. 12(3), 319–327 (2011)
Qiu, M.M., Zhou, Y., Wang, C.: Systematic analysis of public cloud service level agreements and related business values. In: Proceedings of International Conference on Services Computing, pp. 729–736, June 2013
Wu, C., Zhu, Y., Pan, S.: The SLA evaluation model for cloud computing. In: Proceedings of International Conference on Computer, Networks and Communication Engineering, pp. 331–334
Ahn, Y., Park, J., Choi, B.: Cross-cutting based quality metric and SLA model for mediating cloud service. In: Proceedings of International Conference on Information Society, pp. 61–66, June 2013
Quality Factors for Cloud Computing SLA. CCForum, December 2010
Badidi, E.: A cloud service broker for SLA-based SaaS provisioning. In: Proceedings of International Conference on Information Society, pp. 61–66, June 2013
He, H., Ma, Z., Chen, H., Shao, W.: Towards an SLA-Driven cache adjustment approach for applications on PaaS. In: Proceedings of the Asia-Pacific Symposium on Internetware, pp. 11–20, October 2013
Ayadi, I., Simoni, N., Aubonnet, T.: SLA approach for Cloud as a Service. In: Proceedings of International Conference on Cloud Computing, pp. 966–967. IEEE Computer Society, June 2013
Alhamad, M., Dillon, T., Chang, E.: Conceptual SLA framework for cloud computing. In: Proceedings of International Conference on Digital Ecosystems and Technologies, pp. 606–610, April 2010
Stamou, K., Kantere, V., Morin, J.H., Geogiou, M.: A SLA graph model for data services. In: Proceeding of International Workshop on Cloud Data Management, pp. 27–34, October 2013
Ahn, Y., Park, J., Yeom, G.: Service analysis model based on variation for cloud service mediation. Korea Computer Convention, June 2014
Hussain, S., Gustavsson, R., Saleem, A., Nordstrom, L.: A SLA conceptual framework for monitoring QoS in smart grid. In: Proceedings of IEEE Grenoble on PowerTech, pp. 1–6, June 2013
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Lee, Y., Lee, U. (2019). Record Management in the Cloud: Service Quality and Service Level Agreement. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2019. Lecture Notes in Computer Science(), vol 11656. Springer, Cham. https://doi.org/10.1007/978-3-030-26354-6_35
Download citation
DOI: https://doi.org/10.1007/978-3-030-26354-6_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-26353-9
Online ISBN: 978-3-030-26354-6
eBook Packages: Computer ScienceComputer Science (R0)