SelCSP: A Framework to Facilitate Selection of Cloud Service Providers

SelCSP: A Framework to Facilitate Selection of Cloud Service Providers

Abstract:

With rapid technological advancements, cloud marketplace witnessed frequent emergence of new service providers with similar offerings. However, service level agreements (SLAs), which document guaranteed quality of service levels, have not been found to be consistent among providers, even though they offer services with similar functionality. In service outsourcing environments, like cloud, the quality of service levels are of prime importance to customers, as they use third-party cloud services to store and process their clients’ data. If loss of data occurs due to an outage, the customer’s business gets affected. Therefore, the major challenge for a customer is to select an appropriate service provider to ensure guaranteed service quality. To support customers in reliably identifying ideal service provider, this work proposes a framework, SelCSP, which combines trustworthiness and competence to estimate risk of interaction. Trustworthiness is computed from personal experiences gained through direct interactions or from feedbacks related to reputations of vendors. Competence is assessed based on transparency in provider’s SLA guarantees. A case study has been presented to demonstrate the application of our approach. Experimental results validate the

practicability of the proposed estimating mechanisms.

Existing System:

Customer does not have to manage and maintain servers, and in turn, uses the resources of cloud provider as services, and is charged according to

pay-as-you-use model. Similar to other on-line distributed systems, like e- commerce, p2p networks, product reviews, and discussion forums, a cloud provides its services over the Internet.

Among several issues that prevented companies from moving their business onto public clouds, security is a major one. Some of the security concerns, specific to cloud environment are: multi-tenancy, lack of customer’s control over their data and application, lack of assurances and violations for SLA guarantees, non-transparency with respect to security profiles of remote datacenter locations, and so on.

Proposed System:

In this work, authors propose algorithms to minimize replication cost and the number of QoS-violated data replicas. Hence, it is desirable from customer’s point of-view to avoid such loss, rather than getting guarantees of service credits following a cloud outage.

Avoidance of data loss requires reliable identification of competent service provider. As customer does not have control over its data deployed in cloud, there is a need to estimate risk prior to outsourcing any business onto a cloud. This motivated us to propose a risk estimation scheme which makes a quantitative assessment of risk involved while interacting with a given service provider. To the best of our knowledge, estimation of risk of interaction in cloud environment has not been addressed.

Hence, in this respect, the current work is significant as it proposes a framework, SelCSP, which attempts to compute risk involved in interacting with a given cloud service provider. The framework estimates perceived

level of interaction risk by combining trustworthiness and competence of

cloud provider. Trustworthiness is computed from ratings obtained through either direct interaction or feedback.

Hardware Requirements:

•       System              : Pentium IV 2.4 GHz.

•       Hard Disk        : 40 GB.

•       Floppy Drive   : 1.44 Mb.

•       Monitor            : 15 VGA Colour.

•       Mouse               : Logitech.

•       RAM                 : 256 Mb.

Software Requirements:

•       Operating system    : - Windows XP.

•       Front End                  : .NET

•       Back End                   : - SQL Server

Software Requirements:

•       Operating system    : - Windows XP.

•       Front End                  : - .Net

•       Back End                   : - SQL Server