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

Aim

The aim of this paper proposes a framework, SelCSP, which combines trustworthiness and competence to estimate risk of interaction.

Scope:

The scope of this paper tends to validate the practicability of the proposed estimating the risk of interaction.

Existing System

In most cases, it has been observed that the failover time is quite long and customers’ businesses were hugely affected owing to lack of recovery strategy on vendor side. Moreover, in some instances, customers were not even intimated about the outage by providers. Cloud providers may use the high-quality first replication (HQFR) strategy proposed in to model their recovery mechanism. 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.

 Disadvantages

1.  Lack of assurances and violations for SLA guarantees
2. Multi-tenancy, lack of customer’s control over their data and application
3. Non-transparency with respect to security profiles of remote datacenter locations

 Proposed System

In this paper 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.

 Advantages

1.  The framework estimates trustworthiness in terms of context-specific, dynamic trust and reputation feedbacks.
2.  Both these entities are combined to model interaction risk, which gives an estimate of risk level involved in an interaction

 System Architecture

System Configuration

Hardware Requirements

• Speed                  -    1.1 Ghz
• Processor              -    Pentium IV
• RAM                    -    512 MB (min)
• Hard Disk            -    40 GB
• Key Board                    -    Standard Windows Keyboard
• Mouse                  -    Two or Three Button Mouse
• Monitor                -     LCD/LED

 Software requirements

• Operating System              : Windows 7             
•  Front End                           : ASP.Net and C#
• Database                             : MSSQL
• Tool                                    : Microsoft Visual studio

References

Ghosh, N.,Ghosh, S.K.,  Das, S.K. “SelCSP: A Framework to Facilitate Selection of Cloud Service Providers” IEEE Transactions on Cloud Computing, Volume 3 ,  Issue 1 JULY 2014.