Local trust based resource allocation in cloud

Cloud computing is the buzz word where the likes of servers, storage, applications etc., are provided as service to organizations and individual users. The on-demand delivery of service, on a pay-as-you-go model, showcases the flexibility of this service benefiting users to cut down on the capital expenditure. Resource management, governed by optimal resource allocation, becomes an essential ingredient for on-demand resourcing. In an era still marred by skepticism in cloud adoption, the focus on `Trustworthiness of cloud´ gains importance for resource management. While current approaches provide trustworthiness based on brokers and consumers, trustworthiness - for the ability to complete submitted task with optimal resource allocation is critical. Hence, we propose technique of resource and reputation monitoring for `trustworthiness evaluation´, by using self-assessment based scheme. This scheme goes a step further in ensuring optimal resource allocation and workload balancing, by maintaining in the warm spot. The blend of trustworthiness and optimal resource allocation provides the advantage of best service at reduced cost ensuring high success rate for resource providers, thereby benefiting users and resource providers. These statements have been validated through experimental methods for efficient trustworthy resource allocation.