A cache management mechanism for multi-tenant cloud data storage

A cache management mechanism for multi-tenant cloud data storage

Shuliang Wang Jie

With the popularity of cloud computing, software as a service (software as a Service,saas) is becoming an important manifestation of cloud computing. Caching of data nodes in the cloud is an important resource to improve the performance of data access for multi-tenant applications, The sharing and allocation of cached resources is the concern of the SaaS provider. For SaaS providers, how to efficiently allocate cached resources on data nodes among multiple tenants to meet the tenant's service level agreement (AGREEMENT,SLA) Getting higher returns has become a challenge. In order to achieve the goal of maximizing the revenue of service providers, the paper puts forward a multi tenant cloud data storage cache management mechanism, evaluates the revenue value of service providers under different caching policies, and defines the global cache management problem as the goal optimization problem, combining with SLA income model In combination with the characteristics of cache allocation, the optimal genetic algorithm is used to solve the problem. Through experimental comparison, this method can ensure that the SaaS service provider makes efficient use of cached resources among many tenants to obtain high yield.

A cache management mechanism for multi-tenant cloud data storage