Can Application Service Providers Enable Cost-Effective Information Technology for Travel & Tourism?

The Cloud Computing (CC) provides access to the resources with usage based payments model. The application service providers can seamlessly scale the services. In CC infrastructure, a different number of virtual machine instances can be created depending on the application requirements. The capability to scale Software-as-a-Service (SaaS) application is very attractive to the providers because of the potential to scale application resources to up or down, the user only pay for the resources required. Even though the large-scale applications are deployed on cloud infrastructures on pay-per-use basis, the cost of idle resources (memory, CPU) is still charged to application providers. The issues of saturation and wastage of cloud resources are still unresolved. This paper attempts to propose the resource allocation models for SaaS applications deployments over CC platforms. The best balanced resource allocation model is proposed keeping in view cost and user requirements.

Download Full-text

Deployment of virtual machines for tiered applications in cloud systems with optimized resource allocation based on availability SLAS

10.32920/ryerson.14655780 ◽

2021 ◽

Author(s):

Praneeth Sakhamuri

Keyword(s):

Response Time ◽

Virtual Machine ◽

Virtual Machines ◽

Service Providers ◽

Service Level Agreement ◽

Cost Effective ◽

Service Level ◽

Single Type ◽

Application Service Providers ◽

Application Service

Deploying and managing high availability-tiered application in the cloud is challenging, as it requires providing necessary virtual machines to make the application available. An application is available if it works and responds in a timely manner for varying workloads. Application service providers need to allocate specified number of working virtual machine copies for each server with at least a given minimum computing power, to meet the response time requirement. Otherwise, we may end up with response time failures. This thesis formulates an optimization problem that determines the number and type of virtual machines needed for each server to minimize the cost and at the same time guarantees the availability SLA (Service-Level Agreement) for different workloads. The results demonstrate that a diverse approach is more cost-effective than running on a single type of virtual machine, and buying only the cheapest virtual machines for an application is not always economical.

Download Full-text

Deployment of virtual machines for tiered applications in cloud systems with optimized resource allocation based on availability SLAS

10.32920/ryerson.14655780.v1 ◽

2021 ◽

Author(s):

Praneeth Sakhamuri

Keyword(s):

Response Time ◽

Virtual Machine ◽

Virtual Machines ◽

Service Providers ◽

Service Level Agreement ◽

Cost Effective ◽

Service Level ◽

Single Type ◽

Application Service Providers ◽

Application Service

Deploying and managing high availability-tiered application in the cloud is challenging, as it requires providing necessary virtual machines to make the application available. An application is available if it works and responds in a timely manner for varying workloads. Application service providers need to allocate specified number of working virtual machine copies for each server with at least a given minimum computing power, to meet the response time requirement. Otherwise, we may end up with response time failures. This thesis formulates an optimization problem that determines the number and type of virtual machines needed for each server to minimize the cost and at the same time guarantees the availability SLA (Service-Level Agreement) for different workloads. The results demonstrate that a diverse approach is more cost-effective than running on a single type of virtual machine, and buying only the cheapest virtual machines for an application is not always economical.

Download Full-text