SLA-Aware Virtual Resource Management for Cloud Infrastructures

Abstract

Abstract

SOC: Satisfaction-Oriented Virtual Machine Consolidation in Enterprise Data Centers

“…Biran et al [5] formulated the network-aware VM placement problem as a Min Cut Ratio-aware VM Placement problem that considers not only local physical resources but also network resources, and introduced heuristics to solve it. In addition to these, there are also studies focusing on the SLA aspect [6,8,22], the contention between VMs [11,13], and the temperature in the data center [18]. However, the IT managers' preferences are not considered in the literature.…”

Utility-based Virtual Cloud Resource Allocation Model and Algorithm in Cloud Computing

“…The authors also proposed a borrowed/lend scheduling strategy to maximize the resource utilization [5]- [6] proposed the economics of cloud computing architecture from the perspective of economics and designed an economic model of cloud resource management on the basis of QoS. Based on the concept of economics, cloud computing environment can be seen as a cloud market, where resources are seen as goods, compute clouds and storage clouds are abstracted as resource providers, and the cloud users are seen as consumers.…”

Constraint Programming based Virtual Cloud Resources Allocation Model

“…Va n et al, propose a dynamic virtual resource scheduling model AVRM [7,8], which studies on how to select an appropriate virtual machine for an application and how to suitably deploy the virtual machine on the server in aspect of the two-dimensional virtual resources(CPU, RAM). In order to obtain optimal scheduling result, the scheduling problem is converted into constraint satisfaction problem, but the model only takes CPU, RAM resources into account without considering other types of physical resources.…”

“…The research is mainly on resources allocation and management algorithms to improve the performance of applications [7,8], resources allocation and management methods to improve the utilization of resources [9,10], economics based cloud resources allocation model [11,14], resource allocation and management model to reduce energy consumption as well as resource costs [12,13].…”