Integrating Resource Consumption and Allocation for Infrastructure Resources on-Demand

Citations Over TimeTop 1% of 2010 papers

Abstract

Infrastructure resources on-demand requires resource provision (e.g., CPU and memory) to be both sufficient and necessary, which is the most important issue and a challenge in Cloud Computing. Platform as a service (PaaS) encapsulates a layer of software that includes middleware, and even development environment, and provides them as a service for building and deploying cloud applications. In PaaS, the issue of on-demand infrastructure resource management becomes more challenging due to the thousands of cloud applications that share and compete for resources simultaneously. The fundamental solution is to integrate and coordinate the resource consumption and allocation management of a cloud application. The difficulties of such a solution in PaaS are essentially how to maximize the resource utilization of an application, and how to allocate resources to guarantee adequate resource provision for the system. In this paper, we propose an approach to managing infrastructure resources in PaaS by leveraging two adaptive control loops: the resource consumption optimization loop and the resource allocation loop. The optimization loop improves the resource utilization of a cloud application via management functions provided by the corresponding middleware layers of PaaS. The allocation loop provides or reclaims appropriate amounts of resources to/from the application system while guaranteeing its performance. The two loops are integrated to run consecutively and repeatedly to provide infrastructure resources on-demand by first trying to improve resource utilization, and then allocating more resources when necessary. We implement a framework, SmartRod, to investigate our approach. The experiment on SmartRod proves its effectiveness on infrastructure resource management.

Related Papers

• → Implementing Human Resource Information System (HRIS) for Efficient Human Resource Management(2023)17 cited
• → Grid Resource Allocation and Management Algorithm Based on Optimized Multi-task Target Decision(2019)9 cited
• → Research on ERP Intelligent Human Resource Management System Based on Computer Big Data Technology(2022)1 cited
• → A note on federation management: autonomic resource allocation with economic-enhanced agents(2012)
• Resource Allocation in Project Portfolio Management: Practice in the Baltic States(2014)