Abstract
Cloud computing is one of the most successful business models for providing a simple pay-as-you-go, and therefore is gaining much popularity in the industry. Customers and enterprises can maintain or scale-up a business easily while cutting down on their budget. However, energy consumption is one of the biggest problems in current cloud computing. It is both essential and urgent for governmental and industrial institutions to address this, to achieve rapid growth. The development of energy-efficient cloud computing has to be taken into consideration, which relies on the development of several key technologies: More energy-efficient mediums can be used in cloud computing at the platform level; energy-efficient scheduling algorithms, memory systems, storage systems, resource management policies, etc., can be adopted at the hypervisor level; energy-efficient scheduling, communications, and applications can be applied at the virtual machine level; and energy-efficient mobile cloud computing will be developed, involving green networking and wireless communications, cloud-based mobile applications, and limited resources management.
Highlights
Cloud computing is one of the most successful business models for providing a simple pay-as-you-go, and is gaining much popularity in the industry
The development of energy-efficient cloud computing has to be taken into consideration, which relies on the development of several key technologies: More energy-efficient mediums can be used in cloud computing at the platform level; energyefficient scheduling algorithms, memory systems, storage systems, resource management policies, etc., can be adopted at the hypervisor level; energy-efficient scheduling, communications, and applications can be applied at the virtual machine level; and energy-efficient mobile cloud computing will be developed, involving green networking and wireless communications, cloud-based mobile applications, and limited resources management
In the article by Zuo et al, ‘‘A multi-objective hybrid cloud resource scheduling method based on deadline and cost constraints,’’ the authors propose a task-oriented multiobjective scheduling method based on ant colony optimization (MOSACO) to optimize the finite pool of public and private computing resources in a hybrid cloud computing environment, according to deadline and cost constraints
Summary
Cloud computing is one of the most successful business models for providing a simple pay-as-you-go, and is gaining much popularity in the industry. The proposed VRDI method can reduce the energy consumption of data center and ensure the quality of service of the cloud applications developed on the VMs. Large data centers providing basic resources to hosted tasks, such as CPU, RAM, storage, and bandwidth, consume a huge amount of energy, which leads to higher operating costs and CO2 traces.
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