International Conference on Cloud and Green Computing, Xiangtan, China

Abbrevation

CGC

Link

http://kpnm.hnust.cn/confs/cgc2012/

City

Xiangtan

Country

China

Deadline Paper

2012-06-30

Start Date

2012-11-01

End Date

2012-11-03

Abstract

Cloud computing is positioning itself as a new emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can then provision and deploy these services in a pay–as–you–go fashion and in a convenient way while saving huge capital investment in their own IT infrastructures. It has evoked a high degree of interest internationally with many challenges such as security and privacyremaining open. Green computing, in general, aims to enable computing and IT infrastructures to be energy efficient and environmentally friendly. With dramatically increasing demand on computing and storage systems, IT infrastructures have been scaled tremendously which results in huge amount of energy consumption, heat dissemination, greenhouse emission and even part of climate change. As such, green computing has come to the picture seeking solutions for computing and IT infrastructures to be energy efficient and environmentally friendly. While customers can enjoy green atmosphere as well as cost saving and convenience because cloud computing accommodates their IT infrastructures in the cloud, how to green the cloud becomes increasingly challenging and extremely important in terms of global energy efficiency and environmental sustainability. CGC (Cloud and Green Computing) is created to provide a prime international forum for both researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Cloud computing and Green computing as well as joint–venture and synergic research and development across both areas. Scope and Topics Topics of particular interest include, but are not limited to: Â· Fundamentals of cloud computing Â· Architectural cloud models Â· Programming cloud models Â· Provisioning/pricing cloud models Â· Volumn, Velocity and Variety of Big Data on Cloud Â· Resource scheduling and SLA for Big Data on Cloud Â· Storage and computation management of Big Data on Cloud Â· Large–scale scientific workflow in support of Big Data processing on Cloud Â· Big Data mining and analytics Â· Multiple source data processing and integration on Cloud Â· Visualisation of Big Data on Cloud Â· MapReduce for Big Data processing Â· Distributed file storage of Big Data on Cloud Â· Data storage and computation in cloud computing Â· Resource and large–scale job scheduling in cloud computing Â· Security, privacy, trust, risk in cloud computing Â· Fault tolerance and reliability in cloud computing Â· Access control to cloud computing Â· Resource virtualisation Â· Monitoring and auditing in cloud Â· Scalable and elastic cloud services Â· Social computing and impacts on the cloud Â· Innovative HCI and touch–screen models and technologies to cloud Â· Mobile commerce, handheld commerce and e–markets on cloud Â· Intelligent/agent–based cloud computing Â· Migration of business applications to cloud Â· Cloud use case studies Â· Fundamentals of green computing Â· Energy aware software, hardware and middleware Â· Energy efficient IT architecture Â· Energy efficient resource scheduling and optimisation Â· Energy efficient clustering and computing Â· Large–scale energy aware data storage and computation Â· Energy aware control, monitoring and HCI design Â· Energy efficient networking and operation Â· Energy efficient design of VLSI and micro–architecture Â· Intelligent energy management Â· Green data centers Â· Energy aware resource usage and consumption Â· Smart power grid and virtual power stations Â· Energy policy, social behaviour and government management Â· Teleworking, tele–conferences and virtual meeting Â· Low power electronics and energy recycling Â· Green computing case studies Â· Energy efficient Internet of Things Â· Energy efficient cloud architecture Â· Energy aware data storage and computation in cloud computing Â· Energy aware scheduling, monitoring, auditing in cloud Â· Case studies of green cloud computing.