Name
Abstract | ||
|---|---|---|
Energy-saving and environmental protection have become the most popular and important research topics at present. Green Computing, as an indispensable part, is a new computing model to promote scientific progress and sustainable social development. It has become the focus and the high ground of international competition, relating to the country's political, economic and social security. In this paper, from the point of view reducing server redundancy and improving PC terminal performance, heterogeneous systems are deployed in a few or even a single server by using the virtualization technology. A globally collaborative mechanism of the Green Private Cloud Computing (GCMGPC) is proposed and the Green Private Cloud Architecture model is built with virtualization technology for meliorating the status. It can change the reality that the operating environment of Cloud Computing relies on backend servers excessively. Meanwhile, it provides a cooperative method of workload balance between servers and clients through a resources sharing dynamically balancing algorithm with the cloud servers and clients (RSDBASC). It can meet the requirement that transforms the clients into the similar cloud server nodes (SCSNs) under the premise of not increasing the number of the servers. The new integrated Green Private Cloud Architecture with global collaboration can greatly improve the utilization of hardware resources and allocate the global resource more rationally. By this architecture, it will achieve three purposes, including energy-saving, expenditure-reducing and efficiency. Experiments are carried out to validate the feasibility and superiority by such model, and the results are shown great. The presented methods establish a favorable foundation for the future research of Green Public Cloud. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s11235-011-9639-5 | Telecommunication Systems |
Keywords | Field | DocType |
virtualization,energy efficient,dynamic balance,green computing | Virtualization,Green computing,Efficient energy use,Computer science,Computer security,Server,Computer network,Utility computing,Cloud computing security,Cloud testing,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
52 | 2 | 1572-9451 |
Citations | PageRank | References |
5 | 0.41 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juanli Hu | 1 | 10 | 2.63 |
| Jiabin Deng | 2 | 7 | 1.21 |
| Juebo Wu | 3 | 14 | 3.27 |