Title :
A Novel Computing-Enhanced Cloud Storage Model Supporting Combined Service Aware
Author :
Liu, Ke ; Zhou, Jingli ; Qin, Leihua ; Lv, Ning
Author_Institution :
Dept. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Cloud storage has been increasing in popularity recently due to its ability to deliver virtualized storage on demand over a network. As the amount of digital resources continues to grow at an astounding rate, more and more intelligent devices (such as GPU) are embedded as computing units to enhance the performance of storage system. How to seamlessly integrate these computing resources into cloud storage is an important problem that we should confront with. In this paper, a novel computing-enhanced cloud storage model is provided, which divides coarse-grained storage service into fine-grained service modules. By combining these sub-service modules with additional computing modules, a combined service can be constructed to satisfy user´s complicated requests.
Keywords :
Internet; computer centres; digital storage; combined service aware; computing enhanced cloud storage model; digital resources; intelligent devices; storage system; virtualized storage; Acceleration; Clouds; Computational modeling; Computer architecture; Encryption; Graphics processing unit; Service oriented architecture; GPU; SOA; cloud storage; combined service; parallel; service aware;
Conference_Titel :
ChinaGrid Conference (ChinaGrid), 2010 Fifth Annual
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-7543-8
Electronic_ISBN :
978-1-4244-7544-5
DOI :
10.1109/ChinaGrid.2010.31