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VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and Its Applications

  • Jianjun Yu
  • Kejun DongEmail author
  • Yihua Zheng
Chapter
Part of the International Series on Computer Entertainment and Media Technology book series (ISCEMT)

Abstract

Scientific Virtual Laboratory (SVL) provides an online research environment for inter-disciplinary e-science applications, where researchers can do remote experimentation, create online chat rooms, share costly equipments and resources that otherwise are available to limited number of users due to constraints on time and geographical distances. Whereas traditional SVL may meet issues like access performance, adaptable, extensible and scalable framework adoption when provided to large number of researchers with “Big Data” processing in CAS (Chinese Academy of Science). “Big Data” system usually includes datasets with sizes beyond the ability of commonly-used software tools to capture, manage, and process the data within a tolerable elapsed time. Cloud computing enables “Big Data” processing of all sizes by delivering massive distributed computing and storage capacity as a transparent and centralized service to different communities of inter-disciplinary scientists, which inspires us to develop a SaaS (Software as a Service) cloud for scientific virtual laboratory named VLAB-C. VLAB-C provides three key features: (1) the ability of high performance on massive data processing and large number of communities’ collaboration; (2) elastic computing for collaborative services; (3) extensible open framework for customized service integration through developing the micro-kernel container, the cloud infrastructure, and the open service. We introduce VLAB-C system, its SVL applications, and several experiments on performance, which shows that VLAB-C achieves considerable efficiency with cloud computing technique.

Keywords

Cloud computing Software as a service (SaaS) Big data Virtual laboratory 

Notes

Acknowledgment

This research is supported by NSFC Grant No. 61202408, CNIC Grant CNIC-PY-1407, and CAS 125 Informatization Project XXH12503.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Computer Network Information CenterChinese Academy of SciencesBeijingChina

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