Publications
Publications from our Researchers
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
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Conference paperYang X, Guo Y, Bradley J, 2012,
An iterative parameter estimation method for biological systems
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Conference paperWu C, Guo Y, 2012,
A semantic relatedness service based on folksonomy
, Pages: 506-511 -
Conference paperHe S, Guo L, Ghanem M, et al., 2012,
Improving Resource Utilisation in the Cloud Environment Using Multivariate Probabilistic Models
, Pages: 574-581, ISSN: 2159-6182 -
Conference paperGuo Y, Ghanem M, Han R, 2012,
Does the Cloud Need New Algorithms? An Introduction to Elastic Algorithms
, 4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Publisher: IEEE, ISSN: 2330-2194 -
Book chapterGuo Y, Yang X, 2012,
System Biology Approach to Study Cancer Related Pathway
, Systems Biology in Cancer Research and Drug Discovery -
Conference paperHolehouse A, Yang X, Adcock I, et al., 2012,
Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways
, Pages: 69-76 -
Conference paperLi Y, Guo L, Guo Y, 2012,
CACSS: Towards a Generic Cloud Storage Service.
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Conference paperWu C, Guo Y, 2012,
A New Paradigm for Web App Development, Deployment, Distribution, and Collaboration
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Conference paperHan R, Guo L, Ghanem MM, et al., 2012,
Lightweight Resource Scaling for Cloud Applications
, Washington, DC, USA, Publisher: IEEE Computer Society, Pages: 644-651 -
Journal articleSilva D, Ghanem M, Guo Y, 2012,
WikiSensing: An Online Collaborative Approach for Sensor Data Management
, Sensors -
Journal articleWu C, Guo Y, Zhou B, 2012,
Social networking federation: A position paper
, Computers & Electrical Engineering -
Conference paperYan S, Wu C, Dai W, et al., 2012,
Environmental monitoring via compressive sensing
, New York, NY, USA, Publisher: ACM, Pages: 61-68 -
Conference paperHe S, Guo L, Guo Y, 2011,
Elastic Application Container
, 12th IEEE/ACM International Conference on Grid Computing (GRID), Publisher: IEEE, Pages: 216-217, ISSN: 1550-5510The computing resource level architecture allows end-users to directly control its underlying computer resources, such as VM (virtual machine) operations, scaling, networking, etc. However, setting up and maintaining a working environment is complex and time consuming for end-users and resource management is also a heavy-weight task for the providers. In contrast, the application resource level architecture automatically controls its underlying computer resources so that end-users can concentrate on their core business. In this paper, we propose a new architecture called Elastic Application Container (EAC) that enables the end-users to efficiently develop and deliver light-weight, elastic, multi-tenant, and portable applications. The EAC is an abstract representation which hides all its abstractions of the underlying VMs. We believe that our EAC architecture has the potential to become the foundation of future application resource level model in this research area.
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Conference paperHe S, Guo L, Guo Y, 2011,
Real Time Elastic Cloud Management for Limited Resources
, Pages: 622 -629-622 -629, ISSN: 2159-6182 -
Journal articleMa Y, Guo Y, Tian X, et al., 2011,
Distributed Clustering-Based Aggregation Algorithm for Spatial Correlated Sensor Networks
, Sensors Journal, IEEE, Vol: 11, Pages: 641 -648-641 -648, ISSN: 1530-437X
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