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VEE
2012
ACM
322views Virtualization» more  VEE 2012»
11 years 11 months ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
SIGMOD
2007
ACM
197views Database» more  SIGMOD 2007»
14 years 3 months ago
Automated and on-demand provisioning of virtual machines for database applications
Utility computing delivers compute and storage resources to applications as an `on-demand utility', much like electricity, from a distributed collection of computing resource...
Piyush Shivam, Azbayar Demberel, Pradeep Gunda, Da...
IADIS
2008
13 years 5 months ago
Modelling Collaborative Competence Level Using Machine Learning Techniques
Using open e-learning platforms as a tool to support the learning process has become an international tendency. Specially, in order to motivate the achievement of desired competen...
Laura Mancera Valetts, Silvia Baldiris Navarro, Ra...
CLEIEJ
2006
147views more  CLEIEJ 2006»
13 years 3 months ago
JADIMA: Virtual Machine Architecture for building JAVA Applications on Grid Platforms
This paper describes JADIMA (Java Distributed Machine), a collaborative platform to construct high performance distributed JAVA applications. JADIMA is a system that automatically...
Yudith Cardinale, Eduardo Blanco, Jesús De ...
BMCBI
2006
169views more  BMCBI 2006»
13 years 3 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...