In this work we focus on vehicular area networks. A group of customers, located into a same public vehicle, is connected to the terrestrial network through a satellite backbone connectivity. We propose to deploy on-board proxies, which rely on elastic buffering mechanisms as a mean to decouple the multimedia information retrieval rate on the network backbone from the play-out streaming rate at ...

Developing elastic applications should be easy. This paper takes a step toward the goal of generalizing elasticity by observing that a broadly deployed class of software— the network middlebox—is particularly well suited to dynamic scale. Middleboxes tend to achieve a clean separation between a small amount of per-flow network state and a large amount of complex application logic. We present a ...

An attractive approach to leveraging the ability of cloudcomputing platforms to provide resources on demand is to build elastic applications, which can scale up or down based on resource requirements. To ease the development of elastic applications, it is useful for programmers to write applications with simple, inelastic semantics and rely on runtime systems to provide elasticity. While this a...

Support of elastic TCP traffic over broadband GEO satellite networks v control algorithm for TCP flows over split-TCP satellite networks that can preserve the target requirements in terms of TCP steady-state throughput and TCP latency. We describe generic fixed-point approximations for the performance of TCP flows in geostationary satellite networks. We provide examples for the method applicabi...

Cloud storage is an emerging infrastructure that offers Platforms as a Service (PaaS). On such platforms, storage and compute power are adjusted dynamically, and therefore it is important to build a highly scalable and reliable storage that can elastically scale ondemand with minimal startup cost. In this paper, we propose ecStore – an elastic cloud storage system that supports automated data p...

The hybrid Huberized support vector machine (HHSVM) with the elastic-net penalty has been developed for cancer tumor classification based on thousands of gene expression measurements. In this paper, we develop a Bayesian formulation of the hybrid Huberized support vector machine for binary classification. For the coefficients of linear classification boundary, we propose a new type of prior, wh...

In view of its ongoing importance for a variety of practical applications, feature selection via `1-regularization methods like the lasso has been subject to extensive theoretical as well empirical investigations. Despite its popularity, mere `1-regularization has been criticized for being inadequate or ineffective, notably in situations in which additional structural knowledge about the predic...

We present a study of the relationship between the changes in the shape of the human ear due to jaw movement and acoustical feedback (AF) in hearing aids. In particular, we analyze the deformation field of the outer ear associated with the movement of the mandible (jaw bone) to understand its effect on AF and identify local regions that play a significant role. Our data contains ear impressions...

We introduce the concept of elastic reservation of bandwidth capacity to mitigate the problem of bandwidth fragmentation in LambdaGrids and present a network model which can support elastic reservations. We also define the Elastic Scheduling Problem (ESP), which succinctly captures the optimal utilization objective of elastic reservations. Analysis of ESP reveals that it is an NP-complete probl...

Multi-modal neuroimaging and biomarker data provide exciting opportunities to enhance our understanding of phenotypic characteristics associated with complex disorders. This study focuses on integrative analysis of structural MRI data and proteomic data from an RBM panel to examine their predictive power and identify relevant biomarkers in a large MCI/AD cohort. MRI data included volume and thi...