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Application of large-scale computing infrastructure for diverse environmental research applications using GC3Pie

Related publications (58)

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Mapping large organizations

Dario Rodighiero

Today organizations are more than ever complex systems. They are large, ramified, distributed, and intertwined so that their organic structure seems like a tangle of activities. Day by day individuals contribute to keep these structures alive with their wo ...

2017

Multicloud Resource Allocation

Hao Zhuang

Nowadays our daily life is not only powered by water, electricity, gas and telephony but by "cloud" as well. Big cloud vendors such as Amazon, Microsoft and Google have built large-scale centralized data centers to achieve economies of scale, on-demand res ...

EPFL2017

3. Patent Citation Data in Social Science Research: Overview and Best Practices

Gaétan Jean A de Rassenfosse

The last 2 decades have witnessed a dramatic increase in the use of patent citation data in social science research. Facilitated by digitization of the patent data and increasing computing power, a community of practice has grown up that has developed meth ...

Wiley2017

Retaining data from streams of social platforms with minimal regret

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

Today's social platforms, such as Twitter and Facebook, continuously generate massive volumes of data. The resulting data streams exceed any reasonable limit for permanent storage, especially since data is often redundant, overlapping, sparse, and generall ...

2017

Optimistic Causal Consistency for Geo-Replicated Key-Value Stores

Willy Zwaenepoel, Diego Didona, Kristina Spirovska

Causal consistency is an attractive consistency model for geo-replicated data stores because it hits a sweet spot in the ease of programmability vs performance trade-off. In this paper we propose a new approach to causal consistency, which we call Optimist ...

2017

Toward timely, predictable and cost-effective data analytics

Renata Borovica-Gajic

Modern industrial, government, and academic organizations are collecting massive amounts of data at an unprecedented scale and pace. The ability to perform timely, predictable and cost-effective analytical processing of such large data sets in order to ext ...

EPFL2016

The Impact of Big Data and Analytics on CIO Role

Gianluigi Viscusi

The joint consideration of big data and analytics is a relatively recent development, particularly, within the domain of Management of Information Systems (MIS). In recent years there is a dramatic increment of the data produced by digital devices and syst ...

2016

Identifying patterns in kinetic parameters that determine the impact of rate-limiting enzymes

Vassily Hatzimanikatis, Ljubisa Miskovic, Michaël Roger Germain Moret

Kinetic models are essential for studying complex behavior and properties of metabolism. However, a persistent hurdle for constructing these models is uncertainty in the kinetic properties of enzymes. Currently available methods for building kinetic models ...

2016

Specialising Parsers for Queries

Manohar Jonnalagedda

Many software systems consist of data processing components that analyse large datasets to gather information and learn from these. Often, only part of the data is relevant for analysis. Data processing systems contain an initial preprocessing step that fi ...

EPFL2016

Reconstruction From Multiple Poses in Fluorescence Imaging: Proof of Concept

Michaël Unser, Paul Guichard, Denis Fortun, Ning Chu

One disadvantage of all fluorescence imaging modalities is a poor axial resolution. To overcome this issue, we propose a novel approach to reconstruct fluorescence volumes with isotropic high resolution, from images of particle replicates observed at multi ...

Ieee-Inst Electrical Electronics Engineers Inc2016