Microsoft Research

We live in a world that is increasingly alive with sensors and data.

We live in a world that is increasingly alive with sensors and data.

We live in a world that is increasingly alive with sensors and data.

We live in a world that is increasingly alive with sensors and data.

Main memory databases have become increasingly important as a way to provide high-performance OLTP (on-line transaction processing) capability.

We are living in a world of connected devices. These devices can take a number of shapes and forms: from tablet computers and smartphones, to sensors in the home, to embedded and wearable computers.

From crowdsourcing to data-driven models, technology offers new ways to collect and aggregate information on an unprecedented scale, allowing researchers to make reliable predictions about

We live in a world that is increasingly alive with sensors and data.

Do the repayment requirements of the classic microfinance contract inhibit investment in high-return but illiquid business opportunities among the poor?

Crowd computing harnesses the power of people out in the web to do tasks that are hard for individual users or computers to do alone.

We are living in a world of connected devices. These devices can take a number of shapes and forms: from tablet computers and smartphones, to sensors in the home, to embedded and wearable computers.

We are living in a world of connected devices. These devices can take a number of shapes and forms: from tablet computers and smartphones, to sensors in the home, to embedded and wearable computers.

News, social media, web sites, and enterprise sources produce huge amounts of valuable contents in the form of text and speech.

Effective Big Data management and analysis poses several difficult challenges for modern database architectures.

I will survey---at a very high level---the landscape of known space lower bounds for data stream computation and the crucial ideas, mostly from communication complexity, used to obtain these bounds.

Most procurement contracts incentivize timely delivery, either through the auction mechanism or the contract terms.

Microsoft Research – 8 августа 2016, 18:41

This talk is about the mergeability of data summaries.

Microsoft Research – 8 августа 2016, 18:40

Society arguably admires motor skill above all other human achievements if the popularity of sports and action movies are anything to go by.

Microsoft Research – 8 августа 2016, 18:40

We consider the estimation of local graph properties, which concern subgraphs that lie within the neighborhood of a vertex, such as counting the number of cliques with a certain number of vertices.

When handling large quantities of data, it is desirable to outsource the computational effort to a third party: this captures current efforts in cloud computing, but also scenarios within trusted

The use of computing sciences in plant systems biology: How can this association help us to produce more and better food and bioenergy at the same time cope with the impacts of the global climate

Microsoft Research – 8 августа 2016, 18:38

Microsoft Research – 8 августа 2016, 18:37

The talk will present a programming model for big data analytics, with a particular focus on our research in a massively parallel data processor in the Stratosphere project.

Microsoft Research – 8 августа 2016, 18:36

The Predictable Data Centers project tackles the issue of unpredictable application performance in today�s public and private data centers.

Software has become critical to nearly every aspect of our civilization. Consequently, the complexity of our tools and our needs for dependability have increased immensely.