The vertex-centric programming model is an established computational paradigm recently
incorporated into distributed processing frameworks to address challenges in large-scale …

Advances in information technology and its widespread growth in several areas of business,
engineering, medical, and scientific studies are resulting in information/data explosion …

Machine learning (ML) is widely used to derive useful information from large-scale data
(such as user activities, pictures, and videos) generated at increasingly rapid rates, all over …

Naiad is a distributed system for executing data parallel, cyclic dataflow programs. It offers
the high throughput of batch processors, the low latency of stream processors, and the ability …

While high-level data parallel frameworks, like MapReduce, simplify the design and
implementation of large-scale data processing systems, they do not naturally or efficiently …

How can one build a distributed framework that allows efficient deployment of a wide
spectrum of modern advanced machine learning (ML) programs for industrial-scale …

WTF (" Who to Follow") is Twitter's user recommendation service, which is responsible for
creating millions of connections daily between users based on shared interests, common …

Enterprises today acquire vast volumes of data from different sources and leverage this
information by means of data analysis to support effective decision-making and provide new …

There is great interest in exploiting the opportunity provided by cloud computing platforms
for large-scale analytics. Among these platforms, Apache Spark is growing in popularity for …

Differential Dataflow Page 1 Differential Dataflow McSherry, Frank D., Murray, Derek G.,
Isaacs, Rebecca, Isard, Michael Chathura Kankanamge 08th November 2016 Page 2 Outline …