We describe PNUTS, a massively parallel and geographically distributed database system
for Yahoo!'s web applications. PNUTS provides data storage organized as hashed or …

The growing size of modern storage systems is expected to exceed billions of objects,
making metadata scalability critical to overall performance. Many existing distributed file …

Roshan Sumbaly, Jay Kreps, Lei Gao, Alex Feinberg, Chinmay Sonam, Sam Shah Page 1
Roshan Sumbaly, Jay Kreps, Lei Gao, Alex Feinberg, Chinmay Sonam, Sam Shah Serving …

Inspired by Google's BigTable, a variety of scalable, semi-structured, weak-semantic table
stores have been developed and optimized for different priorities such as query speed …

Providing scalable database services is an essential requirement for extending many
existing applications of the Cloud platform. Due to the diversity of applications, database …

The use of large-scale data mining and machine learning has proliferated through the
adoption of technologies such as Hadoop, with its simple programming semantics and rich …

Internet applications increasingly rely on scalable data structures that must support high
throughput and store huge amounts of data. These data structures can be hard to implement …

The elapsed time of a parallel job depends on the completion time of its longest running
constituent. We present a static load balancing algorithm that distributes work evenly across …

Scientists' ability to generate and collect massive-scale datasets is increasing. As a result,
constraints in data analysis capability rather than limitations in the availability of data have …

In the last decade, the increased use and growth of social media, unconventional web
technologies, and mobile applications, have all encouraged development of a new breed of …