Purpose Big data is increasingly becoming a major organizational enterprise force to reckon
with in this global era for all sizes of industries. It is a trending new enterprise system or …

Resource-disaggregated architectures have risen in popularity for large datacenters.
However, prior disaggregation systems are designed for native applications; in addition, all …

AsterixDB is a new, full-function BDMS (Big Data Management System) with a feature set
that distinguishes it from other platforms in today's open source Big Data ecosystem. Its …

Programs are bloated. Our study shows that only 5% of libc is used on average across the
Ubuntu Desktop envi-ronment (2016 programs); the heaviest user, vlc media player, only …

Commodity software typically includes functionalities for a broad user population. However,
each individual user usually only needs a subset of the supported functionalities. The …

Deep learning has become the standard model for object detection and recognition.
Recently, there is progress on using CNN models for geometric vision tasks like depth …

Developers today have access to an arsenal of toolkits and libraries for rapid application
prototyping. However, when an application loads a library, the entirety of that library's code …

Most “Big Data” systems are written in managed languages, such as Java, C#, or Scala.
These systems suffer from severe memory problems due to the massive volume of objects …

Big data applications are currently used in many application domains, ranging from
statistical applications to prediction systems and smart cities. However, the quality of these …

In-memory key/value store (KV-store) is a key building block for many systems like
databases and large websites. Two key requirements for such systems are efficiency and …