Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

The traditional databases are not capable of handling unstructured data and high volumes
of real-time datasets. Diverse datasets are unstructured lead to big data, and it is laborious …

The initial design of Apache Hadoop [1] was tightly focused on running massive,
MapReduce jobs to process a web crawl. For increasingly diverse companies, Hadoop has …

TetriSched is a scheduler that works in tandem with a calendaring reservation system to
continuously re-evaluate the immediate-term scheduling plan for all pending jobs (including …

The growing popularity of massively accessed Web applications that store and analyze
large amounts of data, being Facebook, Twitter and Google Search some prominent …

Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint
computations without revealing private data. Current MPC algorithms scale poorly with data …

The field of serverless computing has recently emerged in support of highly scalable, event-
driven applications. A serverless application is a set of stateless functions, along with the …

The continuous shift towards data-driven approaches to business, and a growing attention to
improving return on investments (ROI) for cluster infrastructures is generating new …

With the advent of cloud computing, organizations are nowadays able to react rapidly to
changing demands for computational resources. Not only individual applications can be …

The 3Sigma cluster scheduling system uses job runtime histories in a new way. Knowing
how long each job will execute enables a scheduler to more effectively pack jobs with …