Decentralized, distributed storage offers a way to reduce the impact of data silos as often
fostered by centralized cloud storage. While the intentions of this trend are not new, the topic …

Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

Recent years have witnessed growing consolidation of web operations. For example, the
majority of web traffic now originates from a few organizations, and even micro-websites …

Function-as-a-Service (FaaS) platforms and" serverless" cloud computing are becoming
increasingly popular. Current FaaS offerings are targeted at stateless functions that do …

This paper describes a third-generation parameter server framework for distributed machine
learning. This framework offers two relaxations to balance system performance and …

We introduce a simple data model and API tailored for serving the social graph, and TAO, an
implementation of this model. TAO is a geographically distributed data store that provides …

The dependency of our society on networked computers has become frightening: In the
economy, all-digital networks have turned from facilitators to drivers; as cyber-physical …

The integration of social networking concepts into the Internet of things has led to the Social
Internet of Things (SIoT) paradigm, according to which objects are capable of establishing …

We propose a new type of saliency—context-aware saliency—which aims at detecting the
image regions that represent the scene. This definition differs from previous definitions …

Threats of distributed denial of service (DDoS) attacks have been increasing day-by-day due
to rapid development of computer networks and associated infrastructure, and millions of …