Scalable database management systems (DBMS)---both for update intensive application
workloads as well as decision support systems for descriptive and deep analytics---are a …

In the last two decades, the continuous increase of computational power has produced an
overwhelming flow of data. Moreover, the recent advances in Web technology has made it …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

Online services distribute and replicate state across geographically diverse data centers and
direct user requests to the closest or least loaded site. While effectively ensuring low latency …

Choosing a cloud storage system and specific operations for reading and writing data
requires developers to make decisions that trade off consistency for availability and …

This paper introduces a new transactional “database-as-a-service”(DBaaS) called
Relational Cloud. A DBaaS promises to move much of the operational burden of …

Over the years, different meanings have been associated with the word consistency in the
distributed systems community. While in the'80s “consistency” typically meant strong …

Cloud computing promises a number of advantages for the deployment of data-intensive
applications. One important promise is reduced cost with a pay-as-you-go business model …

Cloud computing has emerged as a preferred platform for deploying scalable web-
applications. With the growing scale of these applications and the data associated with …

Database systems serving cloud platforms must serve large numbers of applications (or
tenants). In addition to managing tenants with small data footprints, different schemas, and …