The Internet of Things (IoT) envisions a world-wide, interconnected network of smart
physical entities. These physical entities generate a large amount of data in operation, and …

Advances in Web technology and the proliferation of mobile devices and sensors connected
to the Internet have resulted in immense processing and storage requirements. Cloud …

We live in an increasingly interconnected world, with many organizations operating across
countries or even continents. To serve their global user base, organizations are replacing …

Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

Scalability is one of the main roadblocks to business adoption of blockchain systems.
Despite recent intensive research on using sharding techniques to enhance the scalability of …

Hekaton is a new database engine optimized for memory resident data and OLTP
workloads. Hekaton is fully integrated into SQL Server; it is not a separate system. To take …

RAMCloud is a storage system that provides low-latency access to large-scale datasets. To
achieve low latency, RAMCloud stores all data in DRAM at all times. To support large …

Main memory capacities have grown up to a point where most databases fit into RAM. For
main-memory database systems, index structure performance is a critical bottleneck …

The two areas of online transaction processing (OLTP) and online analytical processing
(OLAP) present different challenges for database architectures. Currently, customers with …

We present Masstree, a fast key-value database designed for SMP machines. Masstree
keeps all data in memory. Its main data structure is a trie-like concatenation of B+-trees …