Effectively leveraging fast networking and storage hardware for distributed data processing
remains challenging. Often the hardware integration takes place too low in the stack, and as …

Managed languages such as Java and Scala are prevalently used in development of large-
scale distributed systems. Under the managed runtime, when performing data transfer …

Atomic multicast is a group communication abstraction useful in the design of highly
available and scalable systems. It allows messages to be addressed to a subset of the …

Remote Procedure Call (RPC) has been the cornerstone of distributed systems since the
early 80s. Recently, new classes of large-scale distributed systems running in data centers …

Managed languages such as Java and Scala do not allow developers to directly access
heap objects. As a result, to send on-heap data over the network, it has to be explicitly …

Apache Storm is a scalable fault-tolerant distributed real time stream-processing framework
widely used in big data applications. For distributed data-sensitive applications, low-latency …

A Key-Value SSD (KV-SSD) is a new type of storage device that natively exposes a key-
value interface. In this paper, we leverage KV-SSDs to develop new techniques to remove …

Byzantine fault tolerance (BFT) protocols can mitigate attacks and errors and are
increasingly investigated as consensus protocols in blockchains. However, they are …

Apache Kafka is an open-source distributed publish-subscribe system, which is widely used
in data centers for messaging between applications, log aggregation, and stream …

Distributed DRAM stores have become an attractive option for providing fast data accesses
to analytics applications. To accelerate the performance of these stores, researchers have …