Incident handling strategy is one key strategy to mitigate risks to the confidentiality, integrity
and availability (CIA) of organisation assets, as well as minimising loss (eg financial …

MapReduce is a framework for processing and managing large-scale datasets in a
distributed cluster, which has been used for applications such as generating search indexes …

The monolithic server model where a server is the unit of deployment, operation, and failure
is meeting its limits in the face of several recent hardware and application trends. To improve …

It is commonly believed that datacenter networking software must sacrifice generality to
attain high performance. The popularity of specialized distributed systems designed …

Over the past one and half years, we have been using RDMA over commodity Ethernet
(RoCEv2) to support some of Microsoft's highly-reliable, latency-sensitive services. This …

We describe the design and implementation of FaRM, a new main memory distributed
computing platform that exploits RDMA to improve both latency and throughput by an order …

Graph processing recently received intensive interests in light of a wide range of needs to
understand relationships. It is well-known for the poor locality and high memory bandwidth …

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 …

This paper describes the design and implementation of HERD, a key-value system designed
to make the best use of an RDMA network. Unlike prior RDMA-based key-value systems …

Many" big data" applications must act on data in real time. Running these applications at
ever-larger scales requires parallel platforms that automatically handle faults and stragglers …