Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …

Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

Many business cases exploiting big data have been realised in recent years; Twitter,
LinkedIn, and Facebook are examples of companies in the social networking domain. Other …

Approximate computing is claimed to be a powerful knob for alleviating the peak power and
energy-efficiency issues. However, providing a consistent benchmark suit with diverse …

Business-critical workloads--web servers, mail servers, app servers, etc.--are increasingly
hosted in virtualized data enters acting as Infrastructure-as-a-Service clouds (cloud data …

Big data frameworks such as Spark and Hadoop are widely adopted to run analytics jobs in
both research and industry. Cloud offers affordable compute resources which are easier to …

Summary The Internet of Things (IoT) is an emerging technology paradigm where millions of
sensors and actuators help monitor and manage physical, environmental, and human …

Latency-critical applications, common in datacenters, must achieve small and predictable
tail (eg, 95th or 99th percentile) latencies. Their strict performance requirements limit …

The growing popularity of massively accessed Web applications that store and analyze
large amounts of data, being Facebook, Twitter and Google Search some prominent …