Serverless computing has seen rapid growth due to the ease-of-use and cost-efficiency it
provides. However, function scheduling, a critical component of serverless systems, has …

Cluster schedulers routinely face data-parallel jobs with complex task dependencies
expressed as DAGs (directed acyclic graphs). Understanding DAG structures and runtime …

This paper introduces the concept of size-aware sharding to improve tail latencies for in-
memory key-value stores, and describes its implementation in the Minos key-value store …

Microservice architectures and container technologies are broadly adopted by giant internet
companies to support their web services, which typically have a strict service-level objective …

In the past decade, we have envisioned enormous growth in the data generated by different
sources, ranging from weather sensors and customer purchasing records to Internet of …

To fully utilize computing resources, cloud providers such as Google and Alibaba choose to
co-locate online services with batch processing applications in their data centers. By …

The ability to accurately estimate job runtime properties allows a scheduler to effectively
schedule jobs. State-of-the-art online cluster job schedulers use history-based learning …

The recent trend towards more programmable switching hardware in data centers opens up
new possibilities for distributed applications to leverage in-network computing (INC) …

In today's datacenters, job heterogeneity makes it difficult for schedulers to simultaneously
meet latency requirements and maintain high resource utilization. The state-of-the-art …

With the rapid proliferation of Machine Learning (ML) and Deep learning (DL) applications
running on modern platforms, it is crucial to satisfy application performance requirements …