Scheduling plays a pivotal role in cloud computing systems. Designing an efficient
scheduler is a challenging task. The challenge comes from several aspects, including the …

Deep learning workloads are common in today's production clusters due to the proliferation
of deep learning driven AI services (eg, speech recognition, machine translation). A deep …

We describe the design and implementation of Protean--the Microsoft Azure service
responsible for allocating Virtual Machines (VMs) to millions of servers around the globe. A …

Centralized datacenter schedulers can make high-quality placement decisions when
scheduling tasks in a cluster. Today, however, high-quality placements come at the cost of …

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 …

Machine learning (ML) has become the de-facto approach for various scientific domains
such as computer vision and natural language processing. Despite recent breakthroughs …

Datacenters are witnessing a rapid surge in the adoption of serverless functions for
microservices-based applications. A vast majority of these microservices typically span less …

Six years ago, Google released an invaluable set of scheduler logs which has already been
used in more than 450 publications. We find that the scarcity of other data sources, however …

The growth and development of scientific applications have demanded the creation of
efficient resource management systems. Resource provisioning and scheduling are two …

Tail latency is of great importance in user-facing web services. However, maintaining low tail
latency is challenging, because a single request to a web application server results in …