Continuous integration enables the development of microservices-based applications using
container virtualization technology. Container orchestration systems such as Kubernetes …

Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …

With the rapid development of autonomous driving technologies, a vast array of autonomous
driving algorithms and platforms have emerged. These algorithms and platforms are usually …

Public cloud providers seek to meet stringent performance requirements and low hardware
cost. A key driver of performance and cost is main memory. Memory pooling promises to …

Despite existing work in machine learning inference serving, ease-of-use and cost efficiency
remain challenges at large scales. Developers must manually search through thousands of …

We introduce Gandiva, a new cluster scheduling framework that utilizes domain-specific
knowledge to improve latency and efficiency of training deep learning models in a GPU …

In many public and private Cloud systems, users need to specify a limit for the amount of
resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits …

Modern clouds depend crucially on an extensible ecosystem of thousands of controllers,
each managing critical systems (eg, a ZooKeeper cluster). A controller continuously …

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 …

Video analytics applications use edge compute servers for processing videos. Compressed
models that are deployed on the edge servers for inference suffer from data drift where the …