Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …

Temporal data, notably time series and spatio-temporal data, are prevalent in real-world
applications. They capture dynamic system measurements and are produced in vast …

Cloud platform provides great flexibility and cost-efficiency for end-users and cloud
operators. However, low resource utilization in modern datacenters brings huge wastes of …

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 …

Datacenters waste significant compute and memory resources today because they lack
resource fungibility: the ability to reassign resources quickly and without disruption. We …

In order to reduce power and energy costs, giant cloud providers now mix online and batch
jobs on the same cluster. Although the co-allocation of such jobs improves machine …

With the rapid growth of cloud computing, efficient operational optimization and resource
scheduling of complex cloud business processes rely on real-time and accurate …

Disaggregated data centers (DCs) can offer high flexibility for resource allocation; hence,
their resource utilization can be significantly improved. However, communications between …

Online cloud services are increasingly deployed as long-running applications (LRAs) in
containers. Placing LRA containers is known to be difficult as they often have sophisticated …

Python-written data analytics applications can be modeled as and compiled into a directed
acyclic graph (DAG) based workflow, where the nodes are fine-grained tasks and the edges …