Problem definition: Recently, there has been a rapid rise of on-demand ride-hailing
platforms, such as Uber and Didi, which allow passengers with smartphones to submit trip …

Developers use Machine Learning (ML) platforms to train ML models and then deploy these
ML models as web services for inference (prediction). A key challenge for platform providers …

One of the key challenges for improving efficiency in warehouse scale computers (WSCs) is
to improve server utilization while guaranteeing the quality of service (QoS) of latency …

Recently, there has been an explosive growth in Internet services, greatly increasing the
importance of data center systems. Applications served from “the cloud” are driving data …

We consider an m server system in which each server can service at most one update
packet at a time. The system designer controls (1) scheduling-the order in which the packets …

Cloud providers need to size their systems to determine the right amount of resources to
allocate as a function of customer's needs so as to meet their SLAs (Service Level …

Specialization of datacenter resources brings performance and energy improvements in
response to the growing scale and diversity of cloud applications. Yet heterogeneous …

Queueing delays are ubiquitous in many domains, including computer systems, service
systems, communication networks, supply chains, and transportation. Queueing and …

Ride-hailing systems with electric autonomous vehicles are recognized as a next-generation
development to ease congestion, reduce costs and carbon emissions. In this paper, we …

Cloud data centers are widely employed to offer reliable cloud services. However, low
resource utilization and high power consumption have been great challenges for cloud …