We consider an access link carrying data generated by streaming and elastic services
requested by fixed or mobile end users, and subjected to an admission control (AC) …

Scheduling theory is a key tool for reducing latency (ie response time) in queueing systems.
Scheduling, ie choosing the order in which to serve jobs, can reduce response time by an …

Steady-State Convergence of the Continuous-Time JSQ System with General Distributions in
Heavy Traffic Page 1 Steady-State Convergence of the Continuous-Time JSQ System with …

The problem of online scheduling of multi-server jobs is considered, where there are a total
of K servers, and each job requires concurrent service from multiple servers for it to be …

Modern data centers feature an extensive array of cores that handle quite a diverse range of
jobs. Recent traces, shared by leading cloud data center enterprises like Google and …

Motivated by engineering applications such as resource allocation in networks and
inventory systems, we consider average-reward Reinforcement Learning with unbounded …

Almost all queueing analysis assumes iid arrivals and service. In reality, arrival and service
rates fluctuate over time. In particular, it is common for real systems to intermittently …

Modern cloud computing workloads are composed of multiresource jobs that require a
variety of computational resources in order to run, such as CPU cores, memory, disk space …

Internet service providers (ISPs) have a variety of quality attributes that determine their
attractiveness for data transmission, ranging from quality-of-service metrics such as jitter to …

Multiserver-job (MSJ) systems, where jobs need to run concurrently across many servers,
are increasingly common in practice. The default service ordering in many settings is First …