Datacenters provide cost-effective and flexible access to scalable compute and storage
resources necessary for today's cloud computing needs. A typical datacenter is made up of …

Applications in cloud platforms motivate the study of efficient load balancing under job-
server constraints and server heterogeneity. In this paper, we study load balancing on a …

The collaborative edge and cloud computing system has emerged as a promising solution to
fulfill the unprecedented high requirements of 5G application scenarios. Due to vendor …

This state-of-the-art account unifies material developed in journal articles over the last 35
years, with two central thrusts: It describes a broad class of system models that the authors …

We consider the load balancing problem in large-scale heterogeneous systems with
multiple dispatchers. We introduce a general framework called Local-Estimation-Driven …

By integrating edge computing with parallel computing, distributed edge computing (DEC)
makes use of distributed devices in edge networks to perform computing in parallel, which …

We consider a variation of the supermarket model in which the servers can communicate
with their neighbors and where the neighborhood relationships are described in terms of a …

By combing edge computing and parallel computing, distributed edge computing has
emerged as a new paradigm to accelerate computation at the edge. Considering the …

By combining edge computing and parallel computing, distributed edge computing has
emerged as a new paradigm to exploit the booming IoT devices at the edge. To accelerate …

Dynamic affinity scheduling has been an open problem for nearly three decades. The
problem is to dynamically schedule multi-type tasks to multi-skilled servers such that the …