Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

Infrastructure-as-a-Service (IaaS) cloud computing offers customers (tenants) a scalable and
economical way to provision virtual machines (VMs) on demand while charging them only …

Cloud applications are increasingly shifting from large monolithic services, to large numbers
of loosely-coupled, specialized microservices. Despite their advantages in terms of …

User-facing, latency-sensitive services, such as websearch, underutilize their computing
resources during daily periods of low traffic. Reusing those resources for other tasks is rarely …

Osmotic computing is a new paradigm to support the efficient execution of Internet of Things
(IoT) services and applications at the network edge. This paradigm is founded on the need …

As much of the world's computing continues to move into the cloud, the overprovisioning of
computing resources to ensure the performance isolation of latency-sensitive tasks, such as …

Network measurement is challenged to fulfill stringent resource requirements in the face of
massive network traffic. While approximate measurement can trade accuracy for resource …

Users of cloud services are presented with a bewildering choice of VM types and the choice
of VM can have significant implications on performance and cost. In this paper we address …

Performance isolation is a key challenge in cloud computing. Unfortunately, Linux has few
defenses against performance interference in shared resources such as processor caches …

This article discusses the main advantages and challenges of adopting microservices in
cloud computing. The microservices architecture allows software developers to build a …