In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …

Interactive services often have large-scale parallel implementations. To deliver fast
responses, the median and tail latencies of a service's components must be low. In this …

The high complexity and dynamics of the microservice architecture make its application
diagnosis extremely challenging. Static troubleshooting approaches may fail to obtain …

Microservices enable a fine-grained control over the cloud applications that they constitute
and thus became widely-used in the industry. Each microservice implements its own …

This paper presents a self-adaptive root cause diagnosis framework, named MS-Rank, to
analyze multiple metrics collected from micro-service architecture. MS-Rank decomposes …

Loosely-coupled and lightweight microservices running in containers are likely to form
complex execution dependencies inside the system. The execution dependency arises …

Numerous auto-scaling strategies have been proposed in the past few years for improving
various Quality of Service (QoS) indicators of cloud applications, for example, response time …

Nowadays, increasing business applications running in the cloud are embracing the
microservice architecture. This article presents the challenges and implications of …

Managing tail latency is a primary challenge in designing large-scale Internet services.
Queuing is a major contributor to end-to-end tail latency, wherein nominal tasks are …

Today's datacenters demand high-performance, energy-efficient software data planes,
which are widely used in many areas including fast network packet processing, network …