To mitigate climate change, we must reduce carbon emissions from hyperscale cloud
computing. We find that cloud compute servers cause the majority of emissions in a general …

The global scale and challenging requirements of modern cloud applications have led to the
development of complex, widely distributed, service-oriented applications. One enabler of …

The growing adoption of microservice architectures (MSAs) has led to major research and
development efforts to address their challenges and improve their performance, reliability …

Deep neural networks (DNNs) have been widely adopted for various mobile inference tasks,
yet their ever-increasing computational demands are hindering their deployment on …

User-facing applications often experience excessive loads and are shifting towards the
microservice architecture. To fully utilize heterogeneous resources, current datacenters have …

To fully utilize computing resources, cloud providers such as Google and Alibaba choose to
co-locate online services with batch processing applications in their data centers. By …

Current microservice applications always meet with load and call graph dynamics. These
dynamics can easily lead to inappropriate resource allocation for microservices, and further …

Cloud-native applications using microservice architectures are rapidly replacing traditional
monolithic applications. To meet end-to-end QoS guarantees and enhance user experience …

Microservice architecture has become a driving force in enhancing the modularity and
scalability of web applications, as evidenced by the Alipay platform's operational success …

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