Recent years have witnessed an explosive growth of AI models. The high cost of hosting AI
services on GPUs and their demanding service requirements, make it timely and …

In an era where digital infrastructure increasingly relies on cloud computing, the need for
flexible workload migration across clouds has become crucial. This need is particularly …

As demand for cloud computing in bioinformatics increases, various studies have explored
options for running large-scale workloads with reduced costs, often leveraging spot …

Financial exchanges are migrating to the cloud, but the best-effort nature of the public cloud
is at odds with the stringent latency requirements of exchanges. We present Jasper, a …

Large Language Model (LLM) inference workloads handled by global cloud providers can
include both latency-sensitive and insensitive tasks, creating a diverse range of Service …

As users migrate their analytical workloads to cloud databases, it is becoming just as
important to reduce monetary costs as it is to optimize query runtime. In the cloud, a query is …

The fundamental challenge in computer system design has always been reconciling the
growing demands of applications with the constraints of available hardware. As hardware …

The last decade of computer science has witnessed rapid development in the field of
machine learning (ML). The growing popularity of ML results in increasing number of ML …