Multi-tenant data centers (MTDCs) host numerous applications with dominant transport layer
protocol TCP, hence the performance of TCP matters a lot. However, it is difficult for the …

Serverless computing is increasingly used for data-processing applications in both science
and business domains. At the core of serverless data-processing systems is the scheduler …

We study a mismatch between the deep learning recommendation models' flat architecture,
common distributedtraining paradigm and hierarchical data center topology. To address the …

Performance of collective communication is critical for distributed systems. Using libraries to
implement collective communication algorithms is not a good fit for a multi-tenant cloud …

The emerging machine learning paradigm of decentralized federated learning (DFL) has the
promise of greatly boosting the deployment of artificial intelligence (AI) by directly learning …

Performance Isolation in Multi-Tenant Cloud Data Centers (MTCDCs) consists of a set of
mechanisms to make sure tenants' use of resources does not impact other tenants. In this …

Intra-host networks, including heterogeneous devices and interconnect fabrics, have
become increasingly complex and crucial. However, intra-host networks today do not …

Sudden changes in the applications and events in the network are often related. Many of the
datacenter applications go through sudden state changes (such as a query-response in …