Serverless computing separates function execution from state management. Simple retry-
based fault tolerance might corrupt the shared state with duplicate updates. Existing …

Serverless computing is an innovative method for the production and distribution of software
since it does not rely on a centralised server management infrastructure. As a result of this …

Serverless platforms essentially face a tradeoff between container startup time and
provisioned concurrency (ie, cached instances), which is further exaggerated by the frequent …

Current serverless platforms struggle to optimize resource utilization due to their dynamic
and fine-grained nature. Conventional techniques like overcommitment and autoscaling fall …

Function as a Service (FaaS) and the associated serverless computing paradigm alleviates
users from resource management and allows cloud platforms to optimize system …

Serverless computing is renowned for its computation elasticity, yet its full potential is often
constrained by the requirement for functions to operate within local and dedicated …

Serverless computing has become a popular cloud computing paradigm. By default, when a
serverless function fails, the serverless platform re-executes the function to tolerate the …

This work introduces ECOLIFE, the first carbon-aware serverless function scheduler to co-
optimize carbon footprint and performance. ECOLIFE builds on the key insight of intelligently …

The wide adoption of Cloud Native shifts the boundary between cloud users and CSPs
(Cloud Service Providers) from VM-based infrastructure to container-based applications …

With the slowing of Moore's law and decline of Dennard scaling, computing systems
increasingly rely on specialized hardware accelerators in addition to general-purpose …