Serverless Function-as-a-Service (FaaS) offers improved programmability for customers, yet it is not server-"less" and comes at the cost of more complex infrastructure management (e.g., resource provisioning and scheduling) for cloud providers. To …
Reinforcement learning (RL) has gained increasing popularity for resource management in cloud services such as serverless computing. As self-interested users compete for shared resources in a cluster, the multi-tenancy nature of serverless platforms …
Serverless Function-as-a-Service (FaaS) is an emerging cloud computing paradigm that frees application developers from infrastructure management tasks such as resource provisioning and scaling. To reduce the tail latency of functions and improve …
Function-as-a-Service (FaaS) is becoming an increasingly popular cloud-deployment paradigm for serverless computing that frees application developers from managing the infrastructure. At the same time, it allows cloud providers to assert control in …
Last-level cache (LLC) and memory bandwidth partitioning are commonly used in existing work to meet QoS requirements of all co-scheduled latency-critical applications consolidated on a physical server. With the increasing popularity of cloud microservices and Function-as-a-Service paradigm, the number of containers consolidated together increases significantly. However, due to the limitation of hardware features, existing work fails to support such number of applications. To bridge this gap, this project proposes CoCo, coordinated container scheduling with LLC and Memory bandwidth partitioning. Our quantitative evaluation shows that CoCo outperforms no-partitioning and baseline approaches by up to 920% and 9.4% respectively.
Modern user-facing, latency-sensitive web services include numerous distributed, intercommunicating microservices that promise to simplify software development and operation. However, multiplexing compute-resources across microservices is still …
This is a parallel distributed computing framework, which bears similarities with MapReduce/Hadoop. This platform consists of critical services such as an underlying distributed file system and a reliable membership protocol. It's implemented in Java and open-sourced on GitHub.
Cloud computing enables a vast deployment of online services in virtualized infrastructures, making it crucial to provide fast fault-tolerance for virtual machines (VM). Unfortunately, despite much effort, achieving fast and multi-core scalable VM …