Serverless computing: state-of-the-art, challenges and opportunities
Serverless computing is growing in popularity by virtue of its lightweight and simplicity of
management. It achieves these merits by reducing the granularity of the computing unit to …
management. It achieves these merits by reducing the granularity of the computing unit to …
Spright: Extracting the server from serverless computing! high-performance ebpf-based event-driven, shared-memory processing
Serverless computing promises an efficient, low-cost compute capability in cloud
environments. However, existing solutions, epitomized by open-source platforms such as …
environments. However, existing solutions, epitomized by open-source platforms such as …
Edindex: Enabling fast data queries in edge storage systems
In an edge storage system, popular data can be stored on edge servers to enable low-
latency data retrieval for nearby users. Suffering from constrained storage capacities, edge …
latency data retrieval for nearby users. Suffering from constrained storage capacities, edge …
Auto-scaling mechanisms in serverless computing: A comprehensive review
M Tari, M Ghobaei-Arani, J Pouramini… - Computer Science …, 2024 - Elsevier
The auto-scaling feature is fundamental to serverless computing, and it automatically allows
applications to scale as needed. Hence, this allows applications to be configured to adapt to …
applications to scale as needed. Hence, this allows applications to be configured to adapt to …
Deepscaling: microservices autoscaling for stable cpu utilization in large scale cloud systems
Cloud service providers conservatively provision excessive resources to ensure service
level objectives (SLOs) are met. They often set lower CPU utilization targets to ensure …
level objectives (SLOs) are met. They often set lower CPU utilization targets to ensure …
Eavs: Edge-assisted adaptive video streaming with fine-grained serverless pipelines
Recent years have witnessed video streaming gradually evolve into one of the most popular
Internet applications. With the rapidly growing personalized demand for real-time video …
Internet applications. With the rapidly growing personalized demand for real-time video …
SIMPPO: A scalable and incremental online learning framework for serverless resource management
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 (eg …
it is not server-" less" and comes at the cost of more complex infrastructure management (eg …
Optimized resource usage with hybrid auto-scaling system for knative serverless edge computing
In the most popular serverless platform-Knative, dynamic resource allocation is implemented
using horizontal auto-scaling algorithms to create or delete service instances based on …
using horizontal auto-scaling algorithms to create or delete service instances based on …
AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers
Various audio and video applications rely on multiple deep neural network (DNN) models
deployed on edge servers to conduct inference with ms-level latency service-level …
deployed on edge servers to conduct inference with ms-level latency service-level …
DAG scheduling in mobile edge computing
In Mobile Edge Computing, edge servers have limited storage and computing resources that
can only support a small number of functions. Meanwhile, mobile applications are becoming …
can only support a small number of functions. Meanwhile, mobile applications are becoming …