Results 11 to 20 of about 4,861 (263)
IOCost: block IO control for containers in datacenters
Resource isolation is a fundamental requirement in datacenter environments. However, our production experience in Meta's large-scale datacenters shows that existing IO control mechanisms for block storage are inadequate in containerized environments.
Tejun Heo +19 more
core +2 more sources
Controlling P2P-CDN Live Streaming Services at SDN-Enabled Multi-Access Edge Datacenters
Recognizing the shortcomings of current hybrid peer-to-peer (P2P) content-distribution network (CDN) video solutions and the potential of emerging multi-access edge datacenters, we propose a novel P2P-CDN service model that is hosted at software defined ...
Tekalp, A. Murat, Nacakli, Selin
core +2 more sources
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters [PDF]
Technology companies reduce their datacenters’ carbon footprint by investing in renewable energy generation and receiving credits from power purchase agreements.
Bilge Acun +7 more
semanticscholar +1 more source
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters [PDF]
Modern GPU datacenters are critical for delivering Deep Learning (DL) models and services in both the research community and industry. When operating a datacenter, optimization of resource scheduling and management can bring significant financial ...
Qi Hu +4 more
semanticscholar +1 more source
Carbon-Aware Computing for Datacenters [PDF]
The amount of CO$_{2}$ emitted per kilowatt-hour on an electricity grid varies by time of day and substantially varies by location due to the types of generation.
A. Radovanovic +14 more
semanticscholar +1 more source
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision [PDF]
Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU datacenter.
Wei Gao +7 more
semanticscholar +1 more source
TMO: transparent memory offloading in datacenters
The unrelenting growth of the memory needs of emerging datacenter applications, along with ever increasing cost and volatility of DRAM prices, has led to DRAM being a major infrastructure expense.
Johannes Weiner +10 more
semanticscholar +1 more source
Aequitas: admission control for performance-critical RPCs in datacenters
With the increasing popularity of disaggregated storage and microservice architectures, high fan-out and fan-in Remote Procedure Calls (RPCs) now generate most of the traffic in modern datacenters.
Yiwen Zhang +6 more
semanticscholar +1 more source
ABM: active buffer management in datacenters
Today's network devices share buffer across queues to avoid drops during transient congestion and absorb bursts. As the buffer-per-bandwidth-unit in datacenter decreases, the need for optimal buffer utilization becomes more pressing.
Vamsi Addanki +2 more
semanticscholar +1 more source
The ever-expanding scale of cloud datacenters necessitates automated resource provisioning to best meet the requirements of low latency and high energy-efficiency.
Zheyi Chen +4 more
semanticscholar +1 more source

