Results 131 to 140 of about 4,861 (263)
Network Improvement and Evaluation in Datacenters and Chip-Multiprocessors
Datacenters are vitally important in the information era in which we currently live. Datacenters are the key enabler of cloud computing, and host many important applications including web service and machine learning.
Dai, Wenbo
core +1 more source
Network-Application Co-design for Efficient Datacenters
Modern datacenters contain hundreds of thousands of servers and high-speed networks to run diverse applications. However, these datacenters suffer from low resource utilization and poor software performance that cannot be improved simply by relying on ...
Zhou, Yang
core
Semantics-Guided Systems Foundations for Disaggregated Datacenters [PDF]
Resource disaggregation has emerged as a promising solution to enhance both resource utilization and management efficiency in datacenters. Existing disaggregation solutions have largely centered on generic, low-level system optimizations such as ...
Ma, Haoran
core
Operation of Datacenters as Virtual Power Plants
Datacenters are becoming a significant energy consumer and ideal candidates to operate as virtual power plants (VPP). The VPP is a software system which effectively connects, coordinates and monitors decentralized power-generating sites, a storage ...
Awasthi, Shekhar R.
core
Multi-Dimensional Detection in Future Hyper-Scale Datacenters [PDF]
Extraordinary demand of internet services is challenging the growth capacity of datacenters and their networks. In particular, interconnect suppliers will need to explore radical solutions in order to keep up with bandwidth expectations from service ...
Echeverri, Santiago
core
M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer. [PDF]
Borghesi A +11 more
europepmc +1 more source
Quality of Service Aware Orchestration for Cloud-Edge Continuum Applications. [PDF]
Orive A +4 more
europepmc +1 more source
An Efficient Trust-Aware Task Scheduling Algorithm in Cloud Computing Using Firefly Optimization. [PDF]
Mangalampalli S, Karri GR, Elngar AA.
europepmc +1 more source
Deep Learning Workload Scheduling in GPU Datacenters: A Survey
Zhisheng Ye +7 more
semanticscholar +1 more source
Many different institutions in Groningen perceive the arrival of Google’s datacenter in Eemshaven in Groningen as a revival of regional economic development.
Giessen van der, Adriaan
core

