Results 201 to 210 of about 4,861 (263)
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Power Stabilization for AI Training Datacenters

arXiv.org
Large Artificial Intelligence (AI) training workloads spanning several tens of thousands of GPUs present unique power management challenges. These arise due to the high variability in power consumption during the training. Given the synchronous nature of
Esha Choukse   +49 more
semanticscholar   +1 more source

Surviving switch failures in cloud datacenters

Computer communication review, 2021
Switch failures can hamper access to client services, cause link congestion and blackhole network traffic. In this study, we examine the nature of switch failures in the datacenters of a large commercial cloud provider through the lens of survival theory.
Rachee Singh   +5 more
semanticscholar   +1 more source

Practical Packet Deflection in Datacenters

Proceedings of the ACM on Networking, 2023
Bursts, sudden surges in network utilization, are a significant root cause of packet loss and high latency in datacenters. Packet deflection, re-routing packets that arrive at a local hotspot to neighboring switches, is shown to be a potent countermeasure against bursts.
Sepehr Abdous   +2 more
openaire   +1 more source

Scheduling Jobs across Geo-Distributed Datacenters with Max-Min Fairness

IEEE Transactions on Network Science and Engineering, 2019
It has become routine for large volumes of data to be generated, stored, and processed across geographically distributed datacenters. To run a single data analytic job on such geo-distributed data, recent research proposed to distribute its tasks across ...
Li Chen, Shuhao Liu, Baochun Li
exaly   +2 more sources

Latency Comparison of Cloud Datacenters and Edge Servers

Global Communications Conference, 2020
Edge computing has become a recent approach to bring computing resources closer to the end-user. While offline processing and aggregate data reside in the cloud, edge computing is promoted for latency-critical and bandwidth-hungry tasks.
Batyr Charyyev   +2 more
semanticscholar   +1 more source

An energy, performance efficient resource consolidation scheme for heterogeneous cloud datacenters

Journal of Network and Computer Applications, 2020
Datacenters are the principal electricity consumers for cloud computing that provide an IT backbone for today's business and economy. Numerous studies suggest that most of the servers, in the US datacenters, are idle or less-utilised, making it possible ...
Ayaz Ali Khan   +5 more
semanticscholar   +1 more source

A Truthful and Efficient Incentive Mechanism for Demand Response in Green Datacenters

IEEE Transactions on Parallel and Distributed Systems, 2020
Datacenter demand response is envisioned as a promising tool for mitigating operational stability issues faced by smart grids. It enables significant potentials in peak load reduction and facilitates the incorporation of distributed generation.
Zhi Zhou   +3 more
semanticscholar   +1 more source

Datacenter Efficiency

Proceedings of the 29th ACM on International Conference on Supercomputing, 2015
Over the last 10+ years, large datacenters have benefited from computer technology and physical infrastructure advances that substantially improved their efficiency. However, there is still much room for improvement, as the datacenters' computational resources are often poorly utilized and technology advances are starting to falter.
openaire   +1 more source

Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters

IEEE Transactions on Services Computing, 2019
Energy efficiency has become one of the major concerns for today's cloud datacenters. Dynamic virtual machine (VM) consolidation is a promising approach for improving the resource utilization and energy efficiency of datacenters.
Quanwang Wu   +3 more
semanticscholar   +1 more source

Web-Scale Datacenters

IEEE Internet Computing, 2014
This issue of Internet Computing surveys issues surrounding Web-scale datacenters, particularly in the areas of cloud provisioning as well as networking optimization and configuration. They include workload isolation, recovery from transient server availability, network configuration, virtual networking, and content distribution.
openaire   +1 more source

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