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Skyplane: Optimizing transfer cost and throughput using {Cloud-Aware} overlays
Cloud applications are increasingly distributing data across multiple regions and cloud
providers. Unfortunately, widearea bulk data transfers are often slow, bottlenecking …
providers. Unfortunately, widearea bulk data transfers are often slow, bottlenecking …
Teal: Learning-accelerated optimization of wan traffic engineering
The rapid expansion of global cloud wide-area networks (WANs) has posed a challenge for
commercial optimization engines to efficiently solve network traffic engineering (TE) …
commercial optimization engines to efficiently solve network traffic engineering (TE) …
Decentralized cloud wide-area network traffic engineering with {BLASTSHIELD}
Cloud networks are increasingly managed by centralized software defined controllers.
Centralized traffic engineering controllers achieve higher network throughput than …
Centralized traffic engineering controllers achieve higher network throughput than …
Enhancing Resource Management of the World's Largest {PCDN} System for {On-Demand} Video Streaming
The rapid growth of video services has led to the significant requirement for efficient content
delivery. Traditional approaches mainly rely on Content Delivery Networks (CDNs), which …
delivery. Traditional approaches mainly rely on Content Delivery Networks (CDNs), which …
ELASTIC: edge workload forecasting based on collaborative cloud-edge deep learning
With the rapid development of edge computing in the post-COVID19 pandemic period,
precise workload forecasting is considered the basis for making full use of the edge limited …
precise workload forecasting is considered the basis for making full use of the edge limited …
Aggcast: Practical cost-effective scheduling for large-scale cloud-edge crowdsourced live streaming
Conventional wisdom claims that in order to improve viewer engagement, the cloud-edge
providers should serve the viewers with the nearest edge nodes, however, we show that …
providers should serve the viewers with the nearest edge nodes, however, we show that …
{AutoSketch}: Automatic {Sketch-Oriented} Compiler for Query-driven Network Telemetry
Recent network telemetry witnesses tremendous progress in two directions: query-driven
telemetry that targets expressiveness as the primary goal, and sketch-based algorithms that …
telemetry that targets expressiveness as the primary goal, and sketch-based algorithms that …
Painter: Ingress traffic engineering and routing for enterprise cloud networks
Enterprises increasingly use public cloud services for critical business needs. However,
Internet protocols force clouds to contend with a lack of control, reducing the speed at which …
Internet protocols force clouds to contend with a lack of control, reducing the speed at which …
Cost-effective capacity provisioning in wide area networks with shoofly
In this work we propose Shoofly, a network design tool that minimizes hardware costs of
provisioning long-haul capacity by optically bypassing network hops where conversion of …
provisioning long-haul capacity by optically bypassing network hops where conversion of …
{OneWAN} is better than two: Unifying a split {WAN} architecture
Many large cloud providers operate two wide-area networks (WANs)—a software-defined
WAN to carry inter-datacenter traffic and a standards-based WAN for Internet traffic. Our …
WAN to carry inter-datacenter traffic and a standards-based WAN for Internet traffic. Our …