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Cutting-edge research in datacenter networking focusing on concepts like Edge-Queued Datagram Service (EQDS), TCP congestion control, network abstractions, and traffic handling mechanisms. Collaboration between prestigious institutions and experts to enhance network performance and efficiency.

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Explore CherryPick, a technique for tracing packet trajectory in software-defined datacenter networks. It helps in debugging by ensuring data plane conforms with control plane policies, localizing network problems, and enabling packet trajectory tracing challenges like non-shortest paths. CherryPick

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Challenges in diagnosing large, complex applications within data centers are addressed in this collaborative work. The need for scalable tools like the SNAP profiler is highlighted to efficiently monitor and improve network performance.

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Datacenter networks face challenges with network congestion affecting both throughput-sensitive elephants and latency-sensitive mice traffic. This paper discusses the problem, existing traffic load balancing schemes, and proposes an edge-based solution called Presto to address network congestion pro

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Clock-RSM introduces a low-latency approach to inter-datacenter state machine replication by utilizing loosely synchronized physical clocks. This method ensures strong consistency, fault tolerance, and fast failover in a geo-replication environment. By overlapping ordering and replication using phys

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Massive growth of big data calls for efficient energy management in datacenters hosting online data-intensive applications. Traditional energy management methods fall short due to the interactive nature of these applications and strict service-level agreements. Leveraging network variability, TimeTh

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The content discusses datacenter organization, frequent failures, and the prevalence of datacenters in modern computing. It details the typical first-year failures in a new datacenter and highlights the number of servers per datacenter and the shift towards datacenter-centric computing.

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Exploring resource overcommitment in datacenters, this study delves into the benefits of overcommitting resources beyond physical capacity to increase utilization and reduce costs. With a focus on peak prediction-driven strategies and setting the right level of overcommitment, the research highlight

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Explore the strategies for deploying services across multiple datacenters to reduce end-user latency. Topics include the impact of replication levels, benefits of partial replication, and achieving low latency with strong guarantees like causal consistency and read-only/write-only transactions.

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Spanner is a powerful, distributed database developed by Google to manage cross-datacenter replication efficiently. Offering general-purpose transactions and SQL query language, Spanner ensures externally consistent reads and writes, making it ideal for critical applications like Google's Ad data. W

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Geo-distributed applications are on the rise, leading to the need for efficient cross-datacenter networks. These networks face challenges due to heterogeneous components, varying RTT in intra- and inter-DC traffic, and conflicting requirements of existing transport protocols. Current solutions like

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