
Explore AWS logging with CloudTrail and CloudWatch, understanding their roles in threat detection and how to protect logs from potential hackers to ensure effective security monitoring.

Innovative flash cache design reduces writes by 12.5×, extending device lifespan and decreasing carbon emissions by 33%. Explores WREN interfaces for sustainable datacenter storage solutions.

Innovative protocol for capturing partial snapshots in distributed cloud services, ensuring causal consistency without disrupting operations. Leverages load balancers for minimal changes and near-zero overhead.

Intelligent global scheduling system for ML training workloads across datacenters, optimizing resource utilization and eliminating regional overload through innovative design principles.

Explores hardware-managed memory tiering with CXL, introducing Intel® Flat Memory Mode and Memstrata allocator to optimize performance and reduce contention in virtualized cloud environments.

Explore Meta's ServiceLab platform for detecting minute performance regressions in large-scale systems, addressing challenges in noisy cloud environments through statistical analysis and machine factor studies.

Innovative cloud-scale network function service leveraging elastic compute for massive traffic and diverse requests. Achieves 100Gbps bandwidth and scales to millions of connections within seconds.

Innovative load balancing scheme using QUIC and Direct Server Return to enhance cloud service performance, increasing request processing capacity and significantly reducing latency in high-load scenarios.

Proactive validation system enhancing cloud AI infrastructure reliability by mitigating hidden degradation, featuring comprehensive benchmarks and intelligent component evaluation for optimal performance.

Innovative hybrid cloud scheduler maximizing cluster utilization, reducing cloud costs by 54-91% while minimizing job completion time impact through dynamic waiting time control and configurable resource management.

Innovative OS scheduler for serverless functions, combining SRPT and proportional-share scheduling to optimize performance of short-lived tasks while preventing starvation of longer functions.

Innovative SSD failure prediction scheme using mutation similarity for data centers. Improves precision and recall, enables early rating and progressive diagnosis for enhanced storage reliability.

Innovative system enabling high-density mobile cloud gaming on SoC Clusters through efficient resource partitioning and cross-SoC offloading, increasing game density by 4.5x while maintaining performance.

Innovative approach for secure and efficient maintenance of Confidential Virtual Machines, introducing Confidential Procedure Calls to enhance performance, security, and flexibility in cloud computing environments.

Innovative video surveillance system reducing data sent to cloud by 22% while maintaining 92% detection accuracy. Utilizes tile sampling for efficient traffic monitoring on low-cost edge devices.

Explore ByteDance's PCDN+ system, enhancing video content delivery with cost-efficient edge resources. Learn about its centralized/decentralized framework, improved resource utilization, and higher service speeds.

Innovative system PASS leverages persistent memory for efficient MicroVM SnapStart execution, reducing execution time and doubling concurrency compared to existing solutions.

Innovative edge server design using mobile SoCs for improved energy efficiency in cloud gaming, video transcoding, and deep learning inference, with insights on performance and cost-effectiveness.

Innovative serverless platform REWIND enhances security and efficiency by resetting containers, using kernel-level snapshots, and optimizing memory usage, improving performance while maintaining data isolation between function requests.

Innovative system for detecting and diagnosing application-network anomalies in large-scale cloud environments, using TCP retransmission metrics for efficient, accurate, and timely issue resolution.

Innovative strategy for optimizing video feed streaming using knowledge graphs to predict content popularity and improve resource allocation, resulting in reduced bandwidth costs and faster download speeds.