Cloud storage optimizes for scalability and availability—edge storage must also handle real-time constraints like GDPR, hardware specs, and data collocation. CATER delivers optimal placement with 23% fewer nodes, proven on Apache Ozone in real-world edge scenarios. 🌟 Follow us on…
Edge storage systems must minimize active nodes while respecting collocation, hardware, and privacy constraints. Our CATER framework achieves this with a hybrid optimization-heuristic approach, reducing energy consumption and data movement by up to 61%. 🌟 Follow us on LinkedIn! …
Traditional distributed storage systems ignore edge-specific constraints—like data sovereignty, hardware proximity, and privacy. CATER changes that, using integer linear programming and heuristics to place data optimally. Tested on Apache Ozone, it cuts active nodes by 23% while meeting all constraints.…
Edge computing demands dynamic, constraint-aware data placement. CATER, our policy-driven framework, integrates with Apache Ozone to optimize storage while respecting GDPR, hardware compatibility, and collocation restrictions. The result? 23% fewer active nodes and 100% constraint compliance. 🌟 Follow us on…
Swapping TCP/IP for RDMA in GVirtuS didn’t just improve speed—it transformed GPGPU remoting. With Mellanox Infiniband, we slashed SAXPY execution time by 82% and Matrix Multiplication by 55%. The secret? Eliminating system calls and leveraging pre-registered memory. 🌟 Follow us…
RDMA’s memory registration overhead can negate its performance benefits. Our optimized GVirtuS RDMA communicator uses pre-registered buffers and polling-based work completion, cutting context switches by 98% and boosting Matrix Multiplication speed by 5.5x over TCP. 🌟 Follow us on LinkedIn!…
GVirtuS isn’t just another virtualization tool—it’s a vendor-agnostic, plug-in framework for CUDA API interception and GPGPU remoting. With RDMA over Infiniband, we achieved 55% faster performance than TCP on Ethernet. Open-source, flexible, and future-proof. #GPGPU #Virtualization 🌟 Follow us on…
Traditional TCP/IP communication in GPGPU virtualization suffers from high context switch overhead. Our RDMA communicator for GVirtuS reduces voluntary context switches by 90%, slashing execution time for Matrix Multiplication and SAXPY algorithms. The future of low-latency HPC is here. 🌟…
Hardware virtualization in HPC and cloud computing demands low-latency, high-throughput communication. Our research introduces an RDMA-based communicator for GVirtuS, achieving 35% performance boost over TCP on Infiniband and 55% on Ethernet. Discover how RDMA eliminates context switches, enabling faster, more…
The future of 6G is user-centric, scalable, and efficient. Our research proves that distributed massive MIMO can achieve 96% lower processing complexity with minimal SE loss. Be part of the next wireless revolution. 🌟 Follow us on LinkedIn! Check…
