20 results for “Cross-layer Heterogeneous System (XHS)”
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Yuchen Fan, Minghong Sun, Jikui Ma, Yunpeng Xu +18 more
The paper presents CHASE, an application-driven framework that explores physically feasible Cross-layer Heterogeneous System architectures for executing workloads with diverse requirements.
This paper introduces Hema, a formally-verified protocol for mutual attestation of Trusted Application (TA) instances running on the same or different Trusted Execution Environments (TEEs).
The paper proposes a novel cross-layer authentication framework for healthcare information exchange that combines initial PKI-based verification with continuous, lightweight physical layer feature ext…
The paper introduces KernelScript, a DSL for eBPF that types maps, program handles, and execution domains to unify cross-boundary relationships, prevent bugs at compile time, and reduce diff size.
The paper proposes n-VM, a novel Layer-1 architecture that unifies multiple heterogeneous virtual machines (VMs) onto a shared consensus and state layer, solving cross-chain fragmentation issues.
This paper introduces Selective Field Transmission (SFT), a mechanism that dynamically adapts transmitted message components to each receiver's needs in publish-subscribe systems, achieving significan…
This paper proposes a new communication framework, TokCom, for 6G wireless networks where tokens from large language models become the fundamental entities for information exchange.
A middleware solution is proposed for unified semantic and syntactic interoperability in IoT publisher-subscriber framework, using syntax translation and semantic interoperability through a multilayer…
Aquifer is the first system to serve MicroVM snapshots from a hierarchical CXL+RDMA memory pool, achieving 2.2x geometric-mean speedup in end-to-end invocation time over Firecracker.
This paper proposes cross-IP request coalescing to reduce latency in virtualized cloud data centers by submitting multi-device I/O as a single compound request.
Shangyi Shi, Husheng Han, Zhaoxuan Kan, Yinghao Yang +7 more
The paper proposes $HE^2$, a novel communication-light heterogeneous accelerator architecture that significantly improves the efficiency of Fully Homomorphic Encryption (FHE) by optimizing dataflow an…
Shangyi Shi, Husheng Han, Zhaoxuan Kan, Yinghao Yang +7 more
The paper proposes $HE^2$, a novel communication-light heterogeneous accelerator architecture that significantly improves the efficiency of Fully Homomorphic Encryption (FHE) by optimizing dataflow an…
The paper proposes a resource-aware integer linear programming model to optimally allocate monitoring depth across heterogeneous network devices, balancing detection capability against computational a…
The paper empirically analyzes the impact of cross-chain interoperability on DeFi lending protocols, finding that bridge volume significantly affects performance but that increased integrations can si…
TIP introduces a decentralized, declarative protocol that enables flexible IoT interoperability by resolving abstract intents and performing on-the-fly, sandboxed schema adaptation across heterogeneou…
This survey analyzes various novel cross-chain interoperability protocols to provide a comprehensive framework for evaluating their performance and financial impact within the fragmented on-chain fina…
This paper proposes the trans-domain digital twin approach to connect heterogeneous domain twins through aligned shared state, explicit coupling, heterogeneous temporal coordination, joint decision-ma…
Chunmin Xia, Jakub Harbaczewski, Nikhil Dsilva, Julie Raulin +2 more
This paper proposes a distributed architecture for automating and controlling multi-vendor, multi-layer IP over DWDM networks using SDN, enabling end-to-end service lifecycle automation and closed-loo…
Ammar Bhilwarawala, Likhamba Rongmei, Harsh Sharma, Arya Jena +3 more
The paper introduces BRIDGE, a standardized benchmark for cross-domain IoT botnet detection, and TCH-Net, a novel multi-branch network that achieves state-of-the-art generalization performance across…
The ZCube topology, which eliminates path multiplicity and reduces switching hardware, delivers better performance for large model training and inference than traditional multipath datacenter networks…