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Patricia Sagmeister

Publications and source records attributed to Patricia Sagmeister.

2 recordsLinked to original sources

Deep Tech to Space: Space Data Centers and AI Revolution at the Edge

Dramatic cost reductions driven by private sector innovations have led to a rapid increase in the number of satellites in orbit and a corresponding surge in space-generated data. As this trend continues, transmitting large volumes of data to Earth for processing may become increasingly costly and challenging due to potential space-to-Earth link congestion and increased latency. Moreover, traditional ground station networks may face difficulties accommodating growing data flows and workloads because of capacity constraints, complex scheduling logistics, and restricted visibility windows, which can limit scalability. Space data centers (SDCs) -- software-driven, multi-tenant artificial intelligence-based service platforms capable of processing data in orbit to generate actionable insights for client satellites and ground users -- represent a promising approach to address these challenges. This article presents the architecture of a low Earth orbit SDC satellite constellation, considering orbital design, inter-satellite links and network topology, computational resource organization, and software service orchestration. We analyze the potential technical feasibility and economic viability of SDCs using forecasting models informed by technology roadmaps and illustrate the concept through Earth observation and lunar exploration use cases.

cs.DC↗

Scalable Attestation of Virtualized Execution Environments in Hybrid- and Multi-Cloud

Existing attestation mechanisms lack scalability and support for heterogeneous virtual execution environments (VEEs), such as virtual machines and containers executed inside or outside hardware isolation on different vendors' hardware in clouds managed by various organizations. To overcome these limitations, hardware vendors and cloud providers implement proprietary mechanisms (Intel DCAP, Amazon NitroTPM, Google Titan) to support their offerings. However, due to their plurality, the attestation becomes cumbersome because it increases maintenance and integration costs and reduces portability required in hybrid- and multi-cloud deployments. We introduce WAWEL, a framework that enables scalable attestation of heterogeneous VEEs. WAWEL can be plugged into existing hardware-specific attestation mechanisms, offering a unified interface. WAWEL supports the widely adopted trusted platform module (TPM) attestation standard. We implemented a prototype and integrated it with three different VEEs. It supports runtime integrity attestation with Linux integrity measurement architecture (IMA) and legacy applications requiring zero-code changes. The evaluation demonstrated that the WAWEL prototype achieves very good performance and scalability despite the indirections between the VEE and hardware root of trust.

cs.CR↗