the proceedings contain 49 papers. the topics discussed include: Eiffel: efficient and flexible software packet scheduling;size-aware sharding for improving tail latencies in in-memory key-value stores;JANUS: fast and ...
ISBN:
(纸本)9781931971492
the proceedings contain 49 papers. the topics discussed include: Eiffel: efficient and flexible software packet scheduling;size-aware sharding for improving tail latencies in in-memory key-value stores;JANUS: fast and flexible deep learning via symbolic graph execution of imperative programs;understanding lifecycle management complexity of datacenter topologies;towards programming the radio environment with large arrays of inexpensive antennas;and confluo: distributed monitoring and diagnosis stack for high-speed networks.
the proceedings contain 96 papers. the topics discussed include: understanding RDMA microarchitecture resources for performance isolation;transparent GPU sharing in container clouds for deep learning workloads;Zeus: u...
ISBN:
(纸本)9781939133335
the proceedings contain 96 papers. the topics discussed include: understanding RDMA microarchitecture resources for performance isolation;transparent GPU sharing in container clouds for deep learning workloads;Zeus: understanding and optimizing GPU energy consumption of DNN training;Canvas: isolated and adaptive swapping for multi-applications on remote memory;Hermit: low-latency, high-throughput, and transparent remote memory via feedback-directed asynchrony;understanding the impact of host networking elements on traffic bursts;Poseidon: efficient, robust, and practical datacenter CC via deployable INT;Hydra: serialization-free network ordering for strongly consistent distributed applications;the benefit of hindsight: tracing edge-cases in distributed systems;and Waverunner: an elegant approach to hardware acceleration of state machine replication.
the proceedings contain 78 papers. the topics discussed include: efficient scheduling policies for microsecond-scale tasks;a case for task sampling based learning for cluster job scheduling;starlight: fast container p...
ISBN:
(纸本)9781939133274
the proceedings contain 78 papers. the topics discussed include: efficient scheduling policies for microsecond-scale tasks;a case for task sampling based learning for cluster job scheduling;starlight: fast container provisioning on the edge and over the WAN;swift: adaptive video streaming with layered neural codecs;Ekya: continuous learning of video analytics models on edge compute servers;modular switch programming under resource constraints;Privid: practical, privacy-preserving video analytics queries;spectrum: high-bandwidth anonymous broadcast;closed-loop network performance monitoring and diagnosis with SpiderMon;Cetus: releasing P4 programmers from the chore of trial and error compiling;exploiting digital micro-mirror devices for ambient light communication;learning to communicate effectively between battery-free devices;and Saiyan: design and implementation of a low-power demodulator for LoRa backscatter systems.
the proceedings contain 59 papers. the topics discussed include: accessing cloud with disaggregated software-defined router;CodedBulk: inter-datacenter bulk transfers using network coding;twenty years after: hierarchi...
ISBN:
(纸本)9781939133212
the proceedings contain 59 papers. the topics discussed include: accessing cloud with disaggregated software-defined router;CodedBulk: inter-datacenter bulk transfers using network coding;twenty years after: hierarchical core-stateless fair queuing;breaking the transience-equilibrium nexus: a new approach to datacenter packet transport;Orion: Google’s software-defined networking control plane;finding invariants of distributed systems: it’s a small (enough) world after all;Avenir: managing data plane diversity with control plane synthesis;contracting wide-area network topologies to solve flow problems quickly;cost-effective cloud edge traffic engineering with CASCARA;and a social network under social distancing: risk-driven backbone management during COVID-19 and beyond.
the proceedings contain 49 papers. the topics discussed include: Owl: scale and flexibility in distribution of hot content;BlockFlex: enabling storage harvesting with software-defined flash in modern cloud platforms;M...
ISBN:
(纸本)9781939133281
the proceedings contain 49 papers. the topics discussed include: Owl: scale and flexibility in distribution of hot content;BlockFlex: enabling storage harvesting with software-defined flash in modern cloud platforms;MemLiner: lining up tracing and application for a far-memory-friendly runtime;demystifying and checking silent semantic violations in large distributed systems;cancellation in systems: an empirical study of task cancellation patterns and failures;automatic reliability testing for cluster management controllers;ListDB: union of write-ahead logs and persistent SkipLists for incremental checkpointing on persistent memory;Durinn: adversarial memory and thread interleaving for detecting durable linearizability bugs;Walle: an end-to-end, general-purpose, and large-scale production system for device-cloud collaborative machine learning;and unity: accelerating DNN training through joint optimization of algebraic transformations and parallelization.
the proceedings contain 65 papers. the topics discussed include: expanding across time to deliver bandwidth efficiency and low latency;re-architecting congestion management in lossless Ethernet;measuring congestion in...
ISBN:
(纸本)9781939133137
the proceedings contain 65 papers. the topics discussed include: expanding across time to deliver bandwidth efficiency and low latency;re-architecting congestion management in lossless Ethernet;measuring congestion in high-performance datacenter interconnects;SP-PIFO: approximating push-in first-out behaviors using strict-priority queues;FileMR: rethinking RDMA networking for scalable persistent memory;NetTLP: a development platform for PCIe devices in software interacting with hardware;near-optimal latency versus cost tradeoffs in geo-distributed storage;NetSMC: a custom symbolic model checker for stateful network verification;and automated verification of customizable middlebox properties with gravel.
the increasing use of sensitive private data in computing is matched by a growing concern regarding data privacy. System software such as hypervisors and operating systems are supposed to protect and isolate applicati...
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ISBN:
(纸本)9781939133281
the increasing use of sensitive private data in computing is matched by a growing concern regarding data privacy. System software such as hypervisors and operating systems are supposed to protect and isolate applications and their private data, but their large codebases contain many vulnerabilities that can risk data confidentiality and integrity. We introduce Realms, a new abstraction for confidential computing to protect the data confidentiality and integrity of virtual machines. Hardware creates and enforces Realm world, a new physical address space for Realms. Firmware controls the hardware to secure Realms and handles requests from untrusted system software to manage Realms, including creating and running them. Untrusted system software retains control of the dynamic allocation of memory to Realms, but cannot access Realm memory contents, even if run at a higher privileged level. To guarantee the security of Realms, we verified the firmware, introducing novel verification techniques that enable us to prove, for the first time, the security and correctness of concurrent software with hand-over-hand locking and dynamically allocated shared page tables, data races in kernel code running on relaxed memory hardware, integrated C and Arm assembly code calling one another, and untrusted software being in full control of allocating system resources. Realms are included in the Arm Confidential Compute Architecture.
the radio range of backscatter systems continues growing as new wireless communication primitives are continuously invented. Nevertheless, boththe bit error rate and the packet loss rate of backscatter signals increa...
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ISBN:
(纸本)9781939133274
the radio range of backscatter systems continues growing as new wireless communication primitives are continuously invented. Nevertheless, boththe bit error rate and the packet loss rate of backscatter signals increase rapidly withthe radio range, thereby necessitating the cooperation between the access point and the backscatter tags through a feedback loop. Unfortunately, the low-power nature of backscatter tags limits their ability to demodulate feedback signals from a remote access point and scales down to such circumstances. this paper presents Saiyan, an ultra-low-power demodulator for long-range LoRa backscatter systems. With Saiyan, a backscatter tag can demodulate feedback signals from a remote access point with moderate power consumption and then perform an immediate packet re-transmission in the presence of packet loss. Moreover, Saiyan enables rate adaption and channel hopping - two PHY-layer operations that are important to channel efficiency yet unavailable on long-range backscatter systems. We prototype Saiyan on a two-layer PCB board and evaluate its performance in different environments. Results show that Saiyan achieves 3.5-5 x gain on the demodulation range, compared with state-of-the-art systems. Our ASIC simulation shows that the power consumption of Saiyan is around 93.2 mu W. Code and hardware schematics can be found at: https://***/ZangJac/Saiyan.
In-network computing has emerged as a new computational paradigm made possible withthe advent of programmable data planes. the benefits of moving computations traditionally performed by servers to the network have re...
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ISBN:
(纸本)9781939133274
In-network computing has emerged as a new computational paradigm made possible withthe advent of programmable data planes. the benefits of moving computations traditionally performed by servers to the network have recently been demonstrated through different applications. In this paper, we argue that programmable data planes could be a key technology enabler of cloud and edge-cloud robotics, and in general could revitalize industrial networking. We propose an in-network approach for real-time robot control that separates delay sensitive tasks from high-level control processes. the proposed system offloads real-time velocity control of robot arms to P4-enabled programmable data planes and only keeps the high-level control and planning at the industrial controller. this separation allows the deployment of industrial control in non-real-time environments like virtual machines and service containers running in a remote cloud or an edgecomputing infrastructure. In addition, we also demonstrate that our method can smoothly control 100s of robot arms with a single P4-switch, enables fast reroute between trajectories, solves the precise synchronization of multiple robots by design and supports the plug-and-play deployment of new robot devices in the industrial system, reducing both operational and management costs.
Synchronization of sensor devices is crucial for concurrent data acquisition. Numerous protocols have emerged for this task, and for some multi-sensor setups to operate synchronized, a conversion between deployed prot...
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ISBN:
(纸本)9798350387964;9798350387957
Synchronization of sensor devices is crucial for concurrent data acquisition. Numerous protocols have emerged for this task, and for some multi-sensor setups to operate synchronized, a conversion between deployed protocols is needed. this paper presents a bare-metal implementation of a Tri-Level Sync signal generator on a microcontroller unit (MCU) synchronized to a master clock via the IEEE 1588 Precision Time Protocol (PTP). Cameras can be synchronized by locking their frame generators to the Tri-Level Sync signal. As this synchronization depends on a stable analog signal, a careful design of the signal generation based on a PTP-managed clock is required. the limited tolerance of a camera to clock frequency adjustments for continuous operations imposes rate-limits on the PTP-controller. Simulations using a software model demonstrate the resulting controller instabilities from rate-limiting. this problem is addressed by introducing a linear prediction mode to the controller, which estimates the realizable offset change during rate-limited frequency alignment. By adjusting the frequency in a timely manner, a large overshoot of the controller can be avoided. Additionally, a cascading controller designthat decouples the PTP from the clock update rate proved to be advantageous to increase the camera's tolerable frequency change. this paper demonstrates that a MCU is a viable platform to perform PTP-synchronized Tri-Level Sync generation. Our open source implementation is available for use by the research community at https://***/IMS-AS-LUH/t41-tri-sync-ptp.
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