More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs
Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Yang, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
Abstract
Huge energy consumption poses a significant challenge for edge clouds. In response to this, we introduce a new type of edge server, namely SoC Cluster, that orchestrates multiple low-power mobile system-on-chips (SoCs) through an onchip network. For the first time, we have developed a concrete SoC Cluster consisting of 60 Qualcomm Snapdragon 865 SoCs housed in a 2U rack, which has been successfully commercialized and extensively deployed in edge clouds. Cloud gaming emerges as the principal workload on these deployed SoC Clusters, owing to the compatibility between mobile SoCs and native mobile games.
In this study, we aim to demystify whether the SoC Cluster can efficiently serve more generalized, typical edge workloads. Therefore, we developed a benchmark suite that employs state-of-the-art libraries for two critical edge workloads, i.e., video transcoding and deep learning inference. This suite evaluates throughput, latency, power consumption, and other application-specific metrics like video quality. Following this, we conducted a thorough measurement study and directly compared the SoC Cluster with traditional edge servers, with regards to electricity usage and monetary cost. Our results quantitatively reveal when and for which applications mobile SoCs exhibit higher energy efficiency than traditional servers, as well as their ability to proportionally scale power consumption with fluctuating incoming loads. These outcomes provide insightful implications and offer valuable direction for further refinement of the SoC Cluster to facilitate its deployment across wider edge scenarios.
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Install the CLIlune papers fulltext 37b60822-fdfe-47f4-a910-f3770b2e5cfcCited by top-tier papers3
- High-density Mobile Cloud Gaming on Edge SoC ClustersLi Zhang, Shangguang Wang, Mengwei XuUSENIX ATC 2024 · 6 citations
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- Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESetYanan Li, Guangqing Deng, Changming Bai, Jingyu Yang et al.SIGMOD 2024 · 2 citations
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- Junkyard Computing: Repurposing Discarded Smartphones to Minimize CarbonJennifer Switzer, Gabriel Marcano, Ryan Kastner, Pat PannutoASPLOS 2023 · 56 citations
- Warehouse-scale video acceleration: co-design and deployment in the wildParthasarathy Ranganathan, Daniel Stodolsky, Jeff Calow, Jeremy Dorfman et al.ASPLOS 2021 · 43 citations
- Mandheling: mixed-precision on-device DNN training with DSP offloadingDaliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang et al.MobiCom 2022 · 43 citations
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