Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Noghabi, Shadi A."'
Autor:
Sun, Jinghan, Gong, Zibo, Agarwal, Anup, Noghabi, Shadi, Chandra, Ranveer, Snir, Marc, Huang, Jian
Modular data centers (MDCs) that can be placed right at the energy farms and powered mostly by renewable energy, are proven to be a flexible and effective approach to lowering the carbon footprint of data centers. However, the main challenge of using
Externí odkaz:
http://arxiv.org/abs/2406.02252
With the increasing deployment of earth observation satellite constellations, the downlink (satellite-to-ground) capacity often limits the freshness, quality, and coverage of the imagery data available to applications on the ground. To overcome the d
Externí odkaz:
http://arxiv.org/abs/2403.11434
Autor:
So, Jinhyun, Hsieh, Kevin, Arzani, Behnaz, Noghabi, Shadi, Avestimehr, Salman, Chandra, Ranveer
Large-scale deployments of low Earth orbit (LEO) satellites collect massive amount of Earth imageries and sensor data, which can empower machine learning (ML) to address global challenges such as real-time disaster navigation and mitigation. However,
Externí odkaz:
http://arxiv.org/abs/2202.01267
Modern applications have embraced separation of concerns as a first-order organizing principle through the use of containers, container orchestration, and service meshes. However, adaptation to unexpected network variation has not followed suit. We p
Externí odkaz:
http://arxiv.org/abs/2008.11868
Smart environments (homes, factories, hospitals, buildings) contain an increasing number of IoT devices, making them complex to manage. Today, in smart homes where users or triggers initiate routines (i.e., a sequence of commands), concurrent routine
Externí odkaz:
http://arxiv.org/abs/2007.12359
Autor:
Kalim, Faria, Noghabi, Shadi A.
Edge computing has become increasingly popular across many domains and enterprises. However, given the locality constraint of edges (i.e., only close-by edges are useful), multiplexing diverse workloads becomes challenging. This results in poor resou
Externí odkaz:
http://arxiv.org/abs/1806.09265
Internet of Things (IoT) applications have seen a phenomenal growth with estimates of growing to a 25 Billion dollar industry by 2020. With the scale of IoT applications growing and stricter requirements on latency, edge computing has piqued the inte
Externí odkaz:
http://arxiv.org/abs/1805.02305
Edge computing caters to a wide range of use cases from latency sensitive to bandwidth constrained applications. However, the exact specifications of the edge that give the most benefit for each type of application are still unclear. We investigate t
Externí odkaz:
http://arxiv.org/abs/1803.08448
During the past decade, machine learning has become extremely popular and can be found in many aspects of our every day life. Nowayadays with explosion of data while rapid growth of computation capacity, Distributed Deep Neural Networks (DDNNs) which
Externí odkaz:
http://arxiv.org/abs/1612.00521
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