[lisp] Fwd: Review of the LISP-NEXGON draft

Sharon Barkai <sharon.barkai@getnexar.com> Mon, 01 August 2022 03:44 UTC

Return-Path: <sharon.barkai@getnexar.com>
X-Original-To: lisp@ietfa.amsl.com
Delivered-To: lisp@ietfa.amsl.com
Received: from localhost (localhost []) by ietfa.amsl.com (Postfix) with ESMTP id 9003FC14F6E7 for <lisp@ietfa.amsl.com>; Sun, 31 Jul 2022 20:44:51 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.104
X-Spam-Status: No, score=-2.104 tagged_above=-999 required=5 tests=[BAYES_00=-1.9, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, HTML_MESSAGE=0.001, MIME_QP_LONG_LINE=0.001, RCVD_IN_ZEN_BLOCKED_OPENDNS=0.001, SPF_HELO_NONE=0.001, SPF_PASS=-0.001, T_SCC_BODY_TEXT_LINE=-0.01, URIBL_BLOCKED=0.001, URIBL_DBL_BLOCKED_OPENDNS=0.001, URIBL_ZEN_BLOCKED_OPENDNS=0.001] autolearn=ham autolearn_force=no
Authentication-Results: ietfa.amsl.com (amavisd-new); dkim=pass (1024-bit key) header.d=getnexar.com
Received: from mail.ietf.org ([]) by localhost (ietfa.amsl.com []) (amavisd-new, port 10024) with ESMTP id cKd8c1KMTLtj for <lisp@ietfa.amsl.com>; Sun, 31 Jul 2022 20:44:47 -0700 (PDT)
Received: from mail-ed1-x529.google.com (mail-ed1-x529.google.com [IPv6:2a00:1450:4864:20::529]) (using TLSv1.3 with cipher TLS_AES_128_GCM_SHA256 (128/128 bits) key-exchange X25519 server-signature RSA-PSS (2048 bits) server-digest SHA256) (No client certificate requested) by ietfa.amsl.com (Postfix) with ESMTPS id 385FAC14CF0B for <lisp@ietf.org>; Sun, 31 Jul 2022 20:44:47 -0700 (PDT)
Received: by mail-ed1-x529.google.com with SMTP id p5so12139296edi.12 for <lisp@ietf.org>; Sun, 31 Jul 2022 20:44:47 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=getnexar.com; s=google; h=content-transfer-encoding:from:mime-version:subject:date:references :to:message-id; bh=VKj0n6zylsdHf6AYWST4FtRVft2g2+PpkHZhzk5eq5U=; b=PSRd9FOTNEcuCYzLbDByGJlReUcLYE7eGz9JaZuK0nLYLQUr6us7cQzwfrbnBQh4vD El9hxI4oeDTMFZ1yqfbvZPkkYCg2y+MA79lZPiMEgcsWgGn5mi8hilkeOej2qA9EWLCz 6WAfkocV2m/J66m08cDkGc3jzEGhDrcyPfRy4=
X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20210112; h=x-gm-message-state:content-transfer-encoding:from:mime-version :subject:date:references:to:message-id; bh=VKj0n6zylsdHf6AYWST4FtRVft2g2+PpkHZhzk5eq5U=; b=TF2LpndXkB5UrdFMh6B7pfbYWdsV7WKVJPRyDb1AOJ0uzqUgIzG6vKyZSnDw9QFH// ZUVH8P6vSTwQvC09XAn0l1HxYcHSRa3lunmZcVG9L8kEkUhsjlHF/7DVsx6mB9nR3GWp LDooVL36ObOmXreD3vPhRPnUMh2KA5OPNl4NoIiyjnYZ92vLC5mAkGpfIFjfIGysWaqD DqiEPQ3yAdigojjHMmz31OiPmDDW0SNqEV4HrIMQYSmsw1vrJNG/0wUqXBvUFrWTe7zl ZkDYt1KyKM/sklr6j/5J5J9gosvW03kxP2TXguOQ2Y29Ta/WL7ubhMoc4RMO3KjD6fmW e9zw==
X-Gm-Message-State: ACgBeo0V/jCf6x5Z0qJybYpeqjs7aur1yVjQArrhHRpmrQS70RJcMYuN tTdqsiOonXjSXF8JQBxZw4xCjQCUkUnaeg==
X-Google-Smtp-Source: AA6agR4EE1DpWfGD15/ee/sn2pBGVOva5DPGv8cVzZk2NErP+7v/imd1rNrKZmtp5Hu+uze1msmbtQ==
X-Received: by 2002:a05:6402:3482:b0:43d:3650:1dc2 with SMTP id v2-20020a056402348200b0043d36501dc2mr11610545edc.23.1659325485602; Sun, 31 Jul 2022 20:44:45 -0700 (PDT)
Received: from smtpclient.apple ([2a0d:6fc2:4a91:6500:997d:704a:8d4c:a9ca]) by smtp.gmail.com with ESMTPSA id m9-20020aa7c2c9000000b0043bbf79b3ebsm6225029edp.54.2022. (version=TLS1_3 cipher=TLS_AES_128_GCM_SHA256 bits=128/128); Sun, 31 Jul 2022 20:44:44 -0700 (PDT)
Content-Type: multipart/alternative; boundary="Apple-Mail-83D0EC1D-ED23-4F86-82C6-A987C5DD7C55"
Content-Transfer-Encoding: 7bit
From: Sharon Barkai <sharon.barkai@getnexar.com>
Mime-Version: 1.0 (1.0)
Date: Mon, 01 Aug 2022 06:44:42 +0300
References: <CAOZy3yH7yKGJparQUsA=g41ncn9W2-5XR+mW+ZyJbTQST-Rysw@mail.gmail.com>
To: "lisp@ietf.org list" <lisp@ietf.org>, draft-ietf-lisp-nexagon@ietf.org, lisp-chairs@ietf.org
Message-Id: <B14FAE66-9D4E-435A-B07D-5E443313DD8E@getnexar.com>
X-Mailer: iPhone Mail (19G71)
Archived-At: <https://mailarchive.ietf.org/arch/msg/lisp/t1BDZhF3Lg9IRRTzMjBvksOzb7E>
Subject: [lisp] Fwd: Review of the LISP-NEXGON draft
X-BeenThere: lisp@ietf.org
X-Mailman-Version: 2.1.39
Precedence: list
List-Id: List for the discussion of the Locator/ID Separation Protocol <lisp.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/lisp>, <mailto:lisp-request@ietf.org?subject=unsubscribe>
List-Archive: <https://mailarchive.ietf.org/arch/browse/lisp/>
List-Post: <mailto:lisp@ietf.org>
List-Help: <mailto:lisp-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/lisp>, <mailto:lisp-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 01 Aug 2022 03:44:51 -0000

Review by BDD of ietf-lisp-nexagon
Will send comments by authors on the H3 steering committee later this week. 

Cell: +972.53.2470068
WhatsApp: +1.650.492.0794

Begin forwarded message:

> From: Trevor Darrell <trevor@eecs.berkeley.edu>
> Date: August 1, 2022 at 05:22:21 GMT+3
> To: lisp@ietf.org
> Cc: Fisher Yu <i@yf.io>, Sharon Barkai <sharon.barkai@getnexar.com>, Bruno Fernandez-Ruiz <b@getnexar.com>
> Subject: Review of the LISP-NEXGON draft
> Dear LISP@IETF.org,
> This is a review of the draft available at https://datatracker.ietf.org/doc/html/draft-ietf-lisp-nexagon by Prof. Trevor Darrell of UC Berkeley and Prof. Fisher Yu of ETH Zurich, founders of the Berkeley Deep Drive Consortium (BDD; https://bdd-data.berkeley.edu/) and the largest academic driving dataset, BDD100K (https://bdd100k.com).  
> Professors Darrell and Yu are leading researchers in AI, Computer Vision, and Autonomous Driving, and have pioneered open-source frameworks and datasets for autonomous driving research.  Darrell has been in the field for over three decades, founded the UC Berkeley BAIR and BDD centers, and is the second most highly cited scholar in autonomous driving and the ninth-most in computer vision according to Google Scholar. Yu is a leading researcher of his generation in the area of perception for autonomous vehicles and was recently hired as a tenure-track Assistant Professor at ETH after completing a Postdoc at UC Berkeley, where he led the development of deep learning models for autonomous driving and oversaw the collection of the BDD100K dataset, which has been widely adopted in industry and academia.
> The draft describes network aggregation of detections made by vehicles with AI cameras driving at speeds of between 0 to 50 meters per second. Detections are marked, enumerated, and localized by the vehicle, and are snapped to a geospatial grid tile based on the vehicle position and geo-perspective calculation. The enumeration and localization specified by the draft are feasible with a reasonable onboard vehicle computer and are consistent with current research results from our labs at UC Berkeley and ETH Zurich. 
> Detections from each area are aggregated in algorithmically (location) addressable shards.
> A consolidation process is applied to merge multiple detections from multiple points of view, varying time-stamps, and varying detection and localization errors. The consolidation process emerges the current state - enumeration of the condition of each grid tile aggregated by the shard. Both condition enumeration, data-clustering, and consolidation processing applied on network edge computers are aligned with BDD research.
> The formal geospatial grid used for localization and consolidated aggregation is the H3geo.org hierarchical hexagonal grid, as it provides for clear tile adjacency of the grid in each resolution level. This is a useful quality in calculating perspective, propagating impact of conditions, and resolving shard border-line detections.  We believe these design decisions are reasonable.
> We understood the detection aggregation network is based on IETF LISP RFCs to provide:
> (1) seamless (to vehicles) edge compute expansion-contraction of per street activity
> (2) geo privacy,  preventing unwarranted vehicle tracking by geolocation services
> (3) seamless context switching crossing shards while driving, without DNS disruption  
> (4) service and subscription continuity when switching carriers/wlan while driving
> (5) mobile queuing, and metro ethernet edge route coalescing: M Mbps X Few 100GE
> (6) replication of push notifications, network join: Vehicles X Situations X Locations
> Therefore we believe that LISP@IETF.org is the appropriate review venue for this draft.  Please do not hesitate to contact us for further discussion of this important topic.
> Kind Regards,
> Profs. Darrell and Yu
> trevor@eecs.berkeley.edu
> i@yf.io