Conference paper Open Access

Adaptive Schedulers for Deadline-Constrained Content Upload from Mobile Multihomed Vehicles

ali safari khatouni; Marco G Ajmone Marsan; Marco Mellia; Reza Rejaie


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/bece284e-860f-4c53-b1fc-15a4b59b06d9/LANMAN_2017%282%29.pdf"
      }, 
      "checksum": "md5:edfa5ac6b49048b8e59e3fa455d6e22f", 
      "bucket": "bece284e-860f-4c53-b1fc-15a4b59b06d9", 
      "key": "LANMAN_2017(2).pdf", 
      "type": "pdf", 
      "size": 380883
    }
  ], 
  "owners": [
    22162
  ], 
  "doi": "10.5281/zenodo.814858", 
  "stats": {
    "version_unique_downloads": 31.0, 
    "unique_views": 61.0, 
    "views": 62.0, 
    "version_views": 62.0, 
    "unique_downloads": 31.0, 
    "version_unique_views": 61.0, 
    "volume": 11807373.0, 
    "version_downloads": 31.0, 
    "downloads": 31.0, 
    "version_volume": 11807373.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.814858", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.814857", 
    "bucket": "https://zenodo.org/api/files/bece284e-860f-4c53-b1fc-15a4b59b06d9", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.814857.svg", 
    "html": "https://zenodo.org/record/814858", 
    "latest_html": "https://zenodo.org/record/814858", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.814858.svg", 
    "latest": "https://zenodo.org/api/records/814858"
  }, 
  "conceptdoi": "10.5281/zenodo.814857", 
  "created": "2017-06-20T13:27:36.512385+00:00", 
  "updated": "2020-01-20T17:14:46.516822+00:00", 
  "conceptrecid": "814857", 
  "revision": 7, 
  "id": 814858, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.814858", 
    "description": "<p>We consider the practical problem of video surveillance in public transport systems, where security videos are stored onboard, and a central operator occasionally needs to access portions of the recordings. When this happens, the video portion must be uploaded within a deadline, possibly using multiple parallel wireless interfaces. Interfaces have different associated costs, related to tariffs charged by Mobile Network Operators (MNOs), energy consumption, data quotas, system load. Our goal is to choose which interfaces to use, and when, so as to minimize the cost of the upload while meeting the deadline, despite the unknown short-term variations in throughput. To achieve this goal, we first collected real traces of mobile uploads for different MNOs from vehicles. Examination of these traces confirms the unpredictability of the short-term throughput of wireless connections, and motivates the adoption of adaptive schedulers with very limited a-priori knowledge of the system status. To effectively solve our problem, we devised a family of adaptive algorithms, that we thoroughly evaluated using a trace-driven approach. Results show that our adaptive approach can effectively leverage the fundamental tradeoff between the total cost and the delivery time of content upload, despite unknown short-term variations in throughput.</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Adaptive Schedulers for Deadline-Constrained Content Upload from Mobile Multihomed Vehicles", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "814857"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "814858"
          }
        }
      ]
    }, 
    "communities": [
      {
        "id": "h2020_monroe"
      }
    ], 
    "grants": [
      {
        "code": "644399", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::644399"
        }, 
        "title": "Measuring Mobile Broadband Networks in Europe", 
        "acronym": "MONROE", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "keywords": [
      "Adaptive scheduler, Mobile network, Public transport, Smart city"
    ], 
    "publication_date": "2017-06-12", 
    "creators": [
      {
        "affiliation": "Politecnico di Torino", 
        "name": "ali safari khatouni"
      }, 
      {
        "affiliation": "Politecnico di Torino & IMDEA Networks", 
        "name": "Marco G Ajmone Marsan"
      }, 
      {
        "affiliation": "Politecnico di Torino", 
        "name": "Marco Mellia"
      }, 
      {
        "affiliation": "University of Oregon", 
        "name": "Reza Rejaie"
      }
    ], 
    "meeting": {
      "dates": "12-14 June 2017", 
      "title": "23th IEEE International Symposium on Local and Metropolitan Area Networks", 
      "acronym": "LANMAN", 
      "url": "http://lanman2017.ieee-lanman.org/", 
      "session": "Session 1: Mobile and Edge Computing", 
      "place": "Osaka, Japan"
    }, 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.814857", 
        "relation": "isVersionOf"
      }
    ]
  }
}
62
31
views
downloads
All versions This version
Views 6262
Downloads 3131
Data volume 11.8 MB11.8 MB
Unique views 6161
Unique downloads 3131

Share

Cite as