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<!DOCTYPE HTML>
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<h2 id="acm-sigcomm-2017-workshop-on-mobile-edge-communications-mecomm2017">ACM SIGCOMM 2017 Workshop on Mobile Edge Communications (MECOMM’2017)</h2>
<h3 id="workshop-program">Workshop Program</h3>
<div id="mecomm-program" class="mecomm-program">
<ul class="program" data-role="listview" data-filter="true" data-inset="true" data-theme="d" data-dividertheme="a" placeholder="Filter program...">
<li class="prog-header prog-no-filter ui-bar-a prog-item prog-monday">
<h3>Monday, August 21, 2017, Illumination Room (Luskin Center)</h3>
</li>
<li class="ui-li ui-bar-a prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
8:45am - 9:00am
Opening and Welcome
</h3>
<p>Room: Illumination Room (Luskin Center)</p>
</li>
<li class="hidden">Opening and Welcome</li>
<li class="ui-li ui-bar-a prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
9:00am - 10:00am
Keynote Presentation
</h3>
<p>Room: Illumination Room (Luskin Center)</p>
</li>
<li class="hidden">Keynote Presentation</li>
<li data-icon="false" class="prog-item prog-monday">
<div>
<p class="paper-header">
Motivating Examples and OpenNetVM as a Platform for Mobile Edge Computing
</p>
<!-- /* the spaces after various "%s" below are important for correct list filtering! */ -->
<p>K. K. Ramakrishnan <em>(University of California, Riverside)</em></p>
</div>
<div class="ui-li-aside-item">
</div>
</li>
<li class="ui-li ui-bar-a prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
10:00am - 11:40am
Session 1: Edge Infrastructure
</h3>
<p>Room: Illumination Room (Luskin Center)</p>
</li>
<li class="hidden">Session 1: Edge Infrastructure</li>
<li data-icon="false" class="prog-item prog-monday">
<div data-role="collapsible" class="paper-navgroup" data-collapsed="true" data-iconpos="right" data-collapsed-icon="carat-d" data-expanded-icon="carat-u">
<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34648'; event.stopPropagation();" class="ui-link">Virtualization and Programmability in Mobile Wireless Networks: Architecture and Resource Management</a>
</p>
<!-- /* the spaces after various "%s" below are important for correct list filtering! */ -->
<p>Kleber V. Cardoso <em>(Universidade Federal de Goias)</em>, Mohammad J. Abdel-Rahman <em>(Virginia Tech)</em>, Allen B. MacKenzie <em>(Virginia Tech)</em>, Luiz A. DaSilva <em>(Trinity College Dublin)</em></p>
</div>
<div class="ui-li-aside">
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34648" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Paper</a>
</div>
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34648" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Video</a>
</div>
</div>
</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>We present a high-level end-to-end architecture for virtualization
and programmability in next-generation mobile wireless networks.
Our architecture envisions three major players: Service Providers,
who wish to orchestrate wireless networks with particular characteristics to support particular applications; Resource Providers,
who contribute resources such as spectrum, access points, backhaul
infrastructure, and computing; and Virtual Network Builders, who
marshal resources into networks for Service Providers. We take into
account resource sharing and investigate how virtualization and
programmability affect resource management. We show that: (i)
virtualization reduces cost signifcantly, (ii) this cost reduction does
not degrade the user satisfaction, and (iii) non-virtualized networks
need to keep a large amount of idle capacity to satisfy coverage.</p>
<p> </p>
</li>
</ul>
</div>
</li>
<li data-icon="false" class="prog-item prog-monday">
<div data-role="collapsible" class="paper-navgroup" data-collapsed="true" data-iconpos="right" data-collapsed-icon="carat-d" data-expanded-icon="carat-u">
<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34649'; event.stopPropagation();" class="ui-link">Information-Centric Mobile Edge Computing for Connected Vehicle Environments: Challenges and Research Directions</a>
</p>
<!-- /* the spaces after various "%s" below are important for correct list filtering! */ -->
<p>Dennis Grewe <em>(Robert Bosch GmbH)</em>, Marco Wagner <em>(Robert Bosch GmbH)</em>, Mayutan Arumaithurai <em>(University of Goetingen)</em>, Ioannis Psaras <em>(University College London)</em>, Dirk Kutscher <em>(Huawei German Research Center)</em></p>
</div>
<div class="ui-li-aside">
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34649" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Paper</a>
</div>
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34649" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Video</a>
</div>
</div>
</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>Connected vehicle systems form the basis for future features of
functions and applications within the automotive domain. In order
to allow resource intensive services, cloud offloading and especially
Mobile Edge Computing is a promising approach. In this paper, we
present a detailed futuristic vehicular scenario – Electronic Horizon – and list the challenges. We argue that the resulting challenges are
representative of many of the envisioned use-cases of Mobile Edge
Computing. We then present how Information-Centric Networking
in combination with Mobile Edge Computing has the potential to
support such a futuristic scenario. Finally, we present research
directions that could enhance the solution space.</p>
<p> </p>
</li>
</ul>
</div>
</li>
<li data-icon="false" class="prog-item prog-monday">
<div data-role="collapsible" class="paper-navgroup" data-collapsed="true" data-iconpos="right" data-collapsed-icon="carat-d" data-expanded-icon="carat-u">
<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34640'; event.stopPropagation();" class="ui-link">Wi-Stitch: Content Delivery in Converged Edge Networks</a>
</p>
<!-- /* the spaces after various "%s" below are important for correct list filtering! */ -->
<p>Aravindh Raman <em>(King's College London)</em>, Nishanth Sastry <em>(King's College London)</em>, Arjuna Sathiaseelan <em>(University of Cambridge)</em>, Jigna Chandaria <em>(BBC R&D)</em>, Andrew Secker <em>(BBC R&D)</em></p>
</div>
<div class="ui-li-aside">
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34640" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Paper</a>
</div>
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34640" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Video</a>
</div>
</div>
</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>Wi-Fi, the most commonly used access technology at the very edge,
supports download speeds that are orders of magnitude faster than
the average home broadband or cellular data connection. Furthermore, it is extremely common for users to be within reach of their
neighbours’ Wi-Fi access points. Given the skewed nature of interest in content items, it is likely that some of these neighbours
are interested in the same items as the users. We sketch the design
of Wi-Stitch, an architecture that exploits these observations to
construct a highly efficient content sharing infrastructure at the
very edge and show through analysis of a real workload that it can
deliver substantial (up to 70%) savings in network traffic. The Wi-Stitch approach can be used both by clients of fixed-line broadband,
as well as mobile devices obtaining indoors access in converged
networks.</p>
<p> </p>
</li>
</ul>
</div>
</li>
<li data-icon="false" class="prog-item prog-monday">
<div data-role="collapsible" class="paper-navgroup" data-collapsed="true" data-iconpos="right" data-collapsed-icon="carat-d" data-expanded-icon="carat-u">
<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34641'; event.stopPropagation();" class="ui-link">Managing Data in Computational Edge Clouds</a>
</p>
<!-- /* the spaces after various "%s" below are important for correct list filtering! */ -->
<p>Nitinder Mohan <em>(University of Helsinki)</em>, Pengyuan Zhou <em>(University of Helsinki)</em>, Keerthana Govindaraj <em>(Robert Bosch GmbH)</em>, Jussi Kangasharju <em>(University of Helsinki)</em></p>
</div>
<div class="ui-li-aside">
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34641" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Paper</a>
</div>
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34641" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Video</a>
</div>
</div>
</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>Edge clouds handle data and computations closer to its source
and users. Applications like industrial automation, bring new
challenges and require solutions tailored for computation-centric edge cloud networks. In this paper we build on existing edge and fog computing models and develop a solution
to predict and store data in edge resource caches for upcoming computations. Our solution is based on grouping caches
according to the workloads they serve. We further develop
methods for populating the caches and ensuring the coherence of the cached data. We evaluate the performance of
our grouping mechanisms and show that they bring significant performance gains, both in terms of network traffic and
access latency.</p>
<p> </p>
</li>
</ul>
</div>
</li>
<li class="ui-li ui-bar-b prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
11:40am - 12:00pm
Coffee Break
(Foyer)
</h3>
</li>
<li class="hidden">Coffee Break</li>
<li class="ui-li ui-bar-a prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
12:00am - 12:20pm
Invited Talk
</h3>
<p>Room: Illumination Room (Luskin Center)</p>
</li>
<li class="hidden">Invited Talk</li>
<li data-icon="false" class="prog-item prog-monday">
<div style="width: 85%">
<p class="paper-header">
Platforms for Advanced Wireless Research (PAWR): Helping Define a New Edge Computing Paradigm
</p>
<!-- /* the spaces after various "%s" below are important for correct list filtering! */ -->
<p>Abhimanyu Gosain <em>(Technical Program Director of PAWR Project Office)</em></p>
</div>
<div class="ui-li-aside-item">
</div>
</li>
<li class="ui-li ui-bar-b prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
12:30pm - 1:30pm
Lunch Break
(Foyer)
</h3>
</li>
<li class="hidden">Lunch Break</li>
<li class="ui-li ui-bar-a prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
1:30pm - 2:45pm
Session 2: Protocol Optimisation for MEC
</h3>
<p>Room: Illumination Room (Luskin Center)</p>
</li>
<li class="hidden">Session 2: Protocol Optimisation for MEC</li>
<li data-icon="false" class="prog-item prog-monday">
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<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34642'; event.stopPropagation();" class="ui-link">Mobility-based Proactive Multicast for seamless mobility support in cellular network environments</a>
</p>
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<p>Xenofon Vasilakos <em>(Athens University of Economics and Business)</em>, Mohammed Q. Al-Khalidi <em>(University of Essex Colchester)</em>, Vasilios A. Siris <em>(Athens University of Economics and Business)</em>, Martin J. Reed <em>(University of Essex Colchester)</em>, Nikolaos Thomos <em>(University of Essex Colchester)</em>, George C. Polyzos <em>(Athens University of Economics and Business)</em></p>
</div>
<div class="ui-li-aside">
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</div>
<div class="button-paper">
<a href="//dl.acm.org/authorize?N34642" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Video</a>
</div>
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</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>Information-Centric Networking (ICN) is receiver driven, asynchronous and location-independent, hence it natively supports
client-mobility. However, post-handover delay is a problem for
delay-sensitive mobile applications, as they need to (re-)submit
their subscriptions and wait for them to get resolved and (probably
re-) transmitted before receiving the demanded data. To avoid this
problem and optimize performance, this paper proposes a Mobility-based Proactive Multicast (MPM) scheme. Unlike reactive or blind
multicast solutions proposed in the past, MPM takes autonomous
decisions locally at various network access points (cells) prior to
the movement of mobile clients, using a semi-Markov mobility
prediction model that predicts next-cell transitions, along with anticipating the duration between the transitions for an arbitrary user
in a cellular network. Since cellular backhaul links are typically
a bottleneck, MPM trades-off effectively part of the capacity of
the (congested) backhaul link for a decreased delay experienced
by users after handovers thanks to a congestion pricing scheme
used for backhaul capacity allocation. Our preliminary performance
evaluation results show that MPM captures well the temporal locality of mobile requests due to the semi-Markov mobility prediction model, hence it achieves a better performance compared to both a (i)
blind/naïve multicast and a (ii) content popularity-based proactive multicast.</p>
<p> </p>
</li>
</ul>
</div>
</li>
<li data-icon="false" class="prog-item prog-monday">
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<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34643'; event.stopPropagation();" class="ui-link">Optimization of Webpage Downloading Performance with Content-aware Mobile Edge Computing</a>
</p>
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<p>Peng Qian <em>(5G Innovation Centre, Institute for Communication Systems, University of Surrey)</em>, Ning Wang <em>(5G Innovation Centre, Institute for Communication Systems, University of Surrey)</em>, Bong-Hwan Oh <em>(5G Innovation Centre, Institute for Communication Systems, University of Surrey)</em>, Chang Ge <em>(5G Innovation Centre, Institute for Communication Systems, University of Surrey)</em>, Rahim Tafazolli <em>(5G Innovation Centre, Institute for Communication Systems, University of Surrey)</em></p>
</div>
<div class="ui-li-aside">
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</div>
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<a href="//dl.acm.org/authorize?N34643" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Video</a>
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</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>With increased complexity of webpages nowadays, computation
latency incurred by webpage processing during downloading operations has become a newly identi�ed factor that may substantially aff�ect user experiences in a mobile network. In order to tackle this issue, we propose a simple but e�ective transport-layer optimization
technique which requires necessary context information dissemination from the mobile edge computing (MEC) server to user devices
where such an algorithm is actually executed. The key novelty in
this case is the mobile edge’s knowledge about webpage content
characteristics which is able to increase downloading throughput
for user QoE enhancement. Our experiment results based on a real
LTE-A test-bed show that, when the proportion of computation
latency varies between 20% and 50% (which is typical for today’s
webpages), the downloading throughput can be improved up to
34.5%, with reduced downloading time by up to 25.1%</p>
<p> </p>
</li>
</ul>
</div>
</li>
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<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34644'; event.stopPropagation();" class="ui-link">Realization of CDMA-based IoT Services with Shared Band Operation of LTE in 5G</a>
</p>
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<p>Shweta S. Sagari <em>(Huawei Research)</em>, Siddarth Mathur <em>(WINLAB, Rutgers University)</em>, Dola Saha <em>(University at Albany, SUNY)</em>, Syed Obaid Amin <em>(Huawei Research)</em>, Ravishankar Ravindran <em>(Huawei Research)</em>, Ivan Seskar <em>(WINLAB, Rutgers University)</em>, Dipankar Raychaudhuri <em>(WINLAB, Rutgers University)</em>, Guoqiang Wang <em>(Huawei Research)</em></p>
</div>
<div class="ui-li-aside">
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<a href="//dl.acm.org/authorize?N34644" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Paper</a>
</div>
<div class="button-paper">
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</div>
</div>
</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>5G network is geared towards massive deployment of Internet-of-Things (IoTs) with requirements of low end-to-end latency, low
control overhead and low power transmissions. Current 4G network is optimized for large bandwidth applications and inefficient
to handle short sporadic IoT messages. This paper focuses on low power underlay CDMA access for IoT devices considering event-driven and latency sensitive traffic profile, thus will significantly
reduce the access time. We propose a PHY/MAC layer design for CDMA based communication for IoT devices. We evaluate coexisting operation of CDMA based IoT network in presence of the
exiting LTE network. Our proposed protocol will integrate IoT traffic with legacy system by minimal modification at the edge network, essentially eNodeB. We show that the underlay CDMA IoT network meets IoT data traffic requirements with minimal degradation
(~ 3%) to the LTE throughput. We also implement the proposed design using Software Defined Radios and show the viability of the proposal under different network scenarios.</p>
<p> </p>
</li>
</ul>
</div>
</li>
<li class="ui-li ui-bar-a prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
2:45pm - 3:45pm
Industrial Panel : Adoption Challenges and Prospects of Mobile Edge Computing and Communications
</h3>
<p>Room: Illumination Room (Luskin Center)</p>
</li>
<li class="hidden">Industrial Panel : Adoption Challenges and Prospects of Mobile Edge Computing and Communications</li>
<li data-icon="false" class="prog-item prog-monday">
<div style="width: 85%">
<p class="paper-header">
Moderator
</p>
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<p>Martin J. Reed <em>(Senior Lecturer, University of Essex)</em></p>
</div>
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</div>
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<li data-icon="false" class="prog-item prog-monday">
<div style="width: 85%">
<p class="paper-header">
Panelist: IoT/Edge Computing
</p>
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<p>Bruce Maggs <em>(Vice President, Research, Akamai Technologies)</em></p>
</div>
<div class="ui-li-aside-item">
</div>
</li>
<li data-icon="false" class="prog-item prog-monday">
<div style="width: 85%">
<p class="paper-header">
Panelist: Service and Platform Innovation
</p>
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<p>Dirk Trossen <em>(Senior Principle Engineer, InterDigital Europe)</em></p>
</div>
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</li>
<li data-icon="false" class="prog-item prog-monday">
<div style="width: 85%">
<p class="paper-header">
Panelist: Core Networks
</p>
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<p>Joe Mambretti <em>(Director at Metropolitan Research and Education Network, Northwestern University)</em></p>
</div>
<div class="ui-li-aside-item">
</div>
</li>
<li class="ui-li ui-bar-b prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
3:45pm - 4:00pm
Coffee Break
(Foyer)
</h3>
</li>
<li class="hidden">Coffee Break</li>
<li class="ui-li ui-bar-a prog-item ui-li-divider prog-monday " data-role="list-divider">
<h3>
4:00pm - 5:15pm
Session 3: Edge Resource Allocation
</h3>
<p>Room: Illumination Room (Luskin Center)</p>
</li>
<li class="hidden">Session 3: Edge Resource Allocation</li>
<li data-icon="false" class="prog-item prog-monday">
<div data-role="collapsible" class="paper-navgroup" data-collapsed="true" data-iconpos="right" data-collapsed-icon="carat-d" data-expanded-icon="carat-u">
<h4>
<div style="width: 85%">
<p class="paper-header">
<a href="javascript:void(0)" onclick="window.location='//dl.acm.org/authorize?N34755'; event.stopPropagation();" class="ui-link">Geo-partitioning of MEC resources</a>
</p>
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<p>Mathieu Bouet <em>(Thales)</em>, Vania Conan <em>(Thales)</em></p>
</div>
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<a href="//dl.acm.org/authorize?N34755" onclick="event.stopPropagation();" rel="external" target="_blank" class="ui-link">Video</a>
</div>
</div>
</h4>
<ul data-role="listview" data-inset="false">
<li data-icon="false">
<p><b>Abstract: </b>Mobile Edge Computing (MEC) is an emerging technology that
aims at pushing applications and content close to the users (e.g.
at base stations, access points, aggregation networks) to reduce
latency, improve quality of experience, and ensure highly efficient
network operation and service delivery. It principally relies on
virtualization-enabled MEC servers with limited capacity at the
edge of the network. One key issue is to dimension such systems
in terms of server size, server number and server operation area
to meet MEC goals. In this paper, we propose a graph-based algorithm that, taking into account a maximum MEC server capacity,
provides a partition of MEC clusters, which consolidates as many
communications as possible at the edge. We use a dataset of mobile communications to evaluate it with real world spatio-temporal
human dynamics. In addition to quantifying macroscopic MEC
benets, the evaluation shows that our algorithm provides MEC
area partitions that largely ofload the core, thus pushing the load at
the edge (e.g., with 10 small MEC servers around 55% of the traffic
stay at the edge), and that are well balanced through time.</p>
<p> </p>
</li>
</ul>
</div>
</li>
<li data-icon="false" class="prog-item prog-monday">