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Subject: [Idnet] Last week to submit IEEE SOFTNETICS (International Workshop on Softwarized Networks Analytics) - NetSoft 2018
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======================================================================

IEEE SOFTNETICS 2018
International Workshop on Softwarized Networks Analytics

Colocated with IEEE NetSoft 2018,
25-29 June 2018 – Montreal, Canada

http://softnetics.inria.fr/

Paper submission: March 16, 2018
Notification of acceptance: April 6, 2018
Camera ready: April 20, 2018
Workshop date: June 25 or 29, 2018

======================================================================

Thanks to enhanced programmability, all related networking
technologies promise a higher level of flexibility, a stronger
coupling between network and services, applications and users in
order to offer high-end and customized services. Softwarization of
network promotes innovation in telecommunication networks and
actually support , new methods and mechanisms have to be established
to fully take advantage of the offered capabilities. For example,
heuristic-based optimization techniques have proven to be successful
in deriving network policies to configurations of softwarized
network elements. In parallel, the big data era stimulates the use
of artificial intelligence, Machine Learning (ML) and data mining
techniques as well as the apparition of batch and streaming data
analytic frameworks and paradigms. Deep learning recently gains in
popularity and paves the way to more powerful application of ML to
various problems. Many areas can leverage all this type of analytics
to handle the data explosion phenomenon or increasing complexity of
problems to solve in an efficient and valuable way, as for example
to detect or even predict threats, decide on mitigation strategies,
provision resources for QoS, etc.

The objectives of advanced algorithms would be to support better
decisions for softwarized networks in a fully automated way or to
assist or guide human operators with strong and enhanced cooperation
with new visualisation approaches including virtual reality. There are
also important challenges to be addressed on how to efficiently collect
and process data of a softwarized network and even how to integrated
data from external sources in order to improve the derived knowledge.

Topics of interest: Authors are invited to submit original
contributions about technologies applied to softwarized networks that
falls into the following list of topics of interest (not exclusive
list). Both theoretical contributions as well as technical
developments and practical evaluations are in the scope of the
workshop:
- Data-Driven softwarization of networks
- Verification of softwarized networks
- Security analytics in SDN
- Large-scale monitoring in SDN and NFV
- Routing optimization Security policy configurations
- Analytics for QoS and QoE
- Analytics-oriented framework and architectures for networking
- Data-analytics integration in softwarized networks
- Optimization techniques
- New machine learning algorithms for softwarized networks
- Attack design and mitigation

======================================================================

Venue:
SOFTNETICS will be held in conjunction with IEEE Conference on
Network Softwarization (NetSoft) 2018 in Montreal, Canada

======================================================================
Submission Instructions:

Prospective authors are invited to submit original, unpublished works
for publication in the IEEE Netsoft 2018 proceedings and for
presentation in the workshop. Papers under review elsewhere must not
be submitted to the workshop. Submissions must be in IEEE 2-column
style and have a maximum length of 6 pages (full paper) or 4 pages
(short paper). Papers will be withdrawn from IEEE Xplore in case the
authors do not present their paper at the workshop

Submissions must be made in PDF format via:
https://jems.sbc.org.br/home.cgi?c=3006

======================================================================

Workshop co-chairs:

Jérôme François
Inria Nancy Grand Est, France

Shen Yan,
Huawei Technologies, China



From nobody Mon Mar 19 06:03:48 2018
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Subject: [Idnet] Deadline extended to March 23 - IEEE SOFTNETICS (International Workshop on Softwarized Networks Analytics) - NetSoft 2018
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The deadline for SOFTENICS has been extended to March 23, so few days
more to submit your paper !

======================================================================

IEEE SOFTNETICS 2018
International Workshop on Softwarized Networks Analytics

Colocated with IEEE NetSoft 2018,
25-29 June 2018 – Montreal, Canada

http://softnetics.inria.fr/

Paper submission: March 23, 2018 (Hard deadline)
Notification of acceptance: April 6, 2018
Camera ready: April 20, 2018
Workshop date: June 25 or 29, 2018

======================================================================

Thanks to enhanced programmability, all related networking
technologies promise a higher level of flexibility, a stronger
coupling between network and services, applications and users in
order to offer high-end and customized services. Softwarization of
network promotes innovation in telecommunication networks and
actually support , new methods and mechanisms have to be established
to fully take advantage of the offered capabilities. For example,
heuristic-based optimization techniques have proven to be successful
in deriving network policies to configurations of softwarized
network elements. In parallel, the big data era stimulates the use
of artificial intelligence, Machine Learning (ML) and data mining
techniques as well as the apparition of batch and streaming data
analytic frameworks and paradigms. Deep learning recently gains in
popularity and paves the way to more powerful application of ML to
various problems. Many areas can leverage all this type of analytics
to handle the data explosion phenomenon or increasing complexity of
problems to solve in an efficient and valuable way, as for example
to detect or even predict threats, decide on mitigation strategies,
provision resources for QoS, etc.

The objectives of advanced algorithms would be to support better
decisions for softwarized networks in a fully automated way or to
assist or guide human operators with strong and enhanced cooperation
with new visualisation approaches including virtual reality. There are
also important challenges to be addressed on how to efficiently collect
and process data of a softwarized network and even how to integrated
data from external sources in order to improve the derived knowledge.

Topics of interest: Authors are invited to submit original
contributions about technologies applied to softwarized networks that
falls into the following list of topics of interest (not exclusive
list). Both theoretical contributions as well as technical
developments and practical evaluations are in the scope of the
workshop:
- Data-Driven softwarization of networks
- Verification of softwarized networks
- Security analytics in SDN
- Large-scale monitoring in SDN and NFV
- Routing optimization Security policy configurations
- Analytics for QoS and QoE
- Analytics-oriented framework and architectures for networking
- Data-analytics integration in softwarized networks
- Optimization techniques
- New machine learning algorithms for softwarized networks
- Attack design and mitigation

======================================================================

Venue:
SOFTNETICS will be held in conjunction with IEEE Conference on
Network Softwarization (NetSoft) 2018 in Montreal, Canada

======================================================================
Submission Instructions:

Prospective authors are invited to submit original, unpublished works
for publication in the IEEE Netsoft 2018 proceedings and for
presentation in the workshop. Papers under review elsewhere must not
be submitted to the workshop. Submissions must be in IEEE 2-column
style and have a maximum length of 6 pages (full paper) or 4 pages
(short paper). Papers will be withdrawn from IEEE Xplore in case the
authors do not present their paper at the workshop

Submissions must be made in PDF format via:
https://jems.sbc.org.br/home.cgi?c=3006

======================================================================

Workshop co-chairs:

Jérôme François
Inria Nancy Grand Est, France

Shen Yan,
Huawei Technologies, China




From nobody Wed Mar 21 04:19:55 2018
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From: Marie-Jose Montpetit <marie@mjmontpetit.com>
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Subject: [Idnet] New members
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Hi list:

after the HotRFC on Sunday there will be new members on the list.

Looking forward to the increased traffic.


Marie-Jose Montpetit, Ph.D.
mariejo@mit.edu
marie@mjmontpetit.com
+1-781-526-2661
@SocialTVMIT




From nobody Fri Mar 23 04:27:35 2018
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Subject: [Idnet] Presented this morning
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https://www.ietf.org/proceedings/101/slides/slides-101-iccrg-pcc-performance=
-oriented-congestion-control-00.pdf

Congestion control with some learning.

Marie-Jos=C3=A9 Montpetit
marie@mjmontpetit.com
mariejo@mit.edu=


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From: Marie-Jose Montpetit <marie@mjmontpetit.com>
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Subject: [Idnet] Seminar from Andrea Goldsmith (Stanford) on AI and Communication Systems
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Andrea was in MIT yesterday and she presented a seminar entitiled: Can =
machine learning beat theory in communication system design?=E2=80=9D
(fo those of you who do not know Andrea I suggest you Google her but in =
any case she is a highly reknowned wireless researcher from Stanford)

She first explained why communications theory may not be enough to =
analyse next gen networks (she called them nG) because time-variance or =
lack of a real channel model (molecular communication which is like =
diffusion) and the need maybe to design new PHY especially for cellular =
for example questioning the frequency re-use model still used to define =
the cells and deal with interference.

SHe went on to describe how her team use subject specific knowledge to =
define a new type of neural networks with sliding windows (a reference =
actually to coding where sliding window codes usually have the best =
performance).

She applied the new ML to 2 cases: one estimation and the other for =
words recognition in the presence of noise (the famous =
source-destination joint coding problem) and 2 channels: a traditional =
Poisson channel and a molecular channel with base/acid representing 0s =
and 1s (another model BTW is the =E2=80=9Cvodka model where 1 shot is 1 =
and water is 0).  The comparison on the Poisson channel was of course =
with the Viterbi Algorithm which is optimal when the channel is =
perfectly known.=20

The results (to be published) show that of course when there is no =
uncertainty on the channel Viterbi is good. But the ML is consistently =
as much as good as optimal even as the uncertainty increases (like in a =
fast varying channel) and when under that uncertainty the Viterbi =
estimation degrades rapidly.

With the pure molecular channel of course ML is the only solution and =
the results with the word recognition were excellent (next is imaging =
and video) because ML allows to dd semantics not just bit detection. =
Molecular channels BTW are considered for in-body communications.

The conclusion was that with the nG communications ML may provide better =
results than traditional methods given that they are driven by subject =
experts not just a generic ML algorithm. Questions that remain include =
timing and repeating of the neural network training that of course would =
be system dependent.


mjm

Marie-Jose Montpetit, Ph.D.
mariejo@mit.edu
marie@mjmontpetit.com
+1-781-526-2661
@SocialTVMIT





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Subject: [Idnet] Fwd: IEEE CTN: Machine Learning Modems
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More ML.

Marie-Jos=C3=A9 Montpetit
marie@mjmontpetit.com
mariejo@mit.edu

Begin forwarded message:

> From: "IEEE Communications Society" <noreply@comsoc.org>
> Date: March 30, 2018 at 4:03:26 PM EDT
> To: <marie@mjmontpetit.com>
> Subject: IEEE CTN: Machine Learning Modems
>=20
> View message online - Click here. =20
>=20
> =20
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>=20
> Machine Learning Modems: How ML Will Change How We Specify and Design Next=
-Generation Communication Systems
> =20
> Editor's Note:
> =20
> So, I hear you all ask, are we all out of a job? Are communication enginee=
rs another victim of the rise of the machine? Well the answer in this articl=
e is thankfully no, not yet. But Nathan, Ben and Tim point us towards a fasc=
inating new way to specify and design communication systems that may change f=
orever the way we standardize, design and field optimize our products. Time t=
o take that "basics of ML" online course you have been putting off for the l=
ast year! But first, read this article. Comments, and recommendations for go=
od classes in ML, welcome as always in the comments section at the end of th=
e article.
> =20
> Alan Gatherer, EIC CTN
>=20
> =20
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> About IEEE ComSoc Technology News (IEEE CTN) As your prime source for tech=
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maries of interesting, timely, and newsworthy papers and articles from ComSo=
c journals, magazines, conference proceedings, and other IEEE publications. I=
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<html><head><meta http-equiv=3D"content-type" content=3D"text/html; charset=3D=
utf-8"></head><body dir=3D"auto"><br>More ML.<div><br><div id=3D"AppleMailSi=
gnature">Marie-Jos=C3=A9 Montpetit<div><a href=3D"mailto:marie@mjmontpetit.c=
om">marie@mjmontpetit.com</a></div><div><a href=3D"mailto:mariejo@mit.edu">m=
ariejo@mit.edu</a></div></div><div><br>Begin forwarded message:<br><br></div=
><blockquote type=3D"cite"><div><b>From:</b> "IEEE Communications Society" &=
lt;<a href=3D"mailto:noreply@comsoc.org">noreply@comsoc.org</a>&gt;<br><b>Da=
te:</b> March 30, 2018 at 4:03:26 PM EDT<br><b>To:</b> &lt;<a href=3D"mailto=
:marie@mjmontpetit.com">marie@mjmontpetit.com</a>&gt;<br><b>Subject:</b> <b>=
IEEE CTN: Machine Learning Modems</b><br><br></div></blockquote><blockquote t=
ype=3D"cite"><div><meta http-equiv=3D"Content-Type" content=3D"text/html; ch=
arset=3DUTF-8"><title>IEEE CTN March 2018</title><style>html, body {
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<p style=3D"text-align: center"><span style=3D"font-family: Arial; "><span s=
tyle=3D"font-size: 9pt; ">View message online -&nbsp;</span></span><span sty=
le=3D"font-size: 9pt"><a href=3D"http://www.mmsend10.com/link.cfm?r=3DGEHwtL=
9ct3trJrKEkyzg2A~~&amp;pe=3DpxGfONt6UQbdsgaQ7lYqrTEf6ij_8agNDX6jWXfCfCnglsKn=
nsSKL3ygFuzO7oYHQ5MdsXRRSf_Ew7Q4ZrCwug~~&amp;t=3DcwSzNT7pusLyqLOexn8LpA~~"><=
span style=3D"font-family: Arial; ">Click here</span></a></span><span style=3D=
"font-family: Arial; "><span style=3D"font-size: 9pt; ">.</span></span>&nbsp=
;&nbsp;</p>
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mily: tahoma, sans-serif; font-size: 13px; background-color: rgb(230, 230, 2=
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x 8px; width: 614px; font-size: 14px; font-family: arial, sans-serif; color:=
 rgb(0, 0, 0); height: auto;" class=3D""><div>

<p class=3D"MsoTitle" style=3D"margin: 0in 0in 0.0001pt; text-align: center;=
"><span style=3D"font-size:20px;"><span style=3D"line-height:115%"><span sty=
le=3D"font-family:Arial,sans-serif"><span style=3D"color:black"><span lang=3D=
"EN"><span style=3D"line-height:115%">Machine Learning Modems: How ML Will C=
hange How We Specify and Design Next-Generation Communication Systems</span>=
</span></span></span></span></span></p>

<div class=3D"MsoTitle" style=3D"margin: 0in 0in 0.0001pt; text-align: cente=
r;">&nbsp;</div>

<div class=3D"MsoTitle" style=3D"margin: 0in 0in 0.0001pt; text-align: cente=
r;"><span style=3D"font-size:12px;"><span style=3D"letter-spacing: -0.666667=
px;">Editor's Note:</span></span></div>

<div class=3D"MsoTitle" style=3D"margin: 0in 0in 0.0001pt; text-align: cente=
r;">&nbsp;</div>

<div style=3D"margin: 0in 0in 0.0001pt;">

<p style=3D"margin:0in 0in 0.0001pt"><span style=3D"font-size:11pt"><span st=
yle=3D"line-height:115%"><span style=3D"color:black"><span lang=3D"EN" style=
=3D"font-size:10.0pt"><span style=3D"line-height:115%">So, I hear you all as=
k, are we all out of a job? Are communication engineers another victim of th=
e rise of the machine? Well the answer in this article is thankfully no, not=
 yet. But Nathan, Ben and Tim point us towards a fascinating new way to spec=
ify and design communication systems that may change forever the way we stan=
dardize, design and field optimize our products. Time to take that "basics o=
f ML" online course you have been putting off for the last year! But first, r=
ead this article. Comments,=20
and recommendations for good classes in ML, welcome as always in the comment=
s section at the end of the article.</span></span></span></span></span></p>


<p style=3D"margin:0in 0in 0.0001pt">&nbsp;</p>


<p style=3D"margin:0in 0in 8pt"><span style=3D"font-family:Arial,sans-serif;=
"><span style=3D"font-size:14px;"><span style=3D"line-height:107%">Alan Gath=
erer, EIC CTN</span></span></span></p>
</div>

<div style=3D"margin: 0in 0in 0.0001pt;">&nbsp;</div>
</div>

<div style=3D"text-align: center;">
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" style=3D"text-decoration: none;" target=3D"_blank"><span style=3D"color:#0=
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<p style=3D"margin: 0in 0in 8pt; text-align: left;"><span style=3D"font-size=
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