[hpc-announce] Special Issue on Software Tools and Technologies for Delivering Smart Media-Optimized Applications in the CLOUD

[Chang Liu]

*Computing Journal*

*Publisher: **Springer*



*Guest Editors: Rajiv Ranjan, Dimitrios Georgakopoulos, Lizhe Wang***



**** Call for Papers ****



CISCO (a network technology giant) predicts that by 2016, 90% of internet
traffic will be multimedia content (3D images, high resolution video, and
audio). In addition to entertainment and advertising applications, the new
multimedia content-driven applications in the domain of healthcare,
aged-care, surveillance, and education will contribute significantly to
this traffic. The new applications’ contribution to the traffic will be due
to their unprecedented processing (storage, distribution, and indexing)
requirements for hundreds of petabytes of content. In the *healthcare domain
*, live as well as archived videos will be used as a medium to educate
patients about the aftercare treatment (follow-ups), once the patient is at
home.  This will include video instructions about how to change the
dressing on a healing wound or how to brush their teeth after having braces
installed. Other scenario from healthcare domain will arise from the
problem of managing petabytes of multimedia content produced by advanced
medical imaging devices. In the *aged-care domain*, health professional
will rely on real-time or recorded video feeds from patient’s home  to
monitor clinical signs and indicators such as skin color, mood, affect, and
to determine whether a patient is utilizing devices and medications
appropriately. In the *surveillance domain*, governments, small businesses,
and individuals will need to deal with stream of video content from
security cameras and perform analytics (event detection, event tracking,
and alert generation) on-the-fly for protecting citizens, homes and
nations’ critical infrastructures. Finally, in the *education domain*,
students will need to have the opportunity to access teachers from home;
especially, the students in rural or remote areas need an opportunity to be
able to receive interactive lessons or instructions via live video
streaming, from specialised teachers or trainers who are not available
locally.



In the aforementioned application scenarios: (i) hundreds of petabytes of
multimedia content will be generated in real-time as well as offline which
will be required to be efficiently processed (stored, distributed, and
indexed with a schema and semantics) in a way that does not compromise
end-users’ Quality of Service (QoS) in terms of content availability,
content search delay, content analysis delay, and the like and (ii) the
information retrieved from content will be consumed and processed in many
places concurrently and collaboratively.  Many of the existing ICT
(Information and Communication Technology) infrastructures that store,
distribute, and index hundreds of petabytes of multimedia content fall
short of this challenge or do not exist.  Hence, we need more powerful and
fast ICT infrastructures that can support scalable storage, indexing, and
distribution of petabytes of multimedia content produced by aforementioned
applications.

 We believe that Cloud computing infrastructures (e.g., Amazon, Microsoft
Azure, etc.) in conjunction with fast communication infrastructure will
emerge as the platform for hosting and delivering aforementioned
multimedia-content driven applications. Cloud computing assembles large
networks of virtualised ICT services such as hardware resources (such as
CPU, storage, and network), software resources (such as databases,
application servers, and web servers) and applications. Cloud computing
services are hosted in large data centres, often referred to as data farms,
operated by companies such as Amazon, Apple, Google, and Microsof Azure. In
industry these services are referred to as Infrastructure as a Service
(IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Cloud computing gives multimedia application developers the ability to
marshal virtually infinite resources with an option to pay-per-use and as
needed, instead of requiring upfront investments in resources that may
never be optimally used. Once multimedia applications are hosted on cloud
infrastructures, users are able to access them from anywhere at any time,
using devices ranging from smartphones to desktop computers. While Cloud
computing optimises the use of resources, it does not (yet) provide an
effective solution hosting multimedia content-driven applications which has
to process tsunami (often in real-time) of content from heterogeneous
sources such as surveillance camera, medical imaging devices, etc.

Developing a software tools and technologies that can support end-to-end
lifecycle operations of different multimedia content-driven applications on
Cloud infrastructures (while ensuring the QoS targets) remains a
challenging research problem. This challenge mainly arises from the
uncertainty posed by application workloads (streaming vs. static content),
resources capacity demands (e.g., bandwidth, memory, storage, and
processors), failures (e.g., failure of a network link), access patterns
(e.g., number of end-users and location), different device types (e.g.,
mobile phone, laptop, and smart TV), indexing needs (e.g., text and content
based), and different network types (e.g. wired and wireless).



*Topics*

Novel software tools, techniques, and technologies for delivering
smart media-optimized applications in the CLOUD, but not limited to:



-      Cloud-based petabyte multimedia content storage tools and
indexing algorithms

-      Techniques for petabyte efficient non-SQL indexing of multimedia content

-      Statistical  multimedia application workload estimation and
related cloud service optimization

-      Network QoS aware provisioning of multimedia applications

-      Techniques for provisioning multimedia applications in
collaborative environments

-      Autonomic techniques for provisioning cloud services to
multimedia applications

-      Techniques for content personalization and adaptation

-      Innovative application case study from healthcare, aged care,
surveillance, and education domains


*Important Dates*

* *

November 1, 2013               Paper submission deadline

February 1, 2014                 First notification

March 1, 2014                     Revision submission

April   1, 2014                      Second notification

May 1, 2014                        Final version submission



Paper Submisison

   - The editors of the special issue are Rajiv Ranjan, Dimitrios
   Georgeakopoulos, and Lizhe Wang
   - Please submit a paper to Springer Editorial
System<https://www.editorialmanager.com/comp/>for special issue
   *by November 1, 2013*
    - *Please select Special Issue Paper as your manuscript type, and enter
      “Media Cloud” as both the Special Issue title and as your
Preferred Editor*
   - Papers submitted to this special issue for possible publication must
   be original and must not be under consideration for publication in any
   other journal or conference.
   - Previously published or accepted conference papers must contain at
   least 30% new material to be considered for the special issue.
   - There is a 20 page length limit (12 point single space inclusive of
   figures and tables).
   - Springer has Latex
templates<http://www.springer.com/computer/journal/607?detailsPage=pltci_1060244>but
no special templates for Word; most papers are submitted in Word.
   Either Latex OR Word accepted.

*Selection and Evaluation Criteria*

-      Significance to the readership of the journal

-      Relevance to the special issue

-      Originality of idea, technical contribution, and significance of the
presented results

-      Quality, clarity, and readability of the written text

-      Quality of references and related work

-      Quality of research hypothesis, assertions, and conclusion





*Guest Editors*

* *

*Dr. Rajiv Ranjan – Corresponding Guest Editor*

Research Scientist and Project Leader, Information Engineering Laboratory

CSIRO ICT Centre, GPO Box 664, Canberra, ACT 2601

Email: raj.ranjan at csiro.au

* *

*Prof. Dimitrios Georgakopoulos*

Research Director, Information Engineering Laboratory

CSIRO ICT Centre, GPO Box 664, Canberra, ACT 2601

Email: dimitrios.georgakopoulos at csiro.au

* *

*Prof. Lizhe Wang*

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

No.9 Dengzhuang South Road, Hadian District

Beijing 100094, P.R. China

Email:lzwang at ceode.ac.cn
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