posted by user: GraceLewis || 5970 views || tracked by 15 users: [display]

AMeS 2014 : Workshop on Architecting Mobile-enabled Systems

FacebookTwitterLinkedInGoogle

Link: http://ames2014.di.univaq.it
 
When Apr 8, 2014 - Apr 8, 2014
Where Sydney, Australia
Submission Deadline Apr 6, 2014
Notification Due Jan 26, 2014
Final Version Due Feb 10, 2014
Categories    mobile computing   mobile systems   software architecture
 

Call For Papers

Workshop on Architecting Mobile-enabled Systems (AMeS 2014)

In conjunction with the 11th Working IEEE/IFIP Conference on Software Architecture (WICSA 2014)
April 8, 2014 — Sydney, Australia
http://ames2014.di.univaq.it/

Important Dates

Submission Deadline: December 6, 2013
Acceptance Notification: January 26, 2014
Camera-Ready Version: February 10, 2014

BACKGROUND

Mobile apps and smartphones are only one instance of today’s mobile computing technology. RFID tags, sensor nodes, and computing-enabled mobile devices are all components of the current mobile computing paradigm. These devices are being integrated into enterprise systems and mission-critical systems as a way to collect, access, and analyze data in the field. From a systems and software architecture perspective, mobile devices and sensors are being integrated into IT solutions and re-shaping the way that systems are built. We call these systems mobile-enabled systems. In these systems the mobile device is not simply a “unit” but rather a “node” that is part of a much larger system.

Traditionally, mobile app development has been ad hoc, driven by short time-to-market schedules, small short-lived apps, and different economics, to the point that there is an apparent regression in quality of mobile apps compared to desktop and enterprise systems. Larger-scale mobile-enabled systems require a much more mature development approach, with a focus on software architecture principles that promote important quality attributes such as security, performance, battery optimization, and reliability on the mobile device, as well as resilience, reliability, security, privacy and scalability on the enterprise side. The impact that mobility has on software architecture and how the software architecture research community can help address these and other relevant issues will be discussed in the AMeS workshop, thus providing new insights on the key challenges faced by architects of mobile-enabled systems.

The goal of AMeS 2014 is therefore to create a focal point and an ongoing forum for researchers and practitioners to share results and open issues in the area of software architectures for mobile-enabled systems.

TOPICS

AMeS 2014 seeks contributions in topics, such as:
* Tactics for quality attributes such as availability, scalability, reliability, resiliency, testability, security and privacy in mobile-enabled systems
* Architecture evaluation of mobile-enabled systems
* Novel software architectures for scalably supporting data collection and synchronization across mobile devices
* Tactics for resource optimization of mobile devices
* Context-aware and adaptable mobile-enabled systems
* Dynamic and context-aware composition of user-interfaces for mobile-enabled systems
* Architectures for data-driven computing
* Model-driven techniques for architecture, design, analysis and implementation of mobile-enabled systems
* Empirical studies, case studies and industry experiences
* Generative approaches (e.g., models and DSLs) to assist in managing the complexity resulting from the heterogeneous composition of mobile-enabled platforms

SUBMISSION AND REVIEW PROCESS

The submission and review process will be done using EasyChair (https://www.easychair.org/conferences/?conf=ames2014). Submissions must follow the ACM formatting style guidelines, as noted on the AMeS web page. All accepted papers will be published in the conference electronic proceedings and the ACM Digital Library. To encourage discussion, the page limit for papers is 6 pages.

WORKSHOP CO-ORGANIZERS

Grace A. Lewis
Carnegie Mellon Software Engineering Institute, USA

Henry Muccini
University of L’Aquila, Italy

Antonio Bucchiarone
Fondazione Bruno Kessler, Italy

Nenad Medvidovic
University of Southern California, USA

WEBMASTER

Ivano Malavolta
University of L’Aquila, Italy


PROGRAM COMMITTEE (TBC)

* Jonathan Aldrich, Carnegie Mellon University, USA
* Rami Bahsoon, University of Birmingham, UK
* Licia Capra, University College London, UK
* Luis Corral, Free University of Bolzano, Italy
* Wolfgang Emmerich, University College London, UK
* Mohamed E. Fayad, San Jose State University, USA
* Patricia Lago, VU University Amsterdam, The Netherlands
* Ivano Malavolta, University of L'Aquila, Italy
* Sam Malek, George Mason University, USA
* Ali Mesbah, University of British Columbia, Canada
* Leonardo Mostarda, Middlesex University, UK
* Iulian Neamtiu, University of California – Riverside, USA
* Chris Parnin, Georgia Institute of Technology, USA
* Cesare Pautasso, University of Lugano, Switzerland
* Luigi Pomante, University of L'Aquila, Italy
* Todd Sedano, Carnegie Mellon Silicon Valley, USA
* Bradley Schmerl, Carnegie Mellon University, USA
* Mike Smit, Dalhousie University, Canada

Related Resources

IJMNCT 2026   International Journal of Mobile Network Communications & Telematics
VCOI 2026   4th International Conference on Vision and Computational Intelligence
FAIML 2027   6th International Conference on Frontiers of Artificial Intelligence and Machine Learning
ACITY 2026   16thInternational Conference on Advances in Computing and Information Technology
ICIAI--EI 2027   2027 the 11th International Conference on Innovation in Artificial Intelligence (ICIAI 2027)
SEMIT 2026   7th International Conference on Software Engineering and Managing Information Technology
ICNLP--EI 2027   2027 The 9th International Conference on Natural Language Processing (ICNLP 2027)
UBIC 2026   17th International Conference on Ubiquitous Computing
Persistence 2026   Persistence: Complexity Science, Information Theory, and the Study of Mind — Inaugural Volume (ICSAC)
FIDTA 2026   2nd Workshop on Federated Intelligence and Digital Twins for Autonomous Systems and IoT