SLA-based content adaptation framework for optimizing QoE and energy consumption

Mobile device advancement and popularity has changed the way we consumed web content. However, the heterogeneity properties of mobile devices, subscribed network as well as its users lead to mismatch problem. The content adaptation system is the most viable solution for this issue. Most previous works in ADTE adapt the MPEG-21 Digital Item Adaptation (DIA) specification. However, only few work on optimizing energy consumption as well as quality of experience as a vision in Universal Multimedia Experience (UME). This paper proposes a framework of an adaptation decision-taking engine based on Service Level Agreement (SLA) and uses MPEG-21 Digital Item Adaptation specification. The SLA mechanism is integrated in this framework to enable more flexible decision-making process in the content adaptation system. This flexibility will support optimum QoE based on device current property status.

[1]  Gabriel-Miro Muntean,et al.  Battery and Stream-Aware Adaptive Multimedia Delivery for wireless devices , 2010, IEEE Local Computer Network Conference.

[2]  Mikio Hasegawa,et al.  Measurement and usage of power consumption parameters of wireless interfaces in energy-aware multi-service mobile terminals , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[3]  Christian Timmerer,et al.  Efficient MPEG-21-based adaptation decision-taking for scalable multimedia content , 2007, Electronic Imaging.

[4]  Ming-Syan Chen,et al.  Versatile Transcoding Proxy for Internet Content Adaptation , 2008, IEEE Transactions on Multimedia.

[5]  Roy Fielding,et al.  Architectural Styles and the Design of Network-based Software Architectures"; Doctoral dissertation , 2000 .

[6]  Mohd Farhan,et al.  Broker-based service-oriented content adaptation framework , 2011 .

[7]  Minglu Li,et al.  Sensing Human-Screen Interaction for Energy-Efficient Frame Rate Adaptation on Smartphones , 2015, IEEE Transactions on Mobile Computing.

[8]  Rosziati Ibrahim,et al.  A Survey on Content Adaptation Systems towards Energy Consumption Awareness , 2013, Adv. Multim..

[9]  John R. Smith,et al.  Adapting Multimedia Internet Content for Universal Access , 1999, IEEE Trans. Multim..

[10]  Mukaddim Pathan,et al.  Network and Traffic Engineering in Emerging Distributed Computing Applications , 2012 .

[11]  Athman Bouguettaya,et al.  Reputation Bootstrapping for Trust Establishment among Web Services , 2009, IEEE Internet Computing.

[12]  Jemal H. Abawajy,et al.  Management of Service Level Agreement for Service-Oriented Content Adaptation Platform , 2012 .

[13]  Cristina Hava Muntean,et al.  Subjective Assessment of BitDetect—A Mechanism for Energy-Aware Multimedia Content Adaptation , 2012, IEEE Transactions on Broadcasting.

[14]  Aggelos K. Katsaggelos,et al.  Power-Aware Mobile Multimedia: a Survey (Invited Paper) , 2009, J. Commun..

[15]  Jemal H. Abawajy,et al.  Request-Driven Cross-Media Content Adaptation Technique , 2010 .

[16]  Carlo Ghezzi,et al.  Fundamentals of Software Engineering , 2011, Lecture Notes in Computer Science.

[17]  Rik Van de Walle,et al.  The MPEG-21 Book , 2006 .

[18]  Roberto De Virgilio,et al.  Rule-based Adaptation of Web Information Systems , 2007, World Wide Web.

[19]  Somnuk Phon-Amnuaisuk,et al.  Computational Intelligence in Information Systems - Proceedings of the Fourth INNS Symposia Series on Computational Intelligence in Information Systems (INNS-CIIS 2014), Bandar Seri Begawan, Brunei, November 7-9, 2014 , 2015, INNS-CIIS.

[20]  Francis C. M. Lau,et al.  User-Centric Content Negotiation for Effective Adaptation Service in Mobile Computing , 2003, IEEE Trans. Software Eng..

[21]  Hermann Hellwagner,et al.  A Framework for Utility-Based Multimedia Adaptation , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[22]  Mohd Farhan Md Fudzee,et al.  A Survey on Energy-Aware Profiler for Mobile Devices , 2014, INNS-CIIS.

[23]  Ian Burnett,et al.  Universal multimedia experiences for tomorrow , 2003 .

[24]  José Manuel Menéndez,et al.  Efficient personalized scalable video adaptation decision-taking engine based on MPEG-21 , 2011, 2011 IEEE International Conference on Consumer Electronics (ICCE).

[25]  Göte Nyman,et al.  Experienced quality factors: qualitative evaluation approach to audiovisual quality , 2007, Electronic Imaging.

[26]  Stephen J. H. Yang,et al.  Enhancing pervasive Web accessibility with rule-based adaptation strategy , 2007, Expert Syst. Appl..

[27]  Rosziati Ibrahim,et al.  Classifying content adaptation systems based on energy-aware requirements , 2013, 2013 8th International Conference on Information Technology in Asia (CITA).

[28]  Oliver Hohlfeld,et al.  Impact of frame rate and resolution on objective QoE metrics , 2010, 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX).