Nothing Special   »   [go: up one dir, main page]

skip to main content
survey

Mapping QoE through QoS in an Approach to DDB Architectures: Research Analysis and Conceptualization

Published: 03 November 2015 Publication History

Abstract

In the context of distributed databases (DDBs), the absence of mathematically well defined equations to evaluate quality of service (QoS), especially with statistical models, seems to have taken database community attention from the possible performance guarantees that could be handled by concepts related to quality of experience (QoE). In this article, we targeted the definition of QoE based on completeness of QoS to deal with decisions concerning with performance correction in a system level. This study also presents a statistical bibliometric analysis before the proposed model. The idea was to show the origin of first studies with correlated focus, which also have initial conceptualizations, and then propose a new model. This model concerns concise QoS definitions, grouped to provide a basis for QoE analysis. Afterward, it is foreseen that a DDB system will be able to autoevaluate and be aware of recovering situations before they happen.

References

[1]
NORSIG. 2006. Proceedings of the 7th Nordic Signal Processing Symposium (NORSIG’06).
[2]
SPIE-IS. 2011. Proceedings of SPIE-IS and T electronic imaging—multimedia on mobile devices 2011, and multimedia content access—algorithms and systems V. In Proceedings of SPIE: The International Society for Optical Engineering, Vol. 7881.
[3]
IC-NIDC. 2012. Proceedings of the 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC’12).
[4]
QoMEX. 2012. Proceedings of the 4th International Workshop on Quality of Multimedia Experience (QoMEX’12).
[5]
ICETE. 2013. Proceedings of the 10th International Joint Conference on ICETE 2013; Proceedings of the 4th International Conference on DCNET 2013; Proceedings of the 10th International Conference on ICE-B 2013 and OPTICS 2013; and Proceedings of the 4th International Conference on Optical Communication Systems.
[6]
W. Abramowicz, M. Kaczmarek, M. Kowalkiewicz, and D. Zyskowski. 2006. Architecture for service profiling. In Proceedings of Services Computing Workshops.
[7]
A. Alvarez, S. Cabrero, X. G. Paneda, R. Garcia, D. Melendi, and R. Orea. 2011. A flexible QoE framework for video streaming services. In Proceedings of the IEEE GLOBECOM Workshops (GC Wkshps’11). IEEE, Los Alamitos, CA, 1226--1230.
[8]
J. Angelopoulos, K. Kanonakis, H. C. Leligou, T. Orfanoudakis, and M. Katsigiannis. 2008. Dynamic QoS provisioning for Ethernet-based networks. In Proceedings of the International Electronic Conference on Computer Science (AIP Conference Proceedings), Vol. 1060. 151--154.
[9]
D. Balduzzi and G. Tononi. 2009. Qualia: The geometry of integrated information. In PLoS Computational Biology, Vol. 5.
[10]
M. Barkowsky, J. Li, T. Han, S. Youn, J. Ok, C. Lee, C. Hedberg, I. V. Ananth, K. Wang, K. Brunnstrm, and P. Le Callet. 2013. Towards standardized 3DTV QoE assessment: Cross-lab study on display technology and viewing environment parameters. In Proceedings of SPIE: The International Society for Optical Engineering, Vol. 8648.
[11]
I. B. Barla, D. A. Schupke, and G. Carle. 2012. Resilient virtual network design for end-to-end cloud services. In NETWORKING 2012. Lecture Notes in Computer Science, Vol. 7289. Springer, 161--174.
[12]
I. B. Barla, D. A. Schupke, M. Hoffmann, and G. Carle. 2013. Optimal design of virtual networks for resilient cloud services. In Proceedings of the 2013 9th International Conference on the Design of Reliable Communication Networks, (DRCN’13). 218--225.
[13]
N. Bhatti, A. Bouch, and A. Kuchinsky. 2000. Integrating User-Perceived Quality into Web Server Design. Technical Report HPL-2000-3. Hewlett-Packard Labs.
[14]
A. Bouch, N. Bhatti, and A. Kuchinsky. 2000. Quality Is the Eye of the Beholder: Meeting User’s Requirements for Internet Quality of Service. Technical Report HPL-2000-4. Hewlett-Packard Labs.
[15]
P. Brooks and B. Hestnes. 2010. User measures of quality of experience: Why being objective and quantitative is important. In IEEE Network, Vol. 24. IEEE, Los Alamitos, CA, 8--13.
[16]
P. Le Callet, S. Möller, and A. Perkis. 2013. QualiNet white paper on definitions of quality of experience. In European Network on Quality of Experience in Multimedia Systems and Services (COST Action IC 1003), Lausanne (Ed.). Switzerland. Version 1.2.
[17]
Y. Cao, C. Ritz, and R. Raad. 2013. How much longer to go? The influence of waiting time and progress indicators on quality of experience for mobile visual search applied to print media. In Proceedings of the 2013 5th International Workshop on Quality of Multimedia Experience (QoMEX’13). 112--117.
[18]
A. Caruana. 2002. Service loyalty: The effects of service quality and the mediating role of customer satisfaction. European Journal of Marketing 36, 7--8, 811--828.
[19]
D. Chang, G. Xu, L. Hu, and K. Yang. 2013. A network-aware virtual machine placement algorithm in mobile cloud computing environment. In Proceedings of the 2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW’13). 117--121.
[20]
C. Chen, L. K. Choi, G. De Veciana, C. Caramanis, R. W. Heath Jr., and A. C. Bovik. 2013. A dynamic system model of time-varying subjective quality of video streams over HTTP. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. 3602--3606.
[21]
Find Your Cloud. 2013. The Definition of Customer Quality of Experience. Retrieved September 29, 2015, from https://www.findyourcloud.com/Articles/Quality-of-Experience/The-Definition-of-Customer-Quality-of-Experience/.
[22]
Find Your Cloud. 2014. Quality of Experience Articles. Retrieved September 29, 2015, from https://www.findyourcloud.com/Articles/Quality-of-Experience/.
[23]
M. Crotti, D. Ferri, F. Gringoli, M. Peli, and L. Salgarelli. 2011. PP2db: A privacy-preserving, P2P-based scalable storage system for mobile networks. In Security and Privacy in Communication Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering. Springer, 533--542.
[24]
NoSQL Databases. 2014. NoSQL Home Page. Retrieved September 29, 2015, from http://nosql-database.org/.
[25]
R. L. de Carvalho Costa and P. Furtado. 2011. Quality of experience in distributed databases. Distributed and Parallel Databases 29, 5--6, 361--396.
[26]
R. L. de Carvalho Costa and P. Furtado. 2013. Providing quality of experience for users: The next DBMS challenge. Computer 46, 9, 86--93.
[27]
R. B. D’ Agostino. 1970. Transformation to normality of the null distribution of g1. Biometrika 57, 679--681.
[28]
T. Erl, R. Puttini, and Z. Mahmood. 2013. Cloud Computing: Concepts, Technology & Architecture. Prentice Hall.
[29]
A. Fiorese, P. Simoes, and F. Boavida. 2011. An approach to peer selection in service overlays. In Proceedings of the 7th International Conference on Network and Service Management (CNSM’11).
[30]
A. Fiorese, P. Simoes, and F. Boavida. 2012. Peer selection in P2P service overlays using geographical location criteria. In Computational Science and Its Applications—ICCSA 2012. Lecture Notes in Computer Science, Vol. 7334. Springer, 234--248.
[31]
A. Fiorese, P. Simoes, and F. Boavida. 2013. Approach for service search and peer selection in P2P service overlays. In Proceedings of the 27th International Conference on Information Networking (ICOIN’13). IEEE, Los Alamitos, CA.
[32]
K. Fliegel, S. Vitek, T. Jindra, P. Pata, and M. Klima. 2012. Comparison of stereoscopic technologies in various configurations. In Proceedings of the Conference on Applications of Digital Images Processing XXXV (Proceedings of SPIE), Vol. 8499.
[33]
A. Floris, L. Atzori, G. Ginesu, and D. D. Giusto. 2012. QoE assessment of multimedia video consumption on tablet devices. In Proceedings of the IEEE Globecom Workshops (GC Wkshps’12). IEEE, Los Alamitos, CA.
[34]
J. Forlizzi and S. Ford. 2000. Building blocks of experience: An early framework for interaction designers. In Proceedings of the Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques (DIS’00). ACM, New York, NY, 419--423.
[35]
G. Fortetsanakis, M. Katsarakis, M. Plakia, N. Syntychakis, and M. Papadopouli. 2012. Supporting wireless access markets with a user-centric QoE-based geo-database. In Proceedings of the 7th ACM International Workshop on Mobility in the Evolving Internet Architecture (MobiArch’12). 29--36.
[36]
L. Goldmann, J.-S. Lee, and T. Ebrahimi. 2010a. Temporal synchronization in stereoscopic video: Influence on quality of experience and automatic asynchrony detection. In Proceedings of the IEEE International Conference on Image Processing. IEEE, Los Alamitos, CA, 3241--3244.
[37]
L. Goldmann, F. De Simone, and T. Ebrahimi. 2010b. A comprehensive database and subjective evaluation methodology for quality of experience in stereoscopic video. In Proceedings of SPIE: The International Society for Optical Engineering, Vol. 7526.
[38]
Y. Gong, F. Yang, L. Huang, and S. Su. 2009. Model-based approach to measuring quality of experience. In Proceedings of the 1st International Conference on Emerging Network Intelligence. IEEE, Los Alamitos, CA, 29--32.
[39]
C. Gronroos. 1984. A service quality model and its market implications. European Journal of Marketing 18, 4, 36--44.
[40]
Y. He, C. Wang, H. Long, and K. Zheng. 2012. PNN-based QoE measuring model for video applications over LTE system. In Proceedings of the 7th International ICST Conference on Communications and Networking in China (CHINACOM’12). IEEE, Los Alamitos, CA.
[41]
D. Heimbigner and D. McLeod. 1985. A federated architecture for information management. ACM Transactions on Information Systems 3, 3, 253--278.
[42]
A. Hines, J. Skoglund, A. Kokaram, and N. Harte. 2013. Robustness of speech quality metrics to background noise and network degradations: Comparing ViSQOL, PESQ and POLQA. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’13). 3697--3701.
[43]
Y. Honda, H. Ninomiya, and Y. Sassa. 2001. Development of cabin air quality system. In Proceedings of the SAE 2001 World Congress.
[44]
K. R. Hoogeboom. 1989. Restoration and development guidelines for ocean beach recreation areas. In Proceedings of the 6th Symposium on Coastal and Ocean Management (Coastal Zone’89), Vol. 4. 3120--3134.
[45]
A. Turner II and L. T. Nowell. 2000. Beyond the desktop: Diversity and artistry. In Proceedings of the Conference on Human Factors in Computing Systems (CHI EA’00). 35--36.
[46]
ISO 9241-210. 2010. ISO 9241-210:2010-Human-Centred Design Processes for Interactive Systems. Retrieved September 29, 2015, from http://www.iso.org/iso/catalogue_detail.htm?csnumber=21197
[47]
ITU-T.P.862. 2001. Perceptual Evaluation of Speech Quality (PESQ): An Objective Method for End-to-End Speech Quality Assessment of Narrow-Band Telephone Networks and Speech Codecs. Technical Report. Telecommunication Standardization Sector of ITU, Geneva, Switzerland.
[48]
C. M. Jarque and A. K. Bera. 1980. Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economic Letters 6, 3, 255--259.
[49]
S. Jelassi and G. Rubino. 2011a. A comparison study of automatic speech quality assessors sensitive to packet loss burstiness. In Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC’11). 415--420.
[50]
S. Jelassi and G. Rubino. 2011b. A study of artificial speech quality assessors of VoIP calls subject to limited bursty packet losses. Eurasip Journal on Image and Video Processing 2011, 9.
[51]
A. Khan, L. Sun, and E. Ifeachor. 2012. QoE prediction model and its application in video quality adaptation over UMTS networks. IEEE Transactions on Multimedia 14, 431--442.
[52]
H.-J. Kim, D.-H. Lee, J.-M. Lee, K.-H. Lee, W. Lyu, and S.-G. Choi. 2008. The QoE evaluation method through the QoS-QoE correlation model. In Proceedings of the 4th International Conference on Networked Computing and Advanced Information Management (NCM’08), Vol. 2. IEEE, Los Alamitos, CA, 719--725.
[53]
A. A. Laghari, K. U. R. Laghari, M. Ibrahim, and T. H. Falk. 2012. QON: Quality of experience (QoE) framework for network services. In Proceedings of the 4th International Conference on Software Technology and Engineering (ICSTE’12).
[54]
J.-S. Lee. 2012. Comparison of objective quality metrics on the scalable extension of H.264/AVC. In Proceedings of the International Conference on Image Processing (ICIP’12). 693--696.
[55]
J.-S. Lee, L. Goldmann, and T. Ebrahimi. 2013. Paired comparison-based subjective quality assessment of stereoscopic images. In Multimedia Tools and Applications, Vol. 67. Springer, 31--48.
[56]
R. C. Lewis and B. H. Booms. 1983. The marketing aspects of service quality. In Emerging Perspectives in Service Marketing, L. L. Berry, G. Shostack, and G. Upah (Eds.). American Marketing Association, Chicago, IL, 99--107.
[57]
M. Li, Z. Chen, and Y.-P. Tan. 2012a. QoE analysis for scalable video adaptation. In Proceedings of IEEE Visual Communications and Image Processing (VCIP’12). IEEE, Los Alamitos, CA, 1--6.
[58]
M. Li, Z. Chen, and Y.-P. Tan. 2012b. QoE-aware resource allocation for scalable video transmission over multiuser MIMO-OFDM systems. In Proceedings of IEEE Visual Communications and Image Processing (VCIP’12). IEEE, Los Alamitos, CA.
[59]
M. Li, Z. Chen, and Y.-P. Tan. 2013. On Quality of Experience of Scalable Video Adaptation, Vol. 24. Academic Press, 509--521.
[60]
X. Liu, C. Sun, and L. T. Yang. 2013. DCT-based objective quality assessment metric of 2D/3D image. In Multimedia Tools and Applications, 1--18.
[61]
M. Loukil, M. Zekri, T. Ghariani, and B. Jouaber. 2012. A reputation based vertical handover decision making framework (R-VHDF). In Proceedings of the IEEE Globecom Workshops (GC Wkshps’12). IEEE, Los Alamitos, CA.
[62]
A. E. Mahdi and D. Picovici. 2010. New single-ended objective measure for non-intrusive speech quality evaluation. In Signal Image and Video Processing, Vol. 4. Springer, London, 23--38.
[63]
Z. Mai, C. Doutre, P. Nasiopoulos, and R. K. Ward. 2012. Rendering 3-D high dynamic range images: Subjective evaluation of tone-mapping methods and preferred 3-D image attributes. IEEE Journal of Selected Topics in Signal Processing, 6, 597--610.
[64]
R. Mielke, A. Zahralddin, D. Padam, and T. Mastaglio. 1998. Simulation applied to theme park management. In Proceedings of the 1998 Winter Simulation Conference (WSC’98), Part 1, Vol. 2. IEEE, Los Alamitos, CA, 1199--1203.
[65]
MobiArch. 2012. Proceedings of the 7th ACM International Workshop on Mobility in the Evolving Internet Architecture (MobiArch’12).
[66]
S. Möller, F. Hinterleitner, T. H. Falk, and T. Polzehl. 2010. Comparison of approaches for instrumentally predicting the quality of text-to-speech systems. In Proceedings of the 11th Annual Conference of the International Speech-Communication Association, Vol. 1--2. 1325--1328.
[67]
S. Möller and A. Raake (Eds.). 2014. Quality of Experience: Advanced Concepts, Applications, and Methods. Springer.
[68]
K. De Moor, I. Ketyko, W. Joseph, T. Deryckere, L. De Marez, L. Martens, and G. Verleye. 2010. Proposed framework for evaluating quality of experience in a mobile, testbed-oriented living lab setting. In Mobile Networks & Applications, Vol. 15. Springer, 378--391.
[69]
A. K. Moorthy and A. C. Bovik. 2011. Visual quality assessment algorithms: What does the future hold? In Multimedia Tools and Applications, Vol. 51. 675--696.
[70]
A. K. Moorthy and A. C. Bovik. 2013. A survey on 3D quality of experience and 3D quality assessment. In Proceedings of SPIE: The International Society for Optical Engineering, Vol. 8651. Burlingame, CA.
[71]
A. K. Moorthy, C.-C. Su, A. Mittal, and A. Conrad Bovik. 2013. Subjective evaluation of stereoscopic image quality. In Signal Processing Image Communication, Vol. 28. Elsevier Science BV, 870--883.
[72]
M. G. Morris and J. M. Turner. 2001. Assessing users’ subjective quality of experience with the World Wide Web: An exploratory examination of temporal changes in technology acceptance. International Journal of Human-Computer Studies 54, 6, 877--901.
[73]
C. Moy, L. Doyle, and Y. Sanada. 2009. Foreword-cognitive radio: From equipment to networks. In Annales des Telecommunications/Annals of Telecommunications, Vol. 64. 415--417.
[74]
M. S. Mushtaq, B. Augustin, and A. Mellouk. 2012. Empirical study based on machine learning approach to assess the QoS/QoE correlation. In Proceedings of the 17th European Conference on Network and Optical Communications (NOC’12), and the 7th Conference on Optical Cabling and Infrastructure (OC and I’12).
[75]
I. Papafili, J. Rückert, P. Poullie, S. Soursos, T. Bocek, K. Wajda, D. Hausheer, G. D. Stamoulis, and B. Stiller. 2013. SmartenIT cloud traffic management approach and architectural considerations. In Proceedings of the Future Network and Mobile Summit (FutureNetworkSummit’13).
[76]
M. P. Papazoglou, J. Bubenko, and M. Norrie. 1988. INTENT: An integrated environment for distributed heterogeneous databases. In Proceedings of the 1988 ACM SIGPLAN Workshop on Object-Based Concurrent Programming (OOPSLA/ECOOP’88). ACM, New York, NY, 126--128.
[77]
A. Parasuraman, V. A. Zeithaml, and L. L. Bery. 1985. A conceptual model of service quality and its implication for future research. Journal of Marketing 49, 41--50.
[78]
A. Parasuraman, V. A. Zeithaml, and L. L. Bery. 1988. SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing 64, 1, 12--40.
[79]
A. Parasuraman, V. A. Zeithaml, and L. L. Bery. 1994. Alternative scales for measuring service quality: A comparative assessment based on psychometric and diagnostic criteria. Journal of Retailing 70, 3, 201--30.
[80]
F. Qi, T. Jiang, S. Ma, and D. Zhao. 2012. Quality of experience assessment for stereoscopic images. In Proceedings of the IEEE International Symposium on Circuits and Systems. IEEE, Los Alamitos, CA, 1712--1715.
[81]
E. Redd, T. J. Gay, D. M. Blankenship, J. T. Park, J. L. Peacher, and D. G. Seely. 1987. Measurements of helium excitation in Be+-He and Mg+-He collisions. Nuclear Inst ruments and Methods in Physics Research B, 24--25. 305--308.
[82]
A. Rehman and Z. Wang. 2013. Perceptual experience of time-varying video quality. In Proceedings of the 2013 5th International Workshop on Quality of Multimedia Experience (QoMEX’13). 218--223.
[83]
Thomson Reuters. 2013. Web of Knowledge at Web of Science v.5.1.3.1. Retrieved September 29, 2015, from http://apps.webofknowledge.com.
[84]
S. Richter and A. Bohm. 2006. A location and privacy service enabler for context-aware and location-based services in NGN. In Proceedings of the Telecommunications Network Strategy and Planning Symposium.
[85]
K. Sato and W. Verplank. 2000. Panel: Teaching tangible interaction design. In Proceedings of the Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques (DIS’00). ACM, New York, NY, 444--445.
[86]
I. Sedano, M. Kihl, K. Brunnstrom, and A. Aurelius. 2011. Evaluation of video quality metrics on transmission distortions in H.264 coded video. In Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB’11).
[87]
S. S. Shapiro and M. B. Wilk. 1965. An analysis of variance test for normality (complete samples). Biometrika 52, 34, 591--611.
[88]
S. Shenker, C. Partridge, and R. Guerin. 1997. RFC 2212: Specification of Guaranteed Quality of Service. Technical Report. Internet Engineering Task Force (IETF). http://tools.ietf.org/html/rfc2212.
[89]
S. Shenker and J. Wroclawski. 1997. RFC 2216: Network Element Service Specification Template. Technical Report. Internet Engineering Task Force (IETF). http://tools.ietf.org/html/rfc2216.
[90]
Y. Shi, Y. Ding, and J. Li. 2010. A user-perceived video quality assessment metric using inter-frame redundancy. International Journal of Digital Content Technology and Its Applications 4, 151--160.
[91]
D. P. Siewiorek and R. S. Swarz. 1998. Reliable Computer Systems: Design and Evaluation (3rd ed.). Natick, MA: A. K. Peters. https://archive.org/details/reliablecomputer00siew.
[92]
S. Sladojevic, D. Culibrk, M. Mirkovic, D. Ruiz Coll, and G. R. Borba. 2013. Logging real packet reception patterns for end-to-end quality of experience assessment in wireless multimedia transmission. In Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW’13).
[93]
J. M. Smith, P. A. Bernstein, U. Dayal, N. Goodman, T. Landers, K. W. T. Lin, and E. Wong. 1981. Multibase: Integrating heterogeneous distributed database systems. In Proceedings of the AFIPS National Computer Conference. ACM, New York, NY.
[94]
D. Soldani, M. Li, and R. Cuny. 2006. QoS and QoE Management in UMTS Cellular Systems. Wiley.
[95]
N. Staelens, G. Van Wallendael, R. Van De Walle, F. De Turck, and P. Demeester. 2013. High definition H.264/AVC subjective video database for evaluating the influence of slice losses on quality perception. In Proceedings of the 2013 5th International Workshop on Quality of Multimedia Experience (QoMEX’13). 130--135.
[96]
M. Taheri and N. Ansari. 2013. A feasible solution to provide cloud computing over optical networks. IEEE Network, 27, 31--35.
[97]
H. A. Tran, A. Mellouk, and S. Hoceini. 2011. QoE content distribution network for cloud architecture. In Proceedings of the 2011 1st International Symposium on Network Cloud Computing and Applications (NCCA’11). 14--19.
[98]
K. U. R. Laghari, N. Crespi, and K. Connelly. 2012. Towards total quality of experience: A QoE for multimedia services in communication ecosystem. IEEE Communications Magazine 50, 4, 58--65.
[99]
K. U. R. Laghari, N. Crespi, B. Molina, and C. E. Palau. 2011. QoE aware service delivery in distributed environment. In Proceedings of the 2011 International Conference on Advanced Information Networking and Applications (WAINA’11). 837--842.
[100]
B. V. Elsevier. 2013. Scopus Home Page. Retrieved September 29, 2015, from http://www.scopus.com.
[101]
K. Vandenbroucke, K. De Moor, and L. De Marez. 2013. Use- and QoE-related aspects of personal cloud applications: An exploratory survey. In Proceedings of the 2013 5th International Workshop on Quality of Multimedia Experience (QoMEX’13). 36--37.
[102]
D. De Vera, P. Rodriguez-Bocca, and G. Rubino. 2007. QoE monitoring platform for video delivery networks. In IP Operations and Management. Lecture Notes in Computer Science, Vol. 4786. Springer, 131--142.
[103]
Y. Wei, S. H. Son, and J. A. Stankovic. 2004. Maintaining data freshness in distributed real-time databases. In Proceedings of the 16th Euromicro Conference on Real-Time Systems (ECRTS’04). IEEE, Los Alamitos, CA, 251--260.
[104]
M. Wijnants, W. Lamotte, B. De Vleeschauwer, F. De Turck, B. Dhoedt, P. Demeester, P. Lambert, D. Van de Walle, J. De Cock, S. Notebaert, and R. Van de Walle. 2008. Optimizing user QoE through overlay routing, bandwidth management and dynamic transcoding. In Proceedings of the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks, Vols. 1--2. IEEE, Los Alamitos, CA, 557--563.
[105]
K. Wolter and A. van Moorsel. 2001. The Relationship between Quality of Service and Business Metrics: Monitoring, Notification, and Optimization. Technical Report 96. HP Laboratories.
[106]
L. Xing, J. You, T. Ebrahimi, and A. Perkis. 2010a. Estimating quality of experience on stereoscopic images. In Proceedings of the 2010 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS’10).
[107]
L. Xing, J. You, T. Ebrahimi, and A. Perkis. 2010b. An objective metric for assessing quality of experience on stereoscopic images. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP’10). 373--378.
[108]
L. Xing, J. You, T. Ebrahimi, and A. Perkis. 2011. Objective metrics for quality of experience in stereoscopic images. In Proceeding of the 18th IEEE International Conference on Image Processing (ICIP’11). IEEE, Los Alamitos, CA.
[109]
D. Xu, L. Coria, and P. Nasiopoulos. 2010. Guidelines for capturing high quality stereoscopic content based on a systematic subjective evaluation. In Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems (ICECS’10). 162--165.
[110]
D. Xu, L. E. Coria, and P. Nasiopoulos. 2012. Guidelines for an improved quality of experience in 3-D TV and 3-D mobile displays. Journal of the Society for Information Display 20, 397--407.
[111]
K. Yu, Y. Cao, X. H. Huang, and X. F. Wu. 2010. Analysis of overlay topology of peer-to-peer applications. Journal of China Universities of Posts and Telecommunications, 17, 60--66.
[112]
E. Zerman, G. B. Akar, B. Konuk, and G. Nur. 2013a. Spatiotemporal no-reference video quality assessment model on distortions based on encoding. In Proceedings of the 21st Signal Processing and Communications Applications Conference (SIU’13). IEEE, Los Alamitos, CA.
[113]
E. Zerman, G. B. Akar, B. Konuk, and G. Nur. 2013b. Spatiotemporal no-reference video quality assessment model on distortions based on encoding. In Proceedings of the 21st Signal Processing and Communications Applications Conference (SIU’13).

Cited By

View all
  • (2021)Screen Content Quality Assessment: Overview, Benchmark, and BeyondACM Computing Surveys10.1145/347097054:9(1-36)Online publication date: 8-Oct-2021
  • (2019)Toward a contextual quality of service evaluation approachInternational Journal of Computer Applications in Technology10.5555/3302625.330263459:1(82-94)Online publication date: 1-Jan-2019
  • (2017)Quantifying the Quality of Immersive ExperiencesProceedings of the 2nd International Workshop on Multimedia Alternate Realities10.1145/3132361.3132368(1-2)Online publication date: 27-Oct-2017
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Computing Surveys
ACM Computing Surveys  Volume 48, Issue 2
November 2015
615 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/2830539
  • Editor:
  • Sartaj Sahni
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2015
Accepted: 01 September 2015
Revised: 01 June 2015
Received: 01 November 2014
Published in CSUR Volume 48, Issue 2

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Big data
  2. cloud services
  3. distributed database architectures
  4. quality of experience
  5. quality of service
  6. user’s perspective

Qualifiers

  • Survey
  • Research
  • Refereed

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)15
  • Downloads (Last 6 weeks)1
Reflects downloads up to 25 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2021)Screen Content Quality Assessment: Overview, Benchmark, and BeyondACM Computing Surveys10.1145/347097054:9(1-36)Online publication date: 8-Oct-2021
  • (2019)Toward a contextual quality of service evaluation approachInternational Journal of Computer Applications in Technology10.5555/3302625.330263459:1(82-94)Online publication date: 1-Jan-2019
  • (2017)Quantifying the Quality of Immersive ExperiencesProceedings of the 2nd International Workshop on Multimedia Alternate Realities10.1145/3132361.3132368(1-2)Online publication date: 27-Oct-2017
  • (2017)Assurance of QoS in the integration of cloud services and internet of things2017 International Symposium on Networks, Computers and Communications (ISNCC)10.1109/ISNCC.2017.8072007(1-5)Online publication date: May-2017
  • (2016)Architectural recovering model for Distributed Databases: A reliability, availability and serviceability approach2016 IEEE Symposium on Computers and Communication (ISCC)10.1109/ISCC.2016.7543799(575-580)Online publication date: Jun-2016

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media