Content Web Services Deliverability: A Systematic Review
DOI:
https://doi.org/10.61467/2007.1558.2026.v17i2.1168Keywords:
Content, Service Oriented Architecture, Quality of Service, Deliverability, Systematic Literature Review, Web ServicesAbstract
Content Web Services are Web services whose main function is to deliver files or content. However, deliverability is difficult to measure if methods do not exist or if the attributes involved, such as those related to clients and servers, are not identified. To find the attributes involved, a systematic review was carried out with studies from 2015 to 2024 using the PRISMA method. In the first step, there were 2,660 studies from four digital libraries, after five inclusion and eight exclusion criteria, 79 studies were selected. Most of the works were found to be dealing with improving service architectures or computer networking. The 79 studies were fully read, four studies were finally selected, and only one deals with deliverability. There are platforms and attributes that influence content delivery; however, studies considering Web services for content delivery are very scarce.
Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i2.1168
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References
Abdelmaboud, A., Jawawi, D. N. A., Ghani, I., Elsafi, A., & Kitchenham, B. (2015). Quality of service approaches in cloud computing: A systematic mapping study. Journal of Systems and Software, 101, 159–179. https://doi.org/10.1016/j.jss.2014.12.015
Abdou, W., Darties, B., & Mbarek, N. (2015). An autonomic message dissemination protocol for vehicular ad hoc networks: A density and priority levels aware approach. Wireless Networks, 21(3), 1001–1014. https://doi.org/10.1007/s11276-014-0831-x
Abu-Lebdeh, M., Belqasmi, F., & Glitho, R. (2016). An architecture for QoS-enabled mobile video surveillance applications in a 4G EPC and M2M environment. IEEE Access, 4, 4082–4093. https://doi.org/10.1109/ACCESS.2016.2592919
Ahammad, I., Khan, M. A. R., & Salehin, Z. U. (2021). QoS performance enhancement policy through combining fog and SDN. Simulation Modelling Practice and Theory, 109, 102292. https://doi.org/10.1016/j.simpat.2021.102292
Akhtar, R., Leng, S., Memon, I., Ali, M., & Zhang, L. (2015). Architecture of hybrid mobile social networks for efficient content delivery. Wireless Personal Communications, 80(1), 85–96. https://doi.org/10.1007/s11277-014-1996-4
Akpinar, K., Jafariakinabad, F., Hua, K. A., Nakhila, O., Ye, J., & Zou, C. (2017). Fault-tolerant network-server architecture for time-critical web applications. En 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing (DASC) (pp. 377–384). IEEE. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.79
Al Ridhawi, I., Kotb, Y., & Al Ridhawi, Y. (2017). Workflow-net based service composition using mobile edge nodes. IEEE Access, 5, 23719–23735. https://doi.org/10.1109/ACCESS.2017.2766068
Alam, A. F. B., Soltanian, A., Yangui, S., Salahuddin, M. A., Glitho, R., & Elbiaze, H. (2016). A cloud platform-as-a-service for multimedia conferencing service provisioning. En 2016 IEEE Symposium on Computers and Communication (ISCC) (pp. 289–294). IEEE. https://doi.org/10.1109/ISCC.2016.7543756
Almadani, B. (2015). Drilling data management in petroleum industry based on RTPS. Procedia Computer Science, 56, 325–332. https://doi.org/10.1016/j.procs.2015.07.215
Almadani, B., Al Mamun, A., & Khayyat, A. (2015). Real-time QoS-aware vehicle tracking: An experimental and comparative study. Procedia Computer Science, 56, 349–356. https://doi.org/10.1016/j.procs.2015.07.218
Al-Turjman, F. (2020). Intelligence and security in big 5G-oriented IoNT: An overview. Future Generation Computer Systems, 102, 357–368. https://doi.org/10.1016/j.future.2019.08.009
Apple Inc. (2023). HTTP live streaming (HLS) authoring specification for Apple devices. https://developer.apple.com/documentation/http-live-streaming/hls-authoring-specification-for-apple-devices
Asghari, P., Rahmani, A. M., & Javadi, H. H. S. (2019). Internet of Things applications: A systematic review. Computer Networks, 148, 241–261. https://doi.org/10.1016/j.comnet.2018.12.008
Aygun, B., Gunel Kilic, B., Arici, N., Cosar, A., & Tuncsiper, B. (2021). Application of binary PSO for public cloud resources allocation system of video on demand (VoD) services. Applied Soft Computing, 99, 106870. https://doi.org/10.1016/j.asoc.2020.106870
Bakri, H., Allison, C., Miller, A., & Oliver, I. (2015). HTTP/2 and QUIC for virtual worlds and the 3D web? Procedia Computer Science, 56, 242–251. https://doi.org/10.1016/j.procs.2015.07.204
Barakabitze, A. A., Ahmad, A., Mijumbi, R., & Hines, A. (2020). 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges. Computer Networks, 167, 106984. https://doi.org/10.1016/j.comnet.2019.106984
Barba-Jimenez, C., Ramirez-Velarde, R., Tchernykh, A., Rodríguez-Dagnino, R., Nolazco-Flores, J., & Perez-Cazares, R. (2016). Cloud-based video-on-demand service model ensuring quality of service and scalability. Journal of Network and Computer Applications, 70, 102–113. https://doi.org/10.1016/j.jnca.2016.05.007
Baxmann, M., Kárpáti, K., & Baráth, Z. (2025). A systematic review of the content and delivery of clinical knowledge in orthodontic postgraduate programs. BMC Medical Education, 25(1). https://doi.org/10.1186/s12909-025-07361-x
Bellido, J., Alarcón, R., & Pautasso, C. (2013). Control-flow patterns for decentralized RESTful service composition. ACM Transactions on the Web, 8(1), 1–30. https://doi.org/10.1145/2535911
Bhamare, D., Jain, R., Samaka, M., & Erbad, A. (2016). A survey on service function chaining. Journal of Network and Computer Applications, 75, 138–155. https://doi.org/10.1016/j.jnca.2016.09.001
Bhardwaj, T., & Sharma, S. C. (2018). Cloud-WBAN: An experimental framework for cloud-enabled wireless body area network with efficient virtual resource utilization. Sustainable Computing: Informatics and Systems, 20, 14–33. https://doi.org/10.1016/j.suscom.2018.08.008
Bhattacharyya, A., Agrawal, S., Rath, H. K., & Pal, A. (2018). Improving live-streaming experience for delay-sensitive IoT applications: A RESTful approach. En 2018 IEEE Globecom Workshops (GC Wkshps) (pp. 1–7). IEEE. https://doi.org/10.1109/GLOCOMW.2018.8644521
Bolettieri, S., Bruno, R., & Mingozzi, E. (2021). Application-aware resource allocation and data management for MEC-assisted IoT service providers. Journal of Network and Computer Applications, 181, 103020. https://doi.org/10.1016/j.jnca.2021.103020
Cánovas, A., Taha, M., Lloret, J., & Tomás, J. (2018). Smart resource allocation for improving QoE in IP multimedia subsystems. Journal of Network and Computer Applications, 104, 107–116. https://doi.org/10.1016/j.jnca.2017.12.020
Castiglione, A., Pizzolante, R., De Santis, A., Carpentieri, B., Castiglione, A., & Palmieri, F. (2015). Cloud-based adaptive compression and secure management services for 3D healthcare data. Future Generation Computer Systems, 43–44, 120–134. https://doi.org/10.1016/j.future.2014.07.001
Castillo, P. A., Bernier, J. L., Arenas, M. G., Merelo, J. J., & Garcia-Sanchez, P. (2011). SOAP vs. REST: Comparing a master–slave GA implementation. arXiv Preprint. https://doi.org/10.48550/arXiv.1105.4978
Chand, D., & Ogul, H. (2020). Content-based search in lecture video: A systematic literature review. En Proceedings of the 3rd International Conference on Information and Computer Technologies (ICICT 2020) (pp. 169–176). IEEE. https://doi.org/10.1109/ICICT50521.2020.00034
Chaudhuri, A. (2017). Hierarchical support vector regression for QoS prediction of network traffic data. En Proceedings of the 1st International Conference on Internet of Things and Machine Learning (pp. 1–6). ACM. https://doi.org/10.1145/3109761.3158386
Cheng, B., & Hancke, G. P. (2015). A service-oriented architecture for wireless video sensor networks: Opportunities and challenges. En IECON 2015 – 41st Annual Conference of the IEEE Industrial Electronics Society (pp. 2667–2672). IEEE. https://doi.org/10.1109/IECON.2015.7392504
Cheng, X., Dale, C., & Liu, J. (2007). Understanding the characteristics of Internet short video sharing: YouTube as a case study. arXiv Preprint. http://arxiv.org/abs/0707.3670
Curbera, F., Duftler, M., Khalaf, R., Nagy, W., Mukhi, N., & Weerawarana, S. (2002). Unraveling the Web services web: An introduction to SOAP, WSDL, and UDDI. IEEE Internet Computing, 6(2), 86–93. https://doi.org/10.1109/4236.991449
Dantas, J., Matos, R., Araujo, J., Oliveira, D., Oliveira, A., & Maciel, P. (2016). Hierarchical model and sensitivity analysis for a cloud-based VoD streaming service. En 2016 IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) (pp. 10–16). IEEE. https://doi.org/10.1109/DSN-W.2016.23
de Assunção, M. D., Cardonha, C. H., Netto, M. A. S., & Cunha, R. L. F. (2016). Impact of user patience on auto-scaling resource capacity for cloud services. Future Generation Computer Systems, 55, 41–50. https://doi.org/10.1016/j.future.2015.09.001
De Renzis, A., Garriga, M., Flores, A., Cechich, A., Mateos, C., & Zunino, A. (2017). A domain-independent readability metric for web service descriptions. Computer Standards & Interfaces, 50, 124–141. https://doi.org/10.1016/j.csi.2016.09.005
De Rivera, D. S., Alcarria, R., Martin, D., Sanchez-Picot, A., Bordel, B., & Robles, T. (2016). Distributed query results and IoT data in a publish–subscribe network implementing user notifications. En IEEE 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA 2016) (pp. 778–783). IEEE. https://doi.org/10.1109/WAINA.2016.118
Dilley, J., Maggs, B., Parikh, J., Prokop, H., Sitaraman, R., & Weihl, B. (2002). Globally distributed content delivery. IEEE Internet Computing.
Enríquez, R. A. H., Cáceres, J. R. R., & Robles, T. de J. Á. (2022). Accessible interactive systems for deaf users in museums: Systematic mapping review. En 2022 International Conference on Inclusive Technologies and Education (CONTIE) (pp. 1–5). IEEE. https://doi.org/10.1109/CONTIE56301.2022.10004432
Fan, H., Hussain, F. K., Younas, M., & Hussain, O. K. (2015). An integrated personalization framework for SaaS-based cloud services. Future Generation Computer Systems, 53, 157–173. https://doi.org/10.1016/j.future.2015.05.011
Faniyi, F., & Bahsoon, R. (2016). A systematic review of service level management in the cloud. ACM Computing Surveys, 48(3), 1–27. https://doi.org/10.1145/2843890
Farhad, S. M., Bappi, M. S. I., & Ghosh, A. (2016). Dynamic resource provisioning for video transcoding in IaaS cloud. En IEEE International Conference on High Performance Computing and Communications (HPCC) (pp. 380–384). IEEE. https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0061
Gao, H., Duan, Y., Shao, L., & Sun, X. (2021). Transformation-based processing of typed resources for multimedia sources in the IoT environment. Wireless Networks, 27(5), 3377–3393. https://doi.org/10.1007/s11276-019-02200-6
Gaur, A. S., Budakoti, J., Lung, C.-H., & Redmond, A. (2017). IoT-equipped UAV communications with seamless vertical handover. En IEEE Conference on Dependable and Secure Computing (pp. 459–465). IEEE. https://doi.org/10.1109/DESEC.2017.8073829
Ge, H., Jin, Y., & Yang, T. (2016). A QoE-based control system for bitrate adaptation of wireless-accessed video streams. En 4th International Conference on Cloud Computing and Intelligence Systems (CCIS) (pp. 125–130). IEEE. https://doi.org/10.1109/CCIS.2016.7790238
Gkamas, V., Koutoumanos, A., Alexandris, K., Megalou, E., Paraskevas, M., & Kaklamanis, C. (2016). Integrating the Kaltura video platform with the Photodentro video repository: A case study. En 19th IEEE International Conference on Computational Science and Engineering (pp. 173–176). IEEE. https://doi.org/10.1109/CSE-EUC-DCABES.2016.180
Grigorik, I. (2013). Making the web faster with HTTP 2.0. Communications of the ACM, 56(12), 42–49. https://doi.org/10.1145/2534706.2534721
Gundu, S. R., Panem, C. A., Thimmapuram, A., & Gad, R. S. (2021). Emerging computational challenges in cloud computing and RTEAH algorithm-based solution. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-021-03380-w
Gutierrez-Garcia, J. O., & Sim, K. M. (2015). Agent-based cloud bag-of-tasks execution. Journal of Systems and Software, 104, 17–31. https://doi.org/10.1016/j.jss.2015.02.039
Halili, F., & Ramadani, E. (2018). Web services: A comparison of SOAP and REST services. Modern Applied Science, 12(3), 175–186. https://doi.org/10.5539/mas.v12n3p175
Hani, A. F. M., Paputungan, I. V., & Hassan, M. F. (2015). Renegotiation in service level agreement management for a cloud-based system. ACM Computing Surveys, 47(3), 1–21. https://doi.org/10.1145/2716319
Heller, M. (1998). Introduction: Downloadable audio and video network update—Internet-delivered audio and video.
Holowczak, J., & Houmansadr, A. (2015). CacheBrowser: Bypassing Chinese censorship without proxies using cached content. En Proceedings of the ACM Conference on Computer and Communications Security (CCS 2015) (pp. 70–83). ACM. https://doi.org/10.1145/2810103.2813696
Hossain, S. M., Hnat, T., Saleheen, N., Nasrin, N. J., Noor, J., Ho, B. J., Condie, T., Srivastava, M., & Kumar, S. (2017). mCerebrum: A mobile sensing software platform for development and validation of digital biomarkers and interventions. En Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems (SenSys 2017). ACM. https://doi.org/10.1145/3131672.3131694
Huang, Y., Huang, J., Wu, B., Yao, T., He, S., & Chen, J. (2016). An ontology-based semantic service markup for content-centric networking. En IEEE International Conference on Services Computing (SCC) (pp. 794–797). IEEE. https://doi.org/10.1109/SCC.2016.109
Huf, A., Salvadori, I., & Siqueira, F. (2016). A service-oriented approach for integrating broadcast facilities. En IEEE International Conference on Services Computing (SCC) (pp. 705–712). IEEE. https://doi.org/10.1109/SCC.2016.97
IBM Corporation. (2018). WS-I attachments profile. http://www.ws-i.org/Profiles/AttachmentsProfile-1.0-2004-08-24.html
Jaiganesh, M., Ramadoss, B., Kumar, A. V. A., & Mercy, S. (2015). Performance evaluation of cloud services with profit optimization. Procedia Computer Science, 54, 24–30. https://doi.org/10.1016/j.procs.2015.06.003
Jyoti, A., Shrimali, M., Tiwari, S., & Singh, H. P. (2020). Cloud computing using load balancing and service broker policy for IT service: A taxonomy and survey. Journal of Ambient Intelligence and Humanized Computing, 11(11), 4785–4814. https://doi.org/10.1007/s12652-020-01747-z
Kamali, M. E., Angelini, L., Caon, M., Carrino, F., Rocke, C., Guye, S., Rizzo, G., Mastropietro, A., Sykora, M., Elayan, S., Kniestedt, I., Ziylan, C., Lettieri, E., Khaled, O. A., & Mugellini, E. (2020). Virtual coaches for older adults’ wellbeing: A systematic review. IEEE Access, 8, 101884–101902.
Karabey Aksakalli, I., Çelik, T., Can, A. B., & Tekinerdogan, B. (2021). Deployment and communication patterns in microservice architectures: A systematic literature review. Journal of Systems and Software, 180, 111014. https://doi.org/10.1016/j.jss.2021.111014
Ketankumar, D. C., Verma, G., & Chandrasekaran, K. (2015). A green mechanism design approach to automate resource procurement in cloud. Procedia Computer Science, 54, 108–117. https://doi.org/10.1016/j.procs.2015.06.013
Khan, S., Hussain, F. K., & Hussain, O. K. (2021). Guaranteeing end-to-end QoS provisioning in SOA-based SDN architecture: A survey and open issues. Future Generation Computer Systems, 119, 176–187. https://doi.org/10.1016/j.future.2021.02.011
Kilanioti, I., & Papadopoulos, G. A. (2017). Content delivery simulations supported by social network-awareness. Simulation Modelling Practice and Theory, 76, 47–66. https://doi.org/10.1016/j.simpat.2017.01.001
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering (EBSE Technical Report, Version 2.3). EBSE.
Kumari, S., & Rath, S. K. (2015). Performance comparison of SOAP and REST based web services for enterprise application integration. En 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1656–1660). IEEE. https://doi.org/10.1109/ICACCI.2015.7275851
Le Duc, T., Leiva, R. G., Casari, P., & Östberg, P. O. (2019). Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey. ACM Computing Surveys, 52(5), Article 94. https://doi.org/10.1145/3341145
Martin, G., Mendelsohn, N., Nottingham, M., & Ruellan, H. (2005). XML-binary optimized packaging (XOP). World Wide Web Consortium (W3C). https://www.w3.org/TR/xop10/
Li, J., Zheng, X., Watanabe, I., & Ochiai, Y. (2024). A systematic review of digital transformation technologies in museum exhibition. Computers in Human Behavior, 161, 108407. https://doi.org/10.1016/j.chb.2024.108407
McCarthy, J., Chaudhry, S. R., Kuppuudaiyar, P., Loomba, R., & Clarke, S. (2021). QoSA-ICN: An information-centric approach to QoS in vehicular environments. Vehicular Communications, 30, 100351. https://doi.org/10.1016/j.vehcom.2021.100351
Montella, R., Di Luccio, D., Marcellino, L., Galletti, A., Kosta, S., Brizius, A., & Foster, I. (2017). Processing of crowd-sourced data from an Internet of Floating Things. En Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science (WORKS 2017) (pp. 1–8). ACM. https://doi.org/10.1145/3150994.3150997
Moon, S., Yoo, J., & Kim, S. (2016). Adaptive interface selection over cloud-based split-layer video streaming via multi-wireless networks. Future Generation Computer Systems, 56, 664–674. https://doi.org/10.1016/j.future.2015.09.022
Morariu, C., Morariu, O., Răileanu, S., & Borangiu, T. (2020). Machine learning for predictive scheduling and resource allocation in large scale manufacturing systems. Computers in Industry, 120, 103244. https://doi.org/10.1016/j.compind.2020.103244
Mustafa, S., Nazir, B., Hayat, A., Khan, A. U. R., & Madani, S. A. (2015). Resource management in cloud computing: Taxonomy, prospects, and challenges. Computers & Electrical Engineering, 47, 186–203. https://doi.org/10.1016/j.compeleceng.2015.07.021
Oh, H., Ahn, S., Choi, J., & Yang, J. (2015). WebRTC-based remote collaborative online learning platform. En Proceedings of the 1st Workshop on All-Web Real-Time Systems (AweS 2015). ACM. https://doi.org/10.1145/2749215.2749222
Palumbo, F., Aceto, G., Botta, A., Ciuonzo, D., Persico, V., & Pescapé, A. (2021). Characterization and analysis of cloud-to-user latency: The case of Azure and AWS. Computer Networks, 184, 107693. https://doi.org/10.1016/j.comnet.2020.107693
Pautasso, C., Zimmermann, O., & Leymann, F. (2008). RESTful web services vs. “big” web services. En Proceedings of the 17th International Conference on World Wide Web (WWW 2008) (pp. 805–814). ACM. https://doi.org/10.1145/1367497.1367606
Quadri, C., Gaito, S., Bruschi, R., Davoli, F., & Rossi, G. P. (2018). A MEC approach to improve QoE of video delivery service in urban spaces. En 2018 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 25–32). IEEE. https://doi.org/10.1109/SMARTCOMP.2018.00095
Ramadan, N., & Mohamed, I. (2016). Impact of implementing HTTP/2 in web services. International Journal of Computer Applications, 147(9), 27–32. https://doi.org/10.5120/ijca2016911182
Rasbi, M. A. A., & Singh, A. V. (2017). Need and scope of private cloud technology for public authority for radio & television in Oman. En 2017 6th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (pp. 523–528). IEEE. https://doi.org/10.1109/ICRITO.2017.8342484
Rizvi, S., Roddy, H., Gualdoni, J., & Myzyri, I. (2017). Three-step approach to QoS maintenance in cloud computing using a third-party auditor. Procedia Computer Science, 114, 83–92. https://doi.org/10.1016/j.procs.2017.09.014
Ruan, Z., & Ye, X. (2019). Cost-optimized video dissemination over heterogeneous cloud with SLAs support. IEEE Access, 7, 42874–42888. https://doi.org/10.1109/ACCESS.2019.2908176
Said, O., Albagory, Y., Nofal, M., & Al Raddady, F. (2017). IoT-RTP and IoT-RTCP: Adaptive protocols for multimedia transmission over Internet of Things environments. IEEE Access, 5, 16757–16773. https://doi.org/10.1109/ACCESS.2017.2726902
Roberts, N. J., Kidd, L., Kirkwood, K., Cross, J., & Partridge, M. R. (2018). A systematic review of the content and delivery of education in pulmonary rehabilitation programmes. Respiratory Medicine, 145, 161–181. https://doi.org/10.1016/j.rmed.2018.11.002
Sakthidasan, K., Gao, X.-Z., Devabalaji, K. R., & Mohana Roopa, Y. (2021). Energy-based random repeat trust computation approach and reliable fuzzy and heuristic ant colony mechanism for improving QoS in WSN. Energy Reports, 7, 7967–7976. https://doi.org/10.1016/j.egyr.2021.08.121
Santos, H., Alencar, D., Meneguette, R., Rosário, D., Nobre, J., Both, C., Cerqueira, E., & Braun, T. (2020). A multi-tier fog content orchestrator mechanism with quality of experience support. Computer Networks, 177, 107288. https://doi.org/10.1016/j.comnet.2020.107288
Sarker, S. A., Rahman, M., Muslim, N., & Islam, S. (2018). Performance analysis of video streaming at the edge and core cloud. En 5th International Conference on Networking, Systems and Security (NSysS 2018) (pp. 1–7). IEEE. https://doi.org/10.1109/NSysS.2018.8631370
Savolainen, S., & Rinne, I. (2015). Visualising spatial web service growth across Europe. En Proceedings of the 19th International Academic Mindtrek Conference (pp. 191–193). ACM. https://doi.org/10.1145/2818187.2818274
Seraoui, Y., Bellafkih, M., & Raouyane, B. (2016). A high-performance and scalable distributed storage and computing system for IMS services. En International Conference on Cloud Computing Technologies and Applications (CloudTech 2016) (pp. 335–342). IEEE. https://doi.org/10.1109/CloudTech.2016.7847718
Sheltami, T. R., Shahra, E. Q., & Shakshuki, E. M. (2018). Fog computing: Data streaming services for mobile end-users. Procedia Computer Science, 134, 289–296. https://doi.org/10.1016/j.procs.2018.07.173
Shen, J., & Li, H. (2021). The “real images” of engineering ethics education: An analysis based on systematic literature review (SLR). En IEEE Global Engineering Education Conference (EDUCON 2021) (pp. 719–725). IEEE. https://doi.org/10.1109/EDUCON46332.2021.9454004
Shi, L., Wang, X., & Ma, R. T. B. (2020). On multi-resource procurement in Internet access markets: Optimal strategies and market equilibrium. Performance Evaluation, 143, 102139. https://doi.org/10.1016/j.peva.2020.102139
Silva, T., Kamienski, C., Fernandes, S., & Sadok, D. (2015). A flexible DHT-based directory service for information management. Peer-to-Peer Networking and Applications, 8(3), 512–531. https://doi.org/10.1007/s12083-014-0277-z
Singh, S., Chana, I., & Buyya, R. (2020). Agri-Info: Cloud-based autonomic system for delivering agriculture as a service. Internet of Things, 9, 100131. https://doi.org/10.1016/j.iot.2019.100131
Stockhammer, T. (2011). Dynamic adaptive streaming over HTTP (DASH): Standards and design principles. En Proceedings of the Second Annual ACM Conference on Multimedia Systems (pp. 133–144). ACM. https://doi.org/10.1145/1943552.1943572
Soltanian, A., Belqasmi, F., Yangui, S., Salahuddin, M. A., Glitho, R., & Elbiaze, H. (2018). A cloud-based architecture for multimedia conferencing service provisioning. IEEE Access, 6, 9792–9806. https://doi.org/10.1109/ACCESS.2018.2794258
Song, Y. (2021). Web service reliability prediction based on machine learning. Computer Standards & Interfaces, 73, 103466. https://doi.org/10.1016/j.csi.2020.103466
Soni, A., & Ranga, V. (2019). API features individualizing of web services: REST and SOAP. International Journal of Innovative Technology and Exploring Engineering, 8(9 Special Issue), 664–671. https://doi.org/10.35940/ijitee.I1107.0789S19
Su, G.-M., Su, X., Bai, Y., Wang, M., Vasilakos, A. V., & Wang, H. (2016). QoE in video streaming over wireless networks: Perspectives and research challenges. Wireless Networks, 22(5), 1571–1593. https://doi.org/10.1007/s11276-015-1028-7
Suri, N., Breedy, M. R., Marcus, K. M., Fronteddu, R., Cramer, E., Morelli, A., Campioni, L., Provosty, M., Enders, C., Tortonesi, M., & Nilsson, J. (2019). Experimental evaluation of group communications protocols for data dissemination at the tactical edge. En 2019 International Conference on Military Communications and Information Systems (ICMCIS) (pp. 1–8). IEEE. https://doi.org/10.1109/ICMCIS.2019.8842801
Tellez, N., Jimeno, M., Salazar, A., & Niño-Ruiz, E. D. (2019). Container-based architecture for optimal face-recognition tasks in edge computing. En Proceedings of the 4th ACM/IEEE Symposium on Edge Computing (pp. 301–303). ACM. https://doi.org/10.1145/3318216.3363323
Tian, C., Wang, Y., Luo, Y., Jiang, H., Liu, W., Wu, J., & Yin, H. (2016). Minimizing content reorganization and tolerating imperfect workload prediction for cloud-based video-on-demand services. IEEE Transactions on Services Computing, 9(6), 926–939. https://doi.org/10.1109/TSC.2015.2416733
Tihomirovs, J., & Grabis, J. (2016). Comparison of SOAP and REST based web services using software evaluation metrics. Information Technology and Management Science, 19(1), 92–97. https://doi.org/10.1515/itms-2016-0017
Tran, H. T. T., Ngoc, N. P., Hossfeld, T., & Thang, T. C. (2018). A cumulative quality model for HTTP adaptive streaming. En 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) (pp. 1–6). IEEE. https://doi.org/10.1109/QoMEX.2018.8463414
Tudoran, R., Costan, A., Nano, O., Santos, I., Soncu, H., & Antoniu, G. (2016). JetStream: Enabling high throughput live event streaming on multi-site clouds. Future Generation Computer Systems, 54, 274–291. https://doi.org/10.1016/j.future.2015.01.016
World Wide Web Consortium (W3C). (2023). WebRTC: Real-time communication in browsers. https://www.w3.org/TR/webrtc/
Wamser, F., Seufert, M., Höfner, S., & Tran-Gia, P. (2016). Concept for client-initiated selection of cloud instances for improving QoE of distributed cloud services. En Proceedings of the 2016 Workshop on QoE-Based Analysis and Management of Data Communication Networks (pp. 49–54). ACM. https://doi.org/10.1145/2940136.2940143
Wang, C., Kim, H., & Morla, R. (2017). QWatch: Detecting and locating QoE anomaly for VoD in the cloud. En IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2016) (pp. 126–133). IEEE. https://doi.org/10.1109/CloudCom.2016.0034
Wen, Y., Hu, H., & Liu, F. (2017). Embracing social big data in wireless system design. Journal of Communications and Information Networks, 2(1), 81–96. https://doi.org/10.1007/s41650-017-0007-9
Wu, Y., Wu, C., Li, B., Zhang, L., Li, Z., & Lau, F. C. M. (2015). Scaling social media applications into geo-distributed clouds. IEEE/ACM Transactions on Networking, 23(3), 689–702. https://doi.org/10.1109/TNET.2014.2308254
Wu, Z., Lu, Z., Hung, P. C. K., Huang, S.-C., Tong, Y., & Wang, Z. (2019). QaMeC: A QoS-driven IoVs application optimizing deployment scheme in multimedia edge clouds. Future Generation Computer Systems, 92, 17–28. https://doi.org/10.1016/j.future.2018.09.032
Xavier, G. P., & Kantarci, B. (2018). A survey on the communication and network enablers for cloud-based services: State of the art, challenges, and opportunities. Annals of Telecommunications, 73(3–4), 169–192. https://doi.org/10.1007/s12243-018-0629-4
Xhagjika, V., Escoda, O. D., Navarro, L., & Vlassov, V. (2017). Load and video performance patterns of a cloud-based WebRTC architecture. En 2017 IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (pp. 739–744). IEEE. https://doi.org/10.1109/CCGRID.2017.118
Xu, Z., Zhang, H., & Huang, H. (2019). A performance-aware selection strategy for cloud-based video services with micro-service architecture. En Proceedings of the ACM Multimedia Asia (pp. 1–6). ACM. https://doi.org/10.1145/3338533.3366609
Yamada, J., Blum, N., Carella, G., Kanamaru, N., Uchida, N., & Magedanz, T. (2015). A platform for converged, feature-based real-time communications. En 2015 18th International Conference on Intelligence in Next Generation Networks (ICIN) (pp. 200–207). IEEE. https://doi.org/10.1109/ICIN.2015.7073832
Yoon, C. (2015). Open IPTV convergence service creation and management using service delivery platform. En 2015 17th International Conference on Advanced Communication Technology (ICACT) (pp. 607–613). IEEE. https://doi.org/10.1109/ICACT.2015.7224930
Zagarese, Q., Canfora, G., Zimeo, E., Alshabani, I., Pellegrino, L., Alshabani, A., & Baude, F. (2015). Improving data-intensive EDA performance with annotation-driven laziness. Science of Computer Programming, 97(Part 2), 266–279. https://doi.org/10.1016/j.scico.2014.03.007
Zaher, M., Alawadi, A. H., & Molnár, S. (2021). Sieve: A flow scheduling framework in SDN-based data center networks. Computer Communications, 171, 99–111. https://doi.org/10.1016/j.comcom.2021.02.013
Zamani, A. R., Balouek-Thomert, D., Villalobos, J. J., Rodero, I., & Parashar, M. (2020). An edge-aware autonomic runtime for data streaming and in-transit processing. Future Generation Computer Systems, 110, 107–118. https://doi.org/10.1016/j.future.2020.03.037
Zhang, H., Ma, H., Fu, G., Yang, X., Jiang, Z., & Gao, Y. (2016). Container-based video surveillance cloud service with fine-grained resource provisioning. En 2016 IEEE 9th International Conference on Cloud Computing (CLOUD) (pp. 758–765). IEEE. https://doi.org/10.1109/CLOUD.2016.0105
Zhang, Z., Jiang, X., & Xi, H. (2016). Joint resource allocation and traffic management for cloud video distribution over software-defined networks. En 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) (pp. 407–411). IEEE. https://doi.org/10.1109/ICCSN.2016.7586692
Zhao, S., & Medhi, D. (2017). SDN-assisted adaptive streaming framework for tile-based immersive content using MPEG-DASH. En 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (pp. 1–6). IEEE. https://doi.org/10.1109/NFV-SDN.2017.8169831
Zou, L., Trestian, R., & Muntean, G. M. (2015). E2DOAS: User experience meets energy saving for multi-device adaptive video delivery. En IEEE INFOCOM Workshops 2015 (pp. 444–449). IEEE. https://doi.org/10.1109/INFCOMW.2015.7179425
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