{"id":379,"date":"2023-11-14T08:01:18","date_gmt":"2023-11-14T13:01:18","guid":{"rendered":"https:\/\/carleton.ca\/rads\/?page_id=379"},"modified":"2026-03-16T14:10:52","modified_gmt":"2026-03-16T18:10:52","slug":"publications-2022-2023","status":"publish","type":"page","link":"https:\/\/carleton.ca\/rads\/publications-2022-2023\/","title":{"rendered":"Publications 2022-2023"},"content":{"rendered":"\n
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\n Publications 2022-2023\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n\n\n\n

2022-2023<\/h2>\n\n\n\n

Journal Publications<\/h2>\n\n\n\n
    \n
  1. B. Singh, R. Kaur, C.M. Woodside, J.W. Chinneck (2023), \u201cLow\u2010Power Multi\u2010Cloud Deployment of Large Distributed Service Applications with Response\u2010time Constraints\u201d, Journal of Cloud Computing, vol. 12, no. 1, pp. 1\u201017. https:\/\/doi.org\/10.1186\/s13677\u2010022\u201000363\u2010w<\/li>\n\n\n\n
  2. J\u2010D. Medjo Me Biomo, T. Kunz, T., M. St\u2010Hilaire, \u201cA Novel Routing Protocol for Reducing Packet Delay with Multi\u2010Beam Antennas\u201d, Computer Networks (Elsevier), vol., 220, no.109479, pp. 1\u201014, January 2023.<\/li>\n\n\n\n
  3. D. Zhang, W. Shi, M. St\u2010Hilaire, and R. Yang, \u201cMulti\u2010Access Edge Integrated Networking for Internet of Vehicles: A Blockchain\u2010Based Deep Compressed Cooperative Learning Approach\u201d, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 21593\u201021607, November 2022.<\/li>\n\n\n\n
  4. A. Abada, M. St\u2010Hilaire, and W. Shi, \u201cRebate Auction Mechanisms for Bidirectional Grid Balancing Using Cloud Workload Migrations\u201d, IEEE Access, vol. 10, pp. 78910\u201078927, July 2022.<\/li>\n\n\n\n
  5. M. Abuibaid, A. Ghorab, M. St\u2010Hilaire, B.A. Varga, J. Farkas, I. Moldovan, and M. Mate, \u201cCloudification of Time\u2010Sensitive Networking Reliability Functions: Challenges and Potential Solution Directions\u201d, IEEE Communications Standards Magazine, vol. 6, no. 4, pp. 30\u201037, 2022.<\/li>\n\n\n\n
  6. M. Abuibaid, A. Ghorab, A. Seguin-McPeake, O. Yuen, T. Yungblut and M. St\u2010Hilaire, \u201cEdge Workloads Monitoring and Failover: A StarlingX\u2010based Testbed Implementation and Measurement Study\u201d, IEEE Access, vol. 10, pp. 97101\u201097116, September 2022.<\/li>\n\n\n\n
  7. A. Le Clair, J. Jaskolka, W. MacCaull, and R. Khedri. \u201cArchitecture for ontology\u2010 supported multi\u2010context reasoning systems\u201d Data & Knowledge Engineering, 140:102044, July 2022.<\/li>\n\n\n\n
  8. J. Jaskolka, B. Hamid, and S. Kokaly, \u201cSoftware design trends supporting multi\u2010concern assurance\u201d, IEEE Software, 39(4):22\u201326, July\/August 2022.<\/li>\n\n\n\n
  9. Z. Zhang, C-H. Lung, X. Wei, M. Chen, S. Chatterjee, and Z. Zhang, \u201cIn\u2010network Caching for ICN\u2010based IoT (ICN\u2010IoT): A Comprehensive Survey\u201d, accepted to IEEE Internet of Things Journal, May 2023.<\/li>\n\n\n\n
  10. Z. Zhang, X. Wei, C\u2010H. Lung, Y. Zhao, \u201ciCache: An Intelligent Caching Scheme for Dynamic Network Environments in ICN\u2010based IoT Networks\u201d, IEEE Internet of Things Journal, vol. 10, no. 2, Jan 2023.<\/li>\n\n\n\n
  11. Y. Azimi, S. Yousefi, H. Kalbkhani, and T. Kunz, \u201cApplications of Machine Learning in Resource Management for RAN\u2010Slicing in 5G and Beyond Networks: A Survey\u201d IEEE Access, Vol. 10, pages, 106581\u2010106612, October 2022.<\/li>\n\n\n\n
  12. F. Islam, D.C. Petriu, M. Woodside, \u201cFocused Layered Performance Modelling by Aggregation\u201d, published in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Vol 7, Issue 2\u20104, Article No: 7, pp 1\u201023, November 2022,.<\/li>\n\n\n\n
  13. S. Bernardi, J. Merseguer, D.C. Petriu, \u201cDependability Modeling of Software Systems with UML and DAM: A Guide for Real\u2010Time Practitioners\u201d. Software 2022, 1, 1\u201318.<\/li>\n\n\n\n
  14. Conference Publications<\/li>\n\n\n\n
  15. B. Wubete, T. Triplet, D. Cote, B. Esfandiari, T. Kunz, \u201cImportance of Optical Metrics for IGP Configuration Change Prediction\u201d, to appear in Proceedings of IEEE International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023), June 19\u201022, 2023, Valencia, Spain.<\/li>\n\n\n\n
  16. M. Vezina, B. Esfandiari, F. Schwarzentruber and S. Morley, \u201cQualitative Uncertainty Reasoning in AgentSpeak\u201d, to appear in Proceedings of 20th European Conference on Multi\u2010Agent Systems (EUMAS 2023), September 14\u201015, 2023, Naples, Italy.<\/li>\n\n\n\n
  17. M. Vezina, B. Esfandiari, F. Schwarzentruber and S. Morley, \u201cReasoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic\u201d, extended abstract, to appear in Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS\u201923)<\/li>\n\n\n\n
  18. P. Gavigan, B. Esfandiari, \u201cQuantifying the Relationship Between Software Design Principles and Performance in Jason: a Case Study with Simulated Mobile Robots\u201d, to appear in Annals of Mathematics and Artificial Intelligence, Springer, 2023.<\/li>\n\n\n\n
  19. R. Mohamed, I. Lambadaris, A. Leivadeas, J.W. Chinneck, T. Morris, and P. Djukic (2023), \u201cAutomatic Feasibility Restoration for 5G Cloud Gaming\u201d, IEEE International Conference on Communications (ICC): Communication Software and Multimedia Symposium, 28 May ??? 01 June, Rome, Italy.<\/li>\n\n\n\n
  20. G. Yee. Improving the Derivation of Sound Security Metrics. In 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pages 1804\u20101809, 2022.<\/li>\n\n\n\n
  21. G. Yee. A Design Approach for Minimizing Data Theft. In 2022 International Conference on Computational Science and Computational Intelligence (CSCI), pages 984\u2013990, 2022<\/li>\n\n\n\n
  22. Q. Rouland, B. Hamid, J-P. Bodeveix, and J. Jaskolka, \u201cFormalizing the relationship between security policies and objectives in software architectures\u201d In Proceedings of the 2023 IEEE 20th International Conference on Software Architecture Companion, ICSA\u2010C 2023, pages 151\u2013158, L\u2019Aquila, Italy, 2023.<\/li>\n\n\n\n
  23. S. Alwidian and J. Jaskolka \u201cUnderstanding the role of human\u2010related factors in security requirements elicitation\u201d, In Alessio Ferrari and Birgit Penzenstadler, editors, Proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, volume 13975 of Lecture Notes in Computer Science, pages 65\u201074, Barcelona, Spain, 2023.<\/li>\n\n\n\n
  24. A. Jawad and J. Jaskolka \u201cDefense models for data recovery in industrial control systems\u201d, In Guy\u2010Vincent Jourdan, Laurent Mounier, Carlisle Adams, Florence S\u00e8des, and Joaquin Garcia\u2010Alfaro, editors, Proceedings of the 15th International Symposium on Foundations & Practice of Security, FPS 2022, volume 13877 of Lecture Notes in Computer Science, pages 198\u2010216, Ottawa, ON, Canada, 2023.<\/li>\n\n\n\n
  25. X. Zhang and J. Jaskolka. \u201cConceptualizing the secure machine learning operations (SecMLOps) paradigm\u201d, In Proceedings of the 22nd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2022, pages 127\u2010138, 2022.<\/li>\n\n\n\n
  26. M. Zeroual, B. Hamid, M. Adedjouma, and J. Jaskolka, \u201cTowards logical specification of adversarial examples in machine learning\u201d, In Proceedings of the 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2022, pages 1575\u20101580, 2022.<\/li>\n\n\n\n
  27. J. Jaskolka and B. Hamid, \u201cTowards the integration of human factors in collaborative decision making for secure architecture design\u201d , In Proceedings of the 37th IEEE\/ACM International Conference on Automated Software Engineering, ASE 2022, pages 1\u20108, Rochester, MI, USA, 2022.<\/li>\n\n\n\n
  28. J. Mendoza, J. Mycroft, L. Milbury, N. Kahani, and J. Jaskolka, \u201cOn the effectiveness of data balancing techniques in the context of ML\u2010based test case prioritization\u201d. In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2022, pages 72\u201081, Singapore, 2022.<\/li>\n\n\n\n
  29. X. Zhang and J. Jaskolka, \u201cSecurity patterns for machine learning: The data\u2010oriented stages\u201d, In Proceedings of the 27th European Conference on Pattern Languages of Programs, EuroPLoP 2022, pages 1\u201012, 2022.<\/li>\n\n\n\n
  30. S. Kuri, T. Islam, J. Jaskolka, and M. Ibnkahla, \u201cA threat model and security recommendations for IoT sensors in connected vehicle networks\u201d, In Proceedings of the 2022 IEEE 95th Vehicular Technology Conference, VTC\u2010Spring 2022, pages 1\u20105, Helsinki, Finland, 2022.<\/li>\n\n\n\n
  31. A. Jawad, L. Newton, A. Matrawy, and J. Jaskolka, \u201cA formal analysis of the efficacy of rebooting as a countermeasure against IoT botnets. In Proceedings of the 2022 IEEE International Conference on Communications, IEEE ICC 2022, pages 2206\u20102211, Seoul, South Korea, 2022.<\/li>\n\n\n\n
  32. A. Mutakabbir, C-H. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell and S. Sampalli, \u201cSpatio\u2010Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data\u201d, Proc. of IEEE International Conference on Computers, Software & Applications (COMPSAC), June, 2023.<\/li>\n\n\n\n
  33. Y. Wei, R. Paredes Cabrera, C-H. Lung, and S. Ajila, \u201cPre\u2010connect Handover Management for 5G Networks\u201d, Proc. of IEEE Future Networks World Forum (FNWF), Oct. 2022.<\/li>\n\n\n\n
  34. C. Sai Chebrolu, C-H. Lung, and S. Ajila, \u201cDynamic Packet Filtering Using Machine Learning\u201d, Proc. of IEEE 23rd International Conference on Information Reuse and Integration for Data Science, Aug 2022.<\/li>\n\n\n\n
  35. A. Mutakabbir, C-H. Lung, and A. Ajila, \u201cAnalysis of Airfare during Pandemic: A Multi\u2010Agent Based Modeling Approach\u201d, Proc. of IEEE Workshop on Big Data Workshop Applications of Big Data Technology in the Transport Industry, in cooperation with IEEE International Conference on Big Data (IEEE BigData), pp. 3821\u20133830, Dec. 2022.<\/li>\n\n\n\n
  36. S.T. Sukumar, C-H. Lung, and M. Zaman, \u201cKnowledge Graph Generation for Unstructured Data Using Data Processing Pipeline\u201d, Proc. of IEEE Annual Computer Software and Applications (COMPSAC), June 2023.<\/li>\n\n\n\n
  37. R. Narendra Babu, C-H. Lung, and M. Zaman, \u201cPerformance Evaluation of Transformer\u2010 based NLP Models on Fake News Detection Datasets\u201d, Proc. of IEEE Annual Computer Software and Applications (COMPSAC), June 2023.<\/li>\n\n\n\n
  38. S. Pham, K. Oliveira, C-H. Lung, \u201cWebAssembly Modules as an Alternative to Docker Containers in IoT Application Development\u201d, Proc. of the 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), April 2023. Accepted one of the Best Paper Awards.<\/li>\n\n\n\n
  39. C. Figueroa, T. Knowles, V. Kukreja, and C-H. Lung, \u201cIoT Management with Container Orchestration\u201d, Proc. of the 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), April 2023.<\/li>\n\n\n\n
  40. Z. Wang, A. Bittar, C. Huang, C-H. Lung, and G. Shami, \u201cA Web\u2010based Orchestrator for Dynamic Service Function Chaining Development with Kubernetes\u201d, Proc. of the 8th IEEE International Conference on Network Softwarization (NetSoft 2022), July 2022.<\/li>\n\n\n\n
  41. Chung\u2010Horng Lung and Hesham Elbakoury, \u201cExploiting Segment Routing and SDN Features for Green Traffic Engineering\u201d, Proc. of the 1st International Workshop on Network Energy Efficiency in the Softwarization Era, in collaboration with the 8th IEEE International Conference on Network Softwarization (NetSoft 2022), July 2022.<\/li>\n\n\n\n
  42. A. Mutakabbir, C-H. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell, S. Sampalli, \u201cForest Fire Prediction using Multi\u2010Source Deep Learning\u201d, EAI BDTA 2023 \u2010 13th EAI International Conference on Big Data Technologies and Applications, August 23\u201024, 2023, Edinburgh, Great Britain.<\/li>\n\n\n\n
  43. S. Ajila, \u201cHave the Factors Affecting Software New Product Development (S\u2010NPD) Changed in the Age of Mobile Apps and Agile Methods?\u201d, In PICMET \u201923 \u2010 Managing Technology, Engineering and Manufacturing for a Sustainable World, Monterrey Mexico, July 23 \u2013 27, 2023.<\/li>\n\n\n\n
  44. Y. Wei, C-H. Lung, S. Ajila, and R. Paredes Cabrera, \u201cDeep Q\u2010Networks Assisted Pre\u2010connect Handover Management for 5G Networks\u201d, IEEE Vehicular Technology Conference (VTC2023\u2010Spring), Florence, Italy June 20 \u2010 23, 2023<\/li>\n\n\n\n
  45. M. Fan, O. Imran, A. Singh, and S. Ajila, \u201cUsing CNN\u2010LSTM Model for Weather Forecasting, 2022 IEEE International Conference on Big Data (Big Data), December 17\u201020, 2022, Osaka, Japan, pp 4110 \u2013 4115.<\/li>\n\n\n\n
  46. A. Dybka, D. Kocjan, and S. Ajila, \u201cA Semi supervised Approach to Predicting a Twitch Streamer Growth based on the Game Streamed\u201d, 2022 IEEE International Conference on Big Data (Big Data), December 17\u201020, 2022, Osaka, Japan, pp 4100 \u2013 4109.<\/li>\n\n\n\n
  47. S. Ajila, \u201cMultilayer Meta\u2010Learning Approach to Forecasting Air Pollutants\u201d, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science\u201d, (IEEE\u2010IRI\u201020220, August 9 \u2013 11, 2022, pp 69 \u2013 74.<\/li>\n\n\n\n
  48. F. Blanc, A. Syed, A. Mohammadi Esfahani, S. Reddy Venna, and S. Ajila, \u201cA Deep Learning Sequential\u2010based Model for Predicting Victories in Video Games\u201d, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science, (IEEE\u2010IRI\u20102022), August 9 \u2013 11, 2022, pp 212 \u2013 213.<\/li>\n\n\n\n
  49. L. Li, J\u2010P. El Rami, A. Taylor, J. Hailing Rao, and T. Kunz, \u201cEnabling a Network AI Gym for Autonomous Cyber Agents\u201d, Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA, December 2022.<\/li>\n\n\n\n
  50. T. Kunz, C. Fisher, J. La Novara\u2010Gsell, C. Nguyen, and L. Li, \u201cA Multiagent CyberBattleSim for RL Cyber Operation Agents\u201d, Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA, December 2022.<\/li>\n\n\n\n
  51. L. Li, J\u2010P. El Rami, A. Taylor, J. Hailing Rao, and T. Kunz, \u201cUnified Emulation\u2010Simulation Training Environment for Autonomous Cyber Agents\u201d, Proceedings of the 5th International Conference on Machine Learning for Networking (MLN\u20192022), Paris, France, November 2022.<\/li>\n\n\n\n
  52. K. Nguyen, W. Shi, and M. St\u2010Hilaire, \u201cA Dynamic Vehicle\u2010Ranking Approach for Online Virtual Network Embedding in Internet of Vehicles\u201d, International Telecommunication Networks and Applications Conference (ITNAC 2022), Wellington, New Zealand, Nov 30 \u2010 Dec 2, 2022.<\/li>\n\n\n\n
  53. K. Nguyen, W. Shi, and M. St\u2010Hilaire, \u201cCost\u2010aware Node Ranking Algorithm for Embedding Virtual Networks in Internet of Vehicles\u201d, 4th EAI International Conference on Artificial Intelligence for Communications and Networks (AICON 2022), Hiroshima, Japan, Nov 30 \u2010 Dec 1, 2022.<\/li>\n\n\n\n
  54. B. Fatemipour, W. Shi, and M. St\u2010Hilaire, \u201cA Cost\u2010Effective and Multi\u2010Source\u2010Aware Replica Migration Approach for Geo\u2010Distributed Data Centers\u201d, IEEE Cloud Summit, Fairfax, Virginia, USA, October 2022.<\/li>\n\n\n\n
  55. S. Al Shamaa, N. Harrabida, W. Shi, and M. St\u2010Hilaire, \u201cEnergy\u2010Efficient Massive MIMO Design: Optimal Number of Antennas Ensuring Guaranteed Bit Rate\u201d, IEEE Cloud Summit, Fairfax, Virginia, USA, October 2022.<\/li>\n\n\n\n
  56. D. Zhang, W. Shi, and M. St\u2010Hilaire, and R. Yang,\u201dA Blockchain\u2010Based Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles\u201d, International Wireless Communications and Mobile Computing Conference (IWCMC 2022), Dubrovnik, Croatia, May\u2010June 2022.<\/li>\n\n\n\n
  57. J. Contreras, S. Majumdar, \u201cEnhancing the Performance of Inter\u2010Cloud Data Transfers\u201d, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Marrakech, Morocco, August 2023.<\/li>\n\n\n\n
  58. A. Syed, S. Majumdar, \u201cTechniques for Moment Retrievals and Filtering from Large Volumes of Multimodal Data\u201d, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Marrakech, Morocco, August 2023.<\/li>\n\n\n\n
  59. A, Syed, S. Majumdar, \u201cTechniques for Achieving High Performance in Deep Learning Based Systems for Selective Filtering of Live Video Streams\u201d, Proc. The 28th Int\u2019l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA), Las Vegas, USA, August 2023.<\/li>\n\n\n\n
  60. A. Syed, S. Majumdar, \u201cParallel Processing Techniques for Analyzing Large Video Files: a Deep Learning Based Approach\u201d, Proc. IEEE 12th International Conference on Big Data and Cloud Computing (BDCloud), Melbourne, Australia, December 2022.<\/li>\n\n\n\n
  61. M. Vrbaski, M. Bolic, S. Majumdar,\u201cMulti\u2010objective Optimization for Cloud Provisioning: a Case Study in Large\u2010 scale Microservice Notification Applications\u201d, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022.<\/li>\n\n\n\n
  62. M. Vrbaski, M. Bolic, S. Majumdar, \u201cSCN\u2010DRL: Scheduler for Large\u2010scale Critical Notification Applications based on Deep Reinforcement Learning\u201d, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022.<\/li>\n\n\n\n
  63. J. Contreras, S. Majumdar, \u201cMethods for Transferring Data from a Compute to a Storage Cloud\u201d, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022.<\/li>\n\n\n\n
  64. G. Davidson, S. Majumdar, \u201cSelective Filtering of Large PDF Document Sets: a Performance Oriented Approach\u201d, Proc. The 28th International Conference on Parallel & Distributed Processing Techniques & Applications (PDPTA), Las Vegas, USA, July 2022.<\/li>\n\n\n\n
  65. G. Davidson, S. Majumdar, \u201cBoolean Logical Operator Driven Selective Data Filtering for Large Datasets\u201d, Proc. Annual Modeling and Simulation Conference (ANNSIM 2022), San Diego, USA, July 2022.<\/li>\n<\/ol>\n\n\n\n

    Patents<\/h2>\n\n\n\n
      \n
    1. Y. Wei, R. Paredes Cabrera, and C\u2010H. Lung, \u201cDRL\u2010based 5G Mobility Optimization\u201d.<\/li>\n\n\n\n
    2. B. Wubete, T. Triplet, B. Esfandiari, T. Kunz, D.Cote, \u201cIGP Change Identification Using Gradient Boosted Methods And Importance of Optical Metrics\u201d, United States. Patent Status: Pending, submitted October 2022.<\/li>\n\n\n\n
    3. B. Wubete, C. Barber, B. Esfandiari, T. Kunz, \u201cLeveraging temporal\u2010based datapoints for predicting network events\u201d, filed in 2023.<\/li>\n\n\n\n
    4. B. Wubete, T. Triplet, B. Esfandiari, T. Kunz, D. Cote, \u201cPredicting impending change to Interior Gateway Protocol (IGP) metrics\u201d, filed in 2022, application no. 17\/992,297.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      2022-2023 Journal Publications Patents<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_cu_dining_location_slug":"","footnotes":"","_links_to":"","_links_to_target":""},"cu_page_type":[28],"class_list":["post-379","page","type-page","status-publish","hentry","cu_page_type-publications"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/pages\/379","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/comments?post=379"}],"version-history":[{"count":2,"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/pages\/379\/revisions"}],"predecessor-version":[{"id":404,"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/pages\/379\/revisions\/404"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/media?parent=379"}],"wp:term":[{"taxonomy":"cu_page_type","embeddable":true,"href":"https:\/\/carleton.ca\/rads\/wp-json\/wp\/v2\/cu_page_type?post=379"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}