Browse by ORCID

Journal article

KAISER, M.S., MAHMUD, M., NOOR, M.B.T., ZENIA, N.Z., MAMUN, S.A., ABIR MAHMUD, K.M., AZAD, S., MANJUNATH ARADHYA, V.N., PUNITHA, S., STEPHAN, T., KANNAN, R., HANIF, M., SHARMEEN, T., CHEN, T. and HUSSAIN, A., 2021. iWorkSafe: towards healthy workplaces during COVID-19 with an intelligent pHealth app for industrial settings. IEEE Access.

CHEN, T., BAHSOON, R. and YAO, X., 2019. A survey and taxonomy of self-aware and self-adaptive cloud autoscaling systems. ACM Computing Surveys, 51 (3): 61. ISSN 0360-0300

CHEN, T., LI, K., BAHSOON, R. and YAO, X., 2018. FEMOSAA: Feature guided and knEe driven Multi-Objective optimization for Self-Adaptive softwAre. ACM Transactions on Software Engineering and Methodology, 27 (2): 5. ISSN 1049-331X

CHEN, T. and BAHSOON, R., 2017. Self-adaptive trade-off decision making for autoscaling cloud-based services. IEEE Transactions on Services Computing, 10 (4), pp. 618-632. ISSN 1939-1374

CHEN, T. and BAHSOON, R., 2017. Self-adaptive and online QoS modeling for cloud-based software services. IEEE Transactions on Software Engineering, 43 (5), pp. 453-475. ISSN 0098-5589

CHEN, T. and BAHSOON, R., 2015. Toward a smarter cloud: self-aware autoscaling of cloud configurations and resources. Computer, 48 (9), pp. 93-96. ISSN 0018-9162

LEWIS, P.R., CHANDRA, A., FANIYI, F., GLETTE, K., CHEN, T., BAHSOON, R., TORRESEN, J. and YAO, X., 2015. Architectural aspects of self-aware and self-expressive computing systems: from psychology to engineering. Computer, 48 (8), pp. 62-70. ISSN 0018-9162

CHEN, T., BAHSOON, R. and TAWIL, A.-R.H., 2014. Scalable service-oriented replication with flexible consistency guarantee in the cloud. Information Sciences, 264, pp. 349-370. ISSN 0020-0255

CHEN, T., BAHSOON, R. and THEODOROPOULOS, G., 2013. Dynamic QoS optimization architecture for cloud-based DDDAS. Procedia Computer Science, 18, pp. 1881-1890. ISSN 1877-0509

Chapter in book

CHEN, T., LI, M. and YAO, X., 2018. On the effects of seeding strategies: a case for search-based multi-objective service composition. In: Proceedings of GECCO ’18: Genetic and Evolutionary Computation Conference, 15–19 July 2018, Kyoto, Japan. New York: Association for Computing Machinery. ISBN 9781450356183 (Forthcoming)

LI, M., CHEN, T. and YAO, X., 2018. A critical review of "A practical guide to select quality indicators for assessing Pareto-based search algorithms in search-based software engineering": essay on quality indicator selection for SBSE. In: Proceedings of ICSE-NIER’18: 40th International Conference on Software Engineering: New Ideas and Emerging Results Track, 2018, Gothenburg, Sweden, 27 May - 3 June 2018. New York: Association for Computing Machinery (ACM). ISBN 9781450356626

CHEN, T., BAHSOON, R., WANG, S. and YAO, X., 2018. To adapt or not to adapt? Technical debt and learning driven self-adaptation for managing runtime performance. In: Proceedings of ICPE ’18: 9th ACM/SPEC International Conference on Performance Engineering, Berlin, Germany, 9–13 April 2018. New York: Association for Computing Machinery (ACM), pp. 48-55. ISBN 9781450350952

CHEN, T. and BAHSOON, R., 2017. Bridging ecology and cloud: transposing ecological perspective to enable better cloud autoscaling. In: I. MISTRIK, R. BAHSOON, N. ALI, M. HEISE and B. MAXIM, eds., Software architecture for big data and the cloud. Cambridge, MA: Morgan Kaufmann, pp. 91-102. ISBN 9780128054673

CHEN, T. and BAHSOON, R., 2014. Symbiotic and sensitivity-aware architecture for globally-optimal benefit in self-adaptive cloud. In: Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems - SEAMS 2014, Hyderabad, India, 31 May - 7 June 2014. Association for Computing Machinery (ACM): New York NY, pp. 85-94. ISBN 9781450328647

CHEN, T. and BAHSOON, R., 2013. Self-adaptive and sensitivity-aware QoS modeling for the cloud. In: M. LITOIU and J. MYLOPOULOS, eds., Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems - SEAMS 2013, San Francisco, CA, USA, 20-21 May 2013. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 43-52. ISBN 9781479903443

Conference contribution

KUMAR, S., BAHSOON, R., CHEN, T., LI, K. and BUYYA, R., 2018. Multi-tenant cloud service composition using evolutionary optimization. In: IEEE ICPADS 2018: 24th International Conference on Parallel and Distributed Systems, Sentosa, Singapore, 11-13 December 2018.