Abstract
In the domain of information technology, new paradigms, technologies, development approaches, and application scenarios continue to emerge rapidly presenting new opportunities for researchers to pursue. Emerging paradigms are often considered to be high risk for academic research due to the immaturity of research foundation and ambiguity in fundamentals supporting the paradigm. A pragmatic and holistic strategy would be needed to systematically steer continuous development and evaluation of research in the area and to accelerate impact and adoption. Drawing on our own a decade-long experience in establishing strong and impactful research in cloud computing, we document and reflect on our strategy for advancing research and building a strong community in what was believed to be a high risk emerging/new computing research area for researchers to embark on. The strategy consists of nine key elements which include creation of a roadmap, development of simulators and supporting tools, and creation of application demonstrators that confirm feasibility and effectiveness of applications of the new research findings. We discuss how development of simulators can be cost-effective in accelerating design of real systems and outline strategic role played by different types of publications or conference organization, and development and delivery of educational programs that form part of the research strategy. We illustrate effectiveness of the recommended strategy with our cloud computing research work, which is globally recognized for its impact.
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References
Emma, T., Smallman, M., Lock, S., Johnson, C., Austwick, M.: Beyond academia–interrogating research impact in the research excellence framework. PLoS One. 11(12) (2016)
Penfield, T., Baker, M., Scoble, R., Wykes, M.: Assessment, evaluations, and definitions of research impact: a review. Res. Evaluat. 23(1), 21–32 (2014)
Cargill, M., O’Connor, P.: Writing Scientific Research Articles: Strategy and Steps. Wiley (2021)
Nayak, M., Narayan, K.: Strengths and weaknesses of online surveys. IOSR J. Human Soc. Sci. 24(5), 31–38 (2019)
Jiao, F., Fang, J., Ci, Y., Tu, W.: Bibliometric analysis based on highly cited papers in computer science. J. Phys. Conf. Ser. 1883(1), 012053 (2021) IOP Publishing
Parker, M., Kingori, P.: Good and bad research collaborations: researchers’ views on science and ethics in global health research. PLoS One. 11(10), e0163579 (2016)
Mefteh, W.: Simulation-based design: overview about related works. Math. Comput. Simul. 152, 81–97 (2018)
Torraco, R.J.: Writing integrative reviews of the literature: methods and purposes. Int. J. Adult Vocat. Educ. Technol. (IJAVET). 7(3), 62–70 (2016)
European Commission. EU-funded projects on Software and Cloud Computing. https://ec.europa.eu/digital-single-market/en/programme-and-projects/eu-funded-projects-software-services-cloud-computing
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M.: A view of cloud computing. Commun. ACM. 53(4), 50–58 (2010)
Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Futur. Gener. Comput. Syst. 25(6), 599–616 (2009)
Buyya, R., Srirama, S., et al.: A manifesto for future generation cloud computing: research directions for the next decade. ACM Comput. Surv. 51(5), 1–38 (2018)
Buyya, R.:. Seven tips for enhancing your research visibility and impact, technical report, GRIDS-TR-2007-3, CLOUDS Laboratory. The University of Melbourne, Australia, Feb. 8, 2007
Brady, C., Orton, K., Weintrop, D., Anton, G., Rodriguez, S., Wilensky, U.: All roads lead to computing: making, participatory simulations, and social computing as pathways to computer science. IEEE Trans. Educ. 60(1), 59–66 (2016)
Murugesan, S., Bojanova, I. (eds.): Encyclopedia of Cloud Computing. Wiley, Hoboken (2016)
Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw Pract Exper. 41(1), 23–50 (2011)
Sohn, E.: The future of the scientific conference. Nature. 64, S80–S82 (2018)
Beloglazov, A., Buyya, R., Lee, Y., Zomaya, Y.: A taxonomy and survey of energy-efficient data centers and cloud computing systems. Adv. Comput. 82, 47–111 (2011)
Beloglazov, A., Buyya, R.: Managing overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints. IEEE Trans. Parallel Distr. Syst. (TPDS). 24(7), 1366–1379 (2013)
Beloglazov, A., Buyya, R.: OpenStack neat: a framework for dynamic and energy-efficient consolidation of virtual machines in OpenStack clouds. Concurrency Comput. Pract. Exper. 27(5), 1310–1333 (2015)
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Buyya, R., Gill, S.S., Srirama, S.N., Bahsoon, R., Murugesan, S. (2022). A Strategy for Advancing Research and Impact in New Computing Paradigms. In: De, D., Mukherjee, A., Buyya, R. (eds) Green Mobile Cloud Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-08038-8_15
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