Computer Science - Computing Systems (ComputingSystems)

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    Konemiehentie 2, Computer Science building

    Finland

Organization profile

Computing Systems
Department of Computer Science Research area

The study, design and development of modern computing systems.

Internet has catalysed modern computing to evolve towards distributed architectures rapidly, creating novel technology paradigms like cloud computing and IoT. Computing Systems conducts interdisciplinary research into the infrastructure and systems that support such novel technology paradigms. The research ranges from theoretical, such as distributed systems, distributed system architectures and distributed algorithms to applied such as IoT, Web Services, Analytics, Ubiquitous Computing, Systems for Machine Learning and Distributed Multimedia systems. These research areas are intersectional in their design, underlying infrastructure and service delivery constraints. Focus areas include IoT management, networking and applications, vehicular networks, edge computing, web service design and analytics, system analytics, video delivery optimization and low latency distributed multimedia systems including cloud/edge rendered XR. The research uses empirical methodologies to leverage human factors like human visual system and human computer interaction in system design, specifically in cloud rendered XR and ubiquitous computing.

Research area webpage: https://www.aalto.fi/en/department-of-computer-science/computing-systems

Department of Computer Science

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • A Full Lifecycle Authentication Scheme for Large-scale Smart IoT Applications

    Chen, F., Xiao, Z., Xiang, T., Fan, J. & Truong, L., 26 May 2022, (E-pub ahead of print) In: IEEE Transactions on Dependable and Secure Computing.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    37 Downloads (Pure)
  • Bridging Static Site Generation with the Dynamic Web

    Vepsäläinen, J. & Vuorimaa, P., 2022, Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. Di Noia, T., Ko, I-Y., Schedl, M. & Ardito, C. (eds.). p. 437-442 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13362 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    7 Downloads (Pure)
  • Context-driven Policies Enforcement for Edge-based IoT Data Sharing-as-a-Service

    Nguyen, H-H., Phung, P., Nguyen, P. & Truong, L., 24 Aug 2022, Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022. Ardagna, C. A., Bian, H., Chang, C. K., Chang, R. N., Damiani, E., Dustdar, S., Marco, J., Singh, M., Teniente, E., Ward, R., Wang, Z., Xhafa, F. & Zhang, J. (eds.). IEEE, p. 221-230 10 p. (IEEE International Conference on Services Computing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    62 Downloads (Pure)