Auflistung nach Autor:in "Luthra, Manisha"
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- ZeitschriftenartikelTransitions for Increased Flexibility in Fog Computing: A Case Study on Complex Event Processing(Informatik Spektrum: Vol. 42, No. 4, 2019) Luthra, Manisha; Koldehofe, Boris; Steinmetz, RalfFog computing is envisioned to enable profound applications in the Internet of Things (IoT). A key characteristic of such applications is the need to exchange vital information between distinct IoT devices in the form of event notifications, e. g., traffic conditions when performing traffic monitoring. Complex event processing (CEP) is a powerful paradigm to overcome the information gap from observing primary sensor data by IoT devices to delivering event notifications to the IoT application users. However, to perform CEP in a highly dynamic IoT environment, e. g., involving mobile and heterogeneous devices, require an extremely flexible design of a CEP system to adaptively meet the changing requirements and conditions in which the CEP system is executed.
- KonferenzbeitragA Tutorial Workshop on ML for Systems and Systems for ML(BTW 2023, 2023) Luthra, Manisha; Kipf, Andreas; Böhm, MatthiasThis is a proposal for the Learned Systems workshop planned for March 7th, 2023 inconjunction with the BTW2023 conference in Dresden. This tutorial-like workshop will bring togetherrenowned researchers and practitioners at the intersection of machine learning and (database) systems.There will be invited/nominated talks on two topics of concern: (1) how machine learning can improve(database) systems and (2) how scalable and efficient system design can improve machine learningpipelines. A strategic goal of this workshop is to encourage discussion between all the participants—speakers of original authors of the already peer-reviewed work and BTW participants—and thus,foster collaborations among the participants. We aim to give priority to early career researchers inour selection process to boost their work and gain visibility in the most important database systemsconference in Germany.