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Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization.

, , , , и . COINS, стр. 7-12. ACM, (2019)

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Konstantinos Spyridakis

Konstantinos Karatzoglou

Konstantinos Georgaras

Konstantinos Ouzounis

Konstantinos Noussias

 

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Comparing Methods for Twitter Sentiment Analysis, , , и . Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval - KDIR 2014, (2014)Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction., , , , и . CoRR, (2016)Strand: scalable trilateration with Node.js., , и . J. Cloud Comput., (2019)CONSENSUS Project: Identifying Publicly Acceptable Policy Implementations.. EEPM@eGOV, том 1553 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)Dependable Integration Concepts for Human-Centric AI-Based Systems., , , , , , , , , и 14 other автор(ы). SAFECOMP Workshops, том 12853 из Lecture Notes in Computer Science, стр. 11-23. Springer, (2021)Large-scale evaluation framework for local influence theories in Twitter., , , , и . Inf. Process. Manag., 51 (1): 226-252 (2015)Real-time reconfiguration for guaranteeing QoS provisioning levels in Grid environments., , и . Future Gener. Comput. Syst., 25 (7): 779-784 (2009)An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures., , , и . FRAME@HPDC, стр. 19-24. ACM, (2022)AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving., , , , , , , , , и 4 other автор(ы). PerCom Workshops, стр. 91-93. IEEE, (2022)Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization., , , , и . COINS, стр. 7-12. ACM, (2019)