Monitorology – the Art of Observing the World

• Autorzy: Malek Miroslaw

Identyfikatory

DOI

10.34808/tq2021/25.2/a

• Języki publikacji: EN

Abstrakty

EN

We focus on the art of observing the world by electronic devices such as sensors and meters that, in general, we call monitors. We also define main monitoring objectives and pose five challenges for effective and efficient monitoring that still need a lot of research. In the era where compute power like electricity is easily available and easy to use across the globe, and big data is generated in enormous amounts at ever-increasing rates, the question, what to monitor and how, will become ever more relevant to save the world from flood of meaningless, dumb data, leading frequently to false conclusions and wrong decisions whose impact may range from a minor inconvenience to loss of lives and major disasters.

Słowa kluczowe

EN

data acquisition; data analytics; monitoring; big data; Internet of things

PL

pozyskiwanie danych; analiza danych; monitorowanie; big data; Internet rzeczy

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2021
• Tom: Vol. 25, No 2
• Strony: 131--139
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Malek Miroslaw

• Advanced Learning and Research Institute (ALaRI), Faculty of Informatics, Università della Svizzera italiana, via Buffi 13, 6904 Lugano, Switzerland

Bibliografia

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• [3] Liu H and Yu L 2005 Toward Integrating Feature Selection Algorithms for Classification and Clustering, IEEE Transactions on Knowledge and Data Engineering 17 (4) 491 −502
• [4] Hoffmann A G and Malek M 2006 Call Availability Prediction in a Telecommunication System: A Data Driven Empirical Approach, Proc. 25𝑡ℎ Symposium on Reliable Distributed Systems 83 −95
• [5] Hoffmann A G, Trivedi K and Malek M 2007 A Best Practice Guide to Resource Forecasting for Computing Systems, IEEE Transactions on Reliability 56 (4) 615 −628
• [6] Younis M and Akkaya K 2008 Strategies and techniques for node placement in wireless sensor networks: A survey, AdHoc Networks 6 (4) 621 −655
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• [8] Rao R 2009 Signal and Systems, Prentice-Hall of India Pvt. Limited
• [9] Weik H M 1996 Communications Standard Dictionary, Springer
• [10] Salfner F, Tschirpke S and Malek M April 2004 Comprehensive Logfiles for Autonomic Systems, Proceedings of 9th IEEE Workshop on Fault-Tolerant Parallel, Distributed and NetworkCentric Systems, Santa Fe, New Mexico, USA 211 −218
• [11] Abadi D J et al Aurora: a new model and architecture for data stream management, VLDB 12 (2) 120 −139
• [12] Fernando N, Loke W S and Rahayu W 2013, Future Generation Computer Systems 29 84 −106
• [13] Hansen D M 1991 Zero Defect Data, PhD Diss., MIT
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• [15] Laranjeiro N, Soydemir N S and Bernardino J 2015 A Survey on Data Quality: Classifying Poor Data, Proc. 21𝑠𝑡 Pacific Rim International Symposium on Dependable Computing (PRDC 2015) China 179 −188
• [16] Sadiq S, Yeganeh K N and Indulska M January 2011 20 Years of Data Quality Research: Themes, Trends and Synergies, 22nd Australasian Database Conference (ADC 2011) Australia 235 −256

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).