Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Zoltán Ádám Mann"'
Publikováno v:
Journal of Parallel and Distributed Computing. 175:22-36
In edge computing, application components can be placed over a range of computational devices from cloud data centers to nodes at the network edge. Application placement can have significant impact on important metrics like latency and resource utili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bd9db4c9ceec8b6e0378f89553f7b4d
https://doi.org/10.1016/j.jpdc.2023.01.002
https://doi.org/10.1016/j.jpdc.2023.01.002
Autor:
Shohreh Ahvar, Joaquin Garcia-Alfaro, Ehsan Ahvar, Roch Glitho, Noel Crespi, Zoltán Ádám Mann
Publikováno v:
IEEE Access, Vol 9, Pp 70192-70213 (2021)
IEEE Access
IEEE Access, IEEE, 2021, 9, pp.70192-70213. ⟨10.1109/ACCESS.2021.3075973⟩
IEEE Access
IEEE Access, IEEE, 2021, 9, pp.70192-70213. ⟨10.1109/ACCESS.2021.3075973⟩
As an increasing amount of data processing is done at the network edge, high energy costs and carbon emission of Edge Clouds (ECs) are becoming significant challenges. The placement of application components (e.g., in the form of containerized micros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b046f766006d804eba54ff5dff7979e3
https://ieeexplore.ieee.org/document/9416667/
https://ieeexplore.ieee.org/document/9416667/
Autor:
Zoltán Ádám Mann
Publikováno v:
Computing. 103:51-73
Fog computing is becoming a popular paradigm for bringing the advantages of the cloud nearer to the network edge. This way, computational tasks can be offloaded from end devices to nearby fog nodes, thus benefiting from high computational power and l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c96622c18fe0914fb196570b513b4061
https://doi.org/10.1007/s00607-020-00848-z
https://doi.org/10.1007/s00607-020-00848-z
A self-adaptive system can automatically maintain its quality requirements in the presence of dynamic environment changes. Developing a self-adaptive system may be difficult due to design time uncertainty; e.g., anticipating all potential environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b34c19120e05d33818bab87abad2b71
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85125397590
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85125397590
Autor:
Zoltán Ádám Mann
Publikováno v:
Computer Security. ESORICS 2021 International Workshops ISBN: 9783030954833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b5d4855df5c39e32758c29d1161a6f
https://doi.org/10.1007/978-3-030-95484-0_18
https://doi.org/10.1007/978-3-030-95484-0_18
Publikováno v:
ICDCS Workshops
Edge computing facilitates the deployment of distributed AI applications, capable of processing video data in real time. AI-assisted video analytics can provide valuable information and benefits in various domains. Face recognition, object detection,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0d286ab18cbcd395f2cda4d294d1ef
https://doi.org/10.1109/icdcsw53096.2021.00009
https://doi.org/10.1109/icdcsw53096.2021.00009
Autor:
Zoltán Ádám Mann, Julian Bellendorf
Publikováno v:
Computing
Topology and Orchestration Specification for Cloud Applications (TOSCA) is an OASIS standard for specifying the topology of cloud applications, their deployment on physical or virtual cloud resources, and their orchestration. In recent years, the clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dee172556a21b14af2acb4cde763a0e
https://doi.org/10.1007/s00607-019-00750-3
https://doi.org/10.1007/s00607-019-00750-3
Publikováno v:
Informatik Spektrum
Fog-Computing erlaubt, Software-Code oder Daten dynamisch von ressourcenschwachen Endgeraten an leistungsstarkere Gerate am Rande des Netzwerks und in der Cloud auszulagern. Eine solche dynamische Auslagerung ermoglicht eine performante Ausfuhrung re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6f05e7a186023d9fe3ff9fa05021e9
https://doi.org/10.1007/s00287-019-01190-1
https://doi.org/10.1007/s00287-019-01190-1
Autor:
Zoltán Ádám Mann, Tjerk Timan
Publikováno v:
The Elements of Big Data Value ISBN: 9783030681753
This chapter addresses privacy challenges that stem particularly from working with big data. Several classification schemes of such challenges are discussed. The chapter continues by classifying the technological solutions as proposed by current stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5c002e3be448246c5d75c8bfe442d47
https://doi.org/10.1007/978-3-030-68176-0_7
https://doi.org/10.1007/978-3-030-68176-0_7