TY  - JOUR
A1  - Dressler, Falko
A1  - Chiasserini, Carla Fabiana
A1  - Fitzek, Frank H. P.
A1  - Karl, Holger
A1  - Cigno, Renato Lo
A1  - Capone, Antonio
A1  - Casetti, Claudio
A1  - Malandrino, Francesco
A1  - Mancuso, Vincenzo
A1  - Klingler, Florian
A1  - Rizzo, Gianluca
T1  - V-Edge
BT  - virtual edge computing as an enabler for novel microservices and cooperative computing
JF  - IEEE network
N2  - As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: Instead of sending all data and tasks from an end user's device to the cloud, possibly covering thousands of kilometers and introducing delays lower-bounded by propagation speed, edge servers deployed in close proximity to the user (e.g., at some base station) serve as proxy for the cloud. This is particularly interesting for upcoming machine-learning-based intelligent services, which require substantial computational and networking performance for continuous model training. However, this promising idea is hampered by the limited number of such edge servers. In this article, we discuss a way forward, namely the V-Edge concept. V-Edge helps bridge the gap between cloud, edge, and fog by virtualizing all available resources including the end users' devices and making these resources widely available. Thus, V-Edge acts as an enabler for novel microservices as well as cooperative computing solutions in next-generation networks. We introduce the general V-Edge architecture, and we characterize some of the key research challenges to overcome in order to enable wide-spread and intelligent edge services.
KW  - Training
KW  - Performance evaluation
KW  - Cloud computing
KW  - Microservice
KW  - architectures
KW  - Computer architecture
KW  - Delays
KW  - Servers
Y1  - 2022
U6  - https://doi.org/10.1109/MNET.001.2100491
SN  - 0890-8044
SN  - 1558-156X
VL  - 36
IS  - 3
SP  - 24
EP  - 31
PB  - Inst. of Electr. and Electronics Engineers
CY  - Piscataway
ER  - 
TY  - JOUR
A1  - Ermakova, Tatiana
A1  - Fabian, Benjamin
A1  - Zarnekow, Ruediger
T1  - Improving Individual Acceptance of Health Clouds through Confidentiality Assurance
JF  - Applied clinical informatics
N2  - Background: Cloud computing promises to essentially improve healthcare delivery performance. However, shifting sensitive medical records to third-party cloud providers could create an adoption hurdle because of security and privacy concerns. Methods: We empirically investigate our research question by a survey with over 260 full responses. For the setting with a high confidentiality assurance, we base on a recent multi-cloud architecture which provides very high confidentiality assurance through a secret-sharing mechanism: Health information is cryptographically encoded and distributed in a way that no single and no small group of cloud providers is able to decode it.
KW  - Cloud computing
KW  - cloud service
KW  - cloud storage
KW  - data security
KW  - privacy
KW  - confidentiality
KW  - acceptance process
Y1  - 2016
U6  - https://doi.org/10.4338/ACI-2016-07-RA-0107
SN  - 1869-0327
VL  - 7
SP  - 983
EP  - 993
PB  - Schattauer
CY  - Stuttgart
ER  - 
TY  - JOUR
A1  - Junghanns, Philipp
A1  - Fabian, Benjamin
A1  - Ermakova, Tatiana
T1  - Engineering of secure multi-cloud storage
JF  - Computers in industry : an international, application oriented research journal
N2  - This article addresses security and privacy issues associated with storing data in public cloud services. It presents an architecture based on a novel secure cloud gateway that allows client systems to store sensitive data in a semi-trusted multi-cloud environment while providing confidentiality, integrity, and availability of data. This proxy system implements a space-efficient, computationally-secure threshold secret sharing scheme to store shares of a secret in several distinct cloud datastores. Moreover, the system integrates a comprehensive set of security measures and cryptographic protocols to mitigate threats induced by cloud computing. Performance in practice and code quality of the implementation are analyzed in extensive experiments and measurements. (C) 2016 Elsevier B.V. All rights reserved.
KW  - Cloud computing
KW  - Data exchange
KW  - Security
KW  - Privacy
Y1  - 2016
U6  - https://doi.org/10.1016/j.compind.2016.09.001
SN  - 0166-3615
SN  - 1872-6194
VL  - 83
SP  - 108
EP  - 120
PB  - Elsevier
CY  - Amsterdam
ER  -