Matti J. Kortelainen

dblp:183/0120 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 81% High-performance computing · 19%
Network and information security
1 paper
Network security · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › cloud deployment
hybrid cloud
0.312018
Secure Cloud Connectivity for Scientific Applications · IEEE Trans. Serv. Comput. 2018
Cloud and datacenter computing
autoscaling
0.112018
Secure Cloud Connectivity for Scientific Applications · IEEE Trans. Serv. Comput. 2018
High-performance computing › scientific computing systems
scientific computing infrastructure
0.112018
Secure Cloud Connectivity for Scientific Applications · IEEE Trans. Serv. Comput. 2018

Methods — techniques the papers use, named apart from their topics

host identity protocol · 0.7
YearPublicationVenuePosition
2018 Secure Cloud Connectivity for Scientific Applications
abstract
Cloud computing improves utilization and flexibility in allocating computing resources while reducing the infrastructural costs. However, in many cases cloud technology is still proprietary and tainted by security issues rooted in the multi-user and hybrid cloud environment. A lack of secure connectivity in a hybrid cloud environment hinders the adaptation of clouds by scientific communities that require scaling-out of the local infrastructure using publicly available resources for large-scale experiments. In this article, we present a case study of the DII-HEP secure cloud infrastructure and propose an approach to securely scale-out a private cloud deployment to public clouds in order to support hybrid cloud scenarios. A challenge in such scenarios is that cloud vendors may offer varying and possibly incompatible ways to isolate and interconnect virtual machines located in different cloud networks. Our approach is tenant driven in the sense that the tenant provides its connectivity mechanism. We provide a qualitative and quantitative analysis of a number of alternatives to solve this problem. We have chosen one of the standardized alternatives, Host Identity Protocol, for further experimentation in a production system because it supports legacy applications in a topologically-independent and secure way.
Lirim Osmani, Salman Zubair Toor, Miika Komu, Matti J. Kortelainen, Tomas Lindén, Rasib Hassan Khan, Paula Eerola, Sasu Tarkoma
IEEE Trans. Serv. Comput.4