Paper Info
Title
Abstract model of k-cloud computing
Abstract
This article deals with effective running applications in clouds. In the paper we present some bioinfromatics problems. We introduce the following problems: genome assembly, sequence alignment and genome annotation, especially identification of gene variants. This problem is our motivation for research in k-cloud computing. Unfortunately, all problems are NP-hard. This is why a better architecture is needed. We call our new architecture k-cloud computing. In this article, we present abstraction of k-cloud computing. The main advantage of k-cloud computing is that it does not waste resources. The architecture rearrangement applications that run between clouds on one cloud platforms and try to save the resources, which can be used in a more reasonable way.
Year
DOI
Venue
2014
10.1109/FSKD.2014.6980922
Fuzzy Systems and Knowledge Discovery
Keywords
Field
DocType
bioinformatics,cloud computing,computational complexity,genomics,NP-hard problems,abstract model,architecture rearrangement applications,bioinfromatics problems,gene variant identification,genome annotation,genome assembly,k-cloud computing,sequence alignment,NP-hard problems,architecture,bioinformatics,cloud computing
Computer science,Theoretical computer science,Cloud computing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Martin Bobák1163.59
LADISLAV HLUCHY28213.94
Viet D. Tran36515.84