Vlado Stankovski

Prof. Vlado Stankovski

Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 December 2019 in Future Generation Computer Systems
Verified
Journal Article
Open access
PKPetar Kochovski
Petar Kochovski
SGSandi Gec
Sandi Gec
Vlado StankovskiVlado Stankovski
Vlado Stankovski
MBMarko Bajec
Marko Bajec
PDPavel D. Drobintsev
Pavel D. Drobintsev

1 February 2018 in Journal of Systems and Software
Verified
Journal Article
Open access
STSalman Taherizadeh
Salman Taherizadeh
AJAndrew C. Jones
Andrew C. Jones
ITIan Taylor
Ian Taylor
ZZZhiming Zhao
Zhiming Zhao
Vlado StankovskiVlado Stankovski
Vlado Stankovski

1 January 2018 in Automation in Construction
Verified
Journal Article
Open access
PKPetar Kochovski
Petar Kochovski
Vlado StankovskiVlado Stankovski
Vlado Stankovski

8 May 2018 in The Computer Journal
Verified
Journal Article
Open access
STSalman Taherizadeh
Salman Taherizadeh
Vlado StankovskiVlado Stankovski
Vlado Stankovski

4 September 2018 in Sensors
Verified
Journal Article
Open access
PDF file
STSalman Taherizadeh
Salman Taherizadeh
Vlado StankovskiVlado Stankovski
Vlado Stankovski
MGMarko Grobelnik
Marko Grobelnik
The adoption of advanced Internet of Things (IoT) technologies has impressively improved in recent years by placing such services at the extreme Edge of the network. There are, however, specific Quality of Service (QoS) trade-offs that must be considered, particularly in situations when workloads vary over time or when IoT devices are dynamically changing their geographic position. This article proposes an innovative capillary computing architecture, which benefits from mainstream Fog and Cloud computing approaches and relies on a set of new services, including an Edge/Fog/Cloud Monitoring System and a Capillary Container Orchestrator. All necessary Microservices are implemented as Docker containers, and their orchestration is performed from the Edge computing nodes up to Fog and Cloud servers in the geographic vicinity of moving IoT devices. A car equipped with a Motorhome Artificial Intelligence Communication Hardware (MACH) system as an Edge node connected to several Fog and Cloud computing servers was used for testing. Compared to using a fixed centralized Cloud provider, the service response time provided by our proposed capillary computing architecture was almost four times faster according to the 99th percentile value along with a significantly smaller standard deviation, which represents a high QoS.

1 January 2013 in Journal of Cloud Computing
Verified
Journal Article
Open access
PDF file
DPDana Petcu
Dana Petcu
BMBeniamino Di Martino
Beniamino Di Martino
Salvatore VenticinqueSalvatore Venticinque
Salvatore Venticinque
Massimiliano RakMassimiliano Rak
Massimiliano Rak
TMTamás Máhr
Tamás Máhr
Vlado StankovskiVlado Stankovski
Vlado Stankovski
The diversity of Cloud computing services is challenging the application developers as various and non-standard interfaces are provided for these services. Few middleware solutions were developed until now to support the design, deployment and execution of service-independent applications as well as the management of resources from multiple Clouds. This paper focuses on one of these advanced middleware solutions, called mOSAIC. Written after the completion of its development, this paper presents an integrated overview of the mOSAIC approach and the use of its various software prototypes in a Cloud application development process. We are starting from the design concepts and arrive to various applications, as well as to the position versus similar initiatives.