J
Juha Plosila
Researcher at University of Turku
Publications - 351
Citations - 5860
Juha Plosila is an academic researcher from University of Turku. The author has contributed to research in topics: Network on a chip & Asynchronous communication. The author has an hindex of 35, co-authored 342 publications receiving 4917 citations. Previous affiliations of Juha Plosila include Information Technology University & Academy of Finland.
Papers
More filters
Journal ArticleDOI
Timepix3: a 65K channel hybrid pixel readout chip with simultaneous ToA/ToT and sparse readout
Tuomas Poikela,Juha Plosila,Tomi Westerlund,Michael Campbell,M. De Gaspari,X. Llopart,V. Gromov,R. Kluit,M. van Beuzekom,F Zappon,V. Zivkovic,C Brezina,Klaus Kurt Desch,Y Fu,Andre Kruth +14 more
TL;DR: A new architecture has been designed for sparse readout and can achieve a throughput of up to 40 Mhits/s/cm2 and the digital design uses a mixture of commercial and custom standard cell libraries and was verified using Open Verification Methodology (OVM) and commercial timing analysis tools.
Journal ArticleDOI
Using Ant Colony System to Consolidate VMs for Green Cloud Computing
Fahimeh Farahnakian,Adnan Ashraf,Tapio Pahikkala,Pasi Liljeberg,Juha Plosila,Ivan Porres,Hannu Tenhunen +6 more
TL;DR: The proposed ACS-based VM Consolidation (ACS-VMC) approach finds a near-optimal solution based on a specified objective function and outperforms existing VM consolidation approaches in terms of energy consumption, number of VM migrations, and QoS requirements concerning performance.
Journal ArticleDOI
Swarms of unmanned aerial vehicles — A survey
TL;DR: The purpose of this study is to analyse the core characteristics of the swarming drones and measure the public awareness levels with respect to these swarms, which demonstrate that the swarms of drones are fundamental future agenda and will be adopted with the passage of time.
Proceedings ArticleDOI
LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers
TL;DR: Experimental results on the real workload traces from more than a thousand Planet Lab VMs show that the proposed technique can significantly reduce the energy consumption and SLA violation rates.
Journal ArticleDOI
Unmanned Aerial Vehicles (UAVs) : Collision Avoidance Systems and Approaches
Jawad N. Yasin,Sherif A. S. Mohamed,Mohammad-Hashem Haghbayan,Jukka Heikkonen,Hannu Tenhunen,Juha Plosila +5 more
TL;DR: An in-depth survey of different collision avoidance techniques that are categorically explained along with a comparative analysis of the considered approaches w.r.t. different scenarios and technical aspects is provided.