A first estimation of the proportion of cybercriminal entities in the bitcoin ecosystem using supervised machine learning
HS Yin, R Vatrapu - 2017 IEEE international conference on big …, 2017 - ieeexplore.ieee.org
Bitcoin, a peer-to-peer payment system and digital currency, is often involved in illicit
activities such as scamming, ransomware attacks, illegal goods trading, and thievery. At the …
activities such as scamming, ransomware attacks, illegal goods trading, and thievery. At the …
On the scheduling of energy-aware fault-tolerant mixed-criticality multicore systems with service guarantee exploration
Advancement of Cyber-Physical Systems has attracted attention to Mixed-Criticality Systems
(MCSs), both in research and in industrial designs. As multicore platforms are becoming the …
(MCSs), both in research and in industrial designs. As multicore platforms are becoming the …
Energy-efficient multicore scheduling for hard real-time systems: A survey
As real-time embedded systems are evolving in scale and complexity, the demand for a
higher performance at a minimum energy consumption has become a necessity …
higher performance at a minimum energy consumption has become a necessity …
Energy efficiency for clustered heterogeneous multicores
Heterogeneous multicore systems clustered in multiple Voltage Frequency Islands (VFIs)
are the next-generation solution for power and energy efficient computing systems. Due to …
are the next-generation solution for power and energy efficient computing systems. Due to …
Learning-directed dynamic voltage and frequency scaling scheme with adjustable performance for single-core and multi-core embedded and mobile systems
Dynamic voltage and frequency scaling (DVFS) is a well-known method for saving energy
consumption. Several DVFS studies have applied learning-based methods to implement the …
consumption. Several DVFS studies have applied learning-based methods to implement the …
Energy-efficient task partitioning for real-time scheduling on multi-core platforms
Multi-core processors have become widespread computing engines for recent embedded
real-time systems. Efficient task partitioning plays a significant role in real-time computing for …
real-time systems. Efficient task partitioning plays a significant role in real-time computing for …
Energy-efficient intra-task DVFS scheduling using linear programming formulation
In real-time embedded systems, minimizing energy consumption is one of the most
important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the …
important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the …
READY: Reliability-and deadline-aware power-budgeting for heterogeneous multicore systems
J Saber-Latibari, M Ansari… - … on Computer-Aided …, 2020 - ieeexplore.ieee.org
Tackling the dark silicon problem in a heterogeneous multicore system, the temperature
constraints across the system should be addressed carefully by assigning a proper set of …
constraints across the system should be addressed carefully by assigning a proper set of …
Run-DMC: Runtime dynamic heterogeneous multicore performance and power estimation for energy efficiency
In this paper we propose Run-DMC, an accurate runtime performance and power estimation
scheme for dynamic workloads executing on heterogeneous multicore systems. In contrast …
scheme for dynamic workloads executing on heterogeneous multicore systems. In contrast …
REALISM: Reliability-aware energy management in multi-level mixed-criticality systems with service level degradation
Mixed-criticality embedded systems, as the next-generation of safety-critical systems, are
increasingly employed in the industry due to consolidating functionalities with varying …
increasingly employed in the industry due to consolidating functionalities with varying …