Related Experiment Video
Updated: Jul 17, 2025
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
602
Dual core processors: Coupled queues: Transient performance evaluation.
Shaik Salma1, Garimella Ramamurthy1
1Department of CSE, Mahindra University, Bahadurpalli, 500043, India.
Heliyon
|September 4, 2023
Summary
This study models coupled queues in dual-core processors using Quasi-Birth-and-Death processes. It introduces a novel method for efficient transient analysis, enabling better performance estimation and adaptive routing algorithm design for High-Performance Computing systems.
Area of Science:
- Computer Science
- Queueing Theory
- Performance Analysis
Background:
- High-Performance Computing (HiPC) systems utilize multi-core processors, with dual-core processors common in pervasive computing.
- Traditional queueing analysis assumes independent queues, which is unrealistic for adaptive routing policies like Join the Shortest Queue (JSQ).
- Equilibrium analysis of coupled queues does not provide accurate performance measures for systems with adaptive routing.
Purpose of the Study:
- To model coupled queues in dual-core processors using Quasi-Birth-and-Death (QBD) processes.
- To demonstrate the tractability of computing the transient probability distribution of a QBD process directly in the time domain.
- To enable efficient transient performance analysis and design of optimal adaptive routing algorithms.
Main Methods:
- Modeling coupled queues with a Quasi-Birth-and-Death (QBD) process.
- Computing the matrix exponential in the time domain for transient analysis, overcoming limitations of Laplace domain methods.
- Utilizing the transient probability mass function of queue length to estimate performance metrics.
Main Results:
- Equilibrium performance measures for coupled QBD processes were determined.
- A novel, efficient method for computing the transient probability distribution of QBD processes in the time domain was demonstrated.
- Transient performance measures, including expected queue length, average delay, and tail distribution, can be estimated.
Conclusions:
- The proposed QBD model accurately represents coupled queues in dual-core processors.
- Direct time-domain computation of the matrix exponential enables efficient transient analysis, improving performance evaluation.
- This research facilitates the design of improved adaptive routing algorithms for enhanced system performance.
Related Concept Videos
01:20Parallel Processing
179
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
179
01:25Multimachine Stability
188
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
188
01:24Fast Decoupled and DC Powerflow
233
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
233
01:24Transient and Steady-state Response
206
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
206
01:01Production Efficiency
16.9K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
16.9K
01:19Cyclic Processes And Isolated Systems
2.8K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state.
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state.
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
2.8K