This paper describes the implementation of a real-time power system simulator based on a distributed cluster of PC desktop computers. A Real-time power system simulator based on a PC-cluster can successfully cope with...
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ISBN:
(纸本)076950759X
This paper describes the implementation of a real-time power system simulator based on a distributed cluster of PC desktop computers. A Real-time power system simulator based on a PC-cluster can successfully cope with the size requirements of growing power systems and the computational demands of fast transient studies. The distributed version of OVNI is used as core solver in addition to a developed I/O interface card. Models based on the standard tool for power systems transients simulations, the EMTP program, optimized for real time performance, assure accurate simulation results.
A parallel algorithm, namely parallel block diagonal dominant (PBDD) algorithm, is proposed to solve block tridiagonal linear systems on multi-computers. This algorithm is based on divided-and-conquer idea of the PDD ...
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ISBN:
(纸本)9780769534435
A parallel algorithm, namely parallel block diagonal dominant (PBDD) algorithm, is proposed to solve block tridiagonal linear systems on multi-computers. This algorithm is based on divided-and-conquer idea of the PDD method. When the systems is strictly block diagonal dominant, the PBDD is highly parallel and provides approximate solutions that equals to the exact solutions within machine accuracy. The PBDD method has been implemented on a 64-node multi-computer. The analytic results match closely with the results measured from the numerical experiments.
In this paper, TOPAS(1) -a new parallel programming environnient for distributed systems - is presented. TOPAS automatically analyzes data dependence among tasks and synchronizes data, which reduces the time needed fo...
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ISBN:
(纸本)0769517307;0769517315
In this paper, TOPAS(1) -a new parallel programming environnient for distributed systems - is presented. TOPAS automatically analyzes data dependence among tasks and synchronizes data, which reduces the time needed for parallel program developments. TOPAS also provides supports for scheduling, dynamic load balancing and fault tolerance. Experiments show simplicity and efficiency of parallel programming in TOPAS environment with Jault-tolerant integration, which provides graceful performance degradation and quick reconfiguration time for application recovery.
Renewable energy sources like wind, solar and hydro are reliable alternatives to the conventional energy sources such as oil, natural gas, or coal. distributed power generation systems based on renewable energy source...
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ISBN:
(纸本)9781467309349
Renewable energy sources like wind, solar and hydro are reliable alternatives to the conventional energy sources such as oil, natural gas, or coal. distributed power generation systems based on renewable energy sources have gained tremendous importance worldwide and the trend is catching up in India as well. These are currently being interfaced to the existing systems using voltage source converters (VSC's). The control of such distributed resources is significantly different than the conventional power systems mainly because the VSC's have no inertia unlike the synchronous generators. As the percentage of renewable sources integrated into the utility grid increases, it becomes necessary to adhere to new and strict power quality guidelines. Most of these standards are developed for proper running of these resources in grid and islanded modes and also ensure power quality standards are met. This paper considers the multifunctional capabilities of distributed resource connected to the grid via a voltage source inverter. A simple control algorithm is developed for real and reactive power sharing of the load between various sources. This control algorithm is modified for power quality improvement. A voltage source inverter (VSI) based distributed energy resource is connected to three phase utility grid feeding a variety of linear loads. Simulation results are discussed for the model developed using Sim-Power systems of the Matlab software. The control algorithm can be extended for several distributed resources connected in parallel with suitable modifications.
A parallel volume rendering system for unstructured grid volume data is proposed in this paper. By implementing the mechanism for dynamic load balancing into the system, the authors solve the issue of load imbalance d...
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ISBN:
(纸本)1932415262
A parallel volume rendering system for unstructured grid volume data is proposed in this paper. By implementing the mechanism for dynamic load balancing into the system, the authors solve the issue of load imbalance due to the view dependency and run-time features of early ray termination. An experimental implementation of the system achieved a 4.32-times performance improvement.
The reversal of transactions due to blockchain ledger reorganization has become a major hindrance for public blockchain technologies' adoption in real-world business and financial applications. Since a typical rea...
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ISBN:
(纸本)9781728125831
The reversal of transactions due to blockchain ledger reorganization has become a major hindrance for public blockchain technologies' adoption in real-world business and financial applications. Since a typical real-world product, service, or agreement cannot be reversed;associated transactions in the blockchain ledger must also be final. This paper describes and analyzes the transaction finality solution for our proof of work (PoW) mining based blockchain network, the Kona Blockchain Platform. The solution works even if 49% of the network's total mining power is compromised due to malicious attacks. Although designed for our specific platform, the ideas from the solution can be easily adapted to achieve transaction finality in existing public blockchain networks. This paper also discusses how this can be done. To the best of our knowledge, ours is the first solution for deterministic transaction finality for blockchain networks incentivized exclusively by PoW mining.
With the continually growing popularity of online video sharing, energy consumption in video sharing servers has become an pivotal issue. Energy savings in video servers can be achieved by utilizing low power modes in...
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ISBN:
(纸本)9781467345651;9780769549033
With the continually growing popularity of online video sharing, energy consumption in video sharing servers has become an pivotal issue. Energy savings in video servers can be achieved by utilizing low power modes in disks, but this causes enhanced delay which is not desirable for video sharing services. In this paper, we present a new energy management scheme that jointly optimizes energy and delay for the video storage system. There are two salient characteristics of the proposed scheme. First, it exploits the unique workload characteristics of video sharing services. Second, it includes a new model that efficiently facilitates the selection of power modes for disks. Experiments show that our scheme achieves considerably more energy savings under the same delay level compared to the traditional threshold-based energy management scheme.
A complementary computational approach is proposed for the time-varying Takagi-Sugeno fuzzy model system (TVTSFMS). The proposed approach integrates orthogonal-functional approach (OFA), hybrid Taguchi genetic algorit...
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A complementary computational approach is proposed for the time-varying Takagi-Sugeno fuzzy model system (TVTSFMS). The proposed approach integrates orthogonal-functional approach (OFA), hybrid Taguchi genetic algorithm (HTGA), and a stabilizability condition (SC) for use in designing stable and quadratic-optimal parallel-distributed-compensation (SQOPDC) controllers for optimal control problems. First, the SC was set according to linear matrix inequalities (LMIs). Next, OFA was used to derive an algorithm that only required algebraic computation to solve the TVTSFMS. Finally, The HTGA could be used to search the SQOPDC controller for the TVTSFMS. The SQOPDC controller obtained by the proposed complementary computational approach was evaluated in a case study of a vibratory pendulum design;the successful design verified the usability of the proposed hybrid intelligent computing method.
Many problems require determining the root of a real-valued function of a single variable. Maple and Marletta [6] presented a parallel algorithm that can be used to determine a simple root of such functions. High leve...
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ISBN:
(纸本)0769517315
Many problems require determining the root of a real-valued function of a single variable. Maple and Marletta [6] presented a parallel algorithm that can be used to determine a simple root of such functions. High levels of efficiency were proved for functions satisfying a set of conditions. In this work we present a framework and subsequently a piece of software to evaluate the performance of their algorithm under various conditions and for functions with varying characteristics. We also consider the effects of implementing the algorithm over a heterogeneous network, presenting results and recommendations.
With the development of deep learning, artificial intelligence applications and services have boomed in the recent years, including recommendation systems, personal assistant and video analytics. Similar to other serv...
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ISBN:
(纸本)9781728190747
With the development of deep learning, artificial intelligence applications and services have boomed in the recent years, including recommendation systems, personal assistant and video analytics. Similar to other services in the edge computing environment, artificial intelligence computing tasks are pushed to the network edge. In this paper, we consider the multi-user edge-assisted video analytics task offloading (MEVAO) problem, where users have video analytics tasks with various accuracy requirements. All users independently choose their accuracy decisions, satisfying the accuracy requirement, and offload the video data to the edge server. With the utility function designed based on the features of video analytics, we model MEVAO as a game theory problem and achieve the Nash equilibrium, For the flexibility of making accuracy decisions under different circumstances, a deep reinforcement learning approach is applied to our problem. Our proposed design has much better performance compared with some other approaches in the extensive simulations.
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