A computerized total energy management system makes on-line processing such as alarming and selective load shedding available. A distributedprocessing system, which distributes the functions and centralizes the essen...
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A computerized total energy management system makes on-line processing such as alarming and selective load shedding available. A distributedprocessing system, which distributes the functions and centralizes the essential data toward the host computer, is highly reliable and can respond quickly. The target percentage of energy saved is 1. 0 - 3. 0% by the installation of the energy management system and the target period of return on investment and payback is usually within 2 years.
A compiler for a distributed system should both run on that system and generate distributed code for that system. The compiler must be organized so that its tasks will run in parallel on the nodes of the system. New m...
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A compiler for a distributed system should both run on that system and generate distributed code for that system. The compiler must be organized so that its tasks will run in parallel on the nodes of the system. New methods of compile time error recovery are necessary. The compiler should include a partitioning routine which can divide any source program into separate run time modules automatically. The problems of control of the run time environment and run time error recovery also require new solutions in a distributed system.
Event processing systems are a promising technology for enterprise-scale applications. However, achieving scalability yet maintaining high performance is a challenging problem. This work introduces a parallel matching...
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作者：
Schikuta, EUniv Vienna
Inst Knowledge & Business Engn Res Lab Computat Technol & Applicat A-1010 Vienna Austria
We develop a concise but comprehensive analytical model for the well-known Nested Loop Join algorithm on cost effective cluster architectures. We concentrate on a limited number of characteristic parameters to keep th...
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ISBN:
(纸本)3540297693
We develop a concise but comprehensive analytical model for the well-known Nested Loop Join algorithm on cost effective cluster architectures. We concentrate on a limited number of characteristic parameters to keep the analytical model clear and focused. We believe that a meaningful model can be built upon only three characteristic parameter sets, describing main memory size, the I/O bandwidth and the disk bandwidth. We justify our approach by a practical implementation and a comparison of the theoretical and real performance values.
Some trading strategies are becoming more and more complicated and utilize a large amount of data, which makes the backtesting of these strategies very time consuming. This paper presents an efficient implementation o...
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ISBN:
(纸本)3540297693
Some trading strategies are becoming more and more complicated and utilize a large amount of data, which makes the backtesting of these strategies very time consuming. This paper presents an efficient implementation of the backtesting of such a trading strategy using a parallel genetic algorithm (PGA) which is fine tuned based on thorough analysis of the trading strategy. The reuse of intermediate results is very important for such backtesting problems. Our implementation can perform the backtesting within a reasonable time range so that the tested trading strategy can be properly deployed in time.
This paper proposes a cooperative distributed natural language understanding model that does syntactic, semantic, and pragmatic *** independently and in parallel, unifying analysis results (logical forms) with those o...
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In this paper, we introduce graph theory into transient stability analysis in power system. In the weighted graph, Vertex weight represents node's parallel computing workload and edge weight represents serial comp...
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ISBN:
(纸本)3540297693
In this paper, we introduce graph theory into transient stability analysis in power system. In the weighted graph, Vertex weight represents node's parallel computing workload and edge weight represents serial computing workload on the border of regions, which reflects the degree of parallelism of computing and improves speed-up ration of system. In order to reduce communication time wastage induced by CSMA protocol in TCP/IP based LAN, asynchronous message passing is used in our method. Simulation results show that it achieves better performance.
作者：
Navarro, Jose A.CERCA
CTTC Av Carl Friedrich Gauss7 Bldg B4 Castelldefels 08860 Spain
This paper presents the first experiences of the author with GEE (Google Earth Engine). A C++ image processing algorithm, still under development, was migrated to this new environment using GEE's web interface and...
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ISBN:
(纸本)9789897582523
This paper presents the first experiences of the author with GEE (Google Earth Engine). A C++ image processing algorithm, still under development, was migrated to this new environment using GEE's web interface and the JavaScript language. The idea is to discover the problems that might arise when migrating to this environment as well as to assess the presumable performance boost that should be achieved. A reduced-more didactic-version of the aforementioned algorithm is presented in a step-by-step way along with a brief description of the advantages and drawbacks-from the authors standpoint-of GEE.
Data replication can be used to reduce bandwidth consumption and access latency in the distributed system where users require remote access to large data objects. In this paper, according to the intrinsic characterist...
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ISBN:
(纸本)3540297693
Data replication can be used to reduce bandwidth consumption and access latency in the distributed system where users require remote access to large data objects. In this paper, according to the intrinsic characteristic of distributed storage system, the parallel replication algorithm NBPRA (Network-Bandwidth-based parallel Replication Algorithm) is proposed. In the NBPRA, according to the network state, several replicas of a data object are selected, which are of the least access cost;then the different parts of the data object are transferred from these replicas, and they are used to make a new replica. The results of performance evaluation show that the NBPRA can utilize the network bandwidth efficiently, provide high data replication efficiency and substantially better access efficiency, and the improvement of system performance is related to the number of different data objects accessed by jobs.
The size of the databases used in today's enterprises has been growing at exponential rates day by day. Simultaneously, the need to process and analyze the large volumes of data for business decision making has al...
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ISBN:
(纸本)9781467317191;9781467317207
The size of the databases used in today's enterprises has been growing at exponential rates day by day. Simultaneously, the need to process and analyze the large volumes of data for business decision making has also increased. In several business and scientific applications, there is a need to process terabytes of data in efficient manner on daily bases. This has contributed to the big data problem faced by the industry due to the inability of conventional database systems and software tools to manage or process the big data sets within tolerable time limits. processing of data can include various operations depending on usage like culling, tagging, highlighting, indexing, searching, faceting, etc operations. It is not possible for single or few machines to store or process this huge amount of data in a finite time period. This paper reports the experimental work on big data problem and its optimal solution using Hadoop cluster, Hadoop distributed File System (HDFS) for storage and using parallelprocessing to process large data sets using Map Reduce programming framework. We have done prototype implementation of Hadoop cluster, HDFS storage and Map Reduce framework for processing large data sets by considering prototype of big data application scenarios. The results obtained from various experiments indicate favorable results of above approach to address big data problem.
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