Mesh-connected processor array is a popular architecture used in parallelprocessing. Extensive studies have been conducted on reconfiguration algorithms for the processor arrays with faults, but few work is on parall...
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ISBN:
(纸本)9780769548791
Mesh-connected processor array is a popular architecture used in parallelprocessing. Extensive studies have been conducted on reconfiguration algorithms for the processor arrays with faults, but few work is on parallel algorithm to accelerate the reconfiguration. this paper presents a fast algorithm to reconfigure two dimensional mesh-connected processor arrays with faults. A traditional algorithm is successfully accelerated in the manner of multithread, without loss of harvest. the proposed algorithm reconfigures the processor array withthe mechanics of route distance in order to avoid the routing errors. Simulation results show that the proposed algorithm can accelerate the reconfiguration nearly by 15 times on a 64 x 64 array in comparison to the traditional algorithm cited in this paper.
Withthe rapid development of edge computing technology, the application of edge computing in smart grids has become more and more extensive. But edge computing has not yet been applied to the operation control of dis...
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ISBN:
(纸本)9781665435741
Withthe rapid development of edge computing technology, the application of edge computing in smart grids has become more and more extensive. But edge computing has not yet been applied to the operation control of distributed power generation microgrid systems. this article proposes a microgrid-oriented edge computing architecture. First, we introduce the main functions of edge-cloud collaboration. then we explain the construction plan of the architecture, including the realization of data processing, network communication and security mechanisms. Finally, we introduce the architecture application practice in a rural community in Central China.
Smart devices, mobile robots, ubiquitous sensors, and other connected devices in the Internet of things (IoT) increasingly require real-time computations beyond their hardware limits to process the events they capture...
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ISBN:
(纸本)9781509036820
Smart devices, mobile robots, ubiquitous sensors, and other connected devices in the Internet of things (IoT) increasingly require real-time computations beyond their hardware limits to process the events they capture. Leveraging cloud infrastructures for these computational demands is a pattern adopted in the IoT community as one solution, which has led to a class of Dynamic Data Driven applications (DDDA). these applications offload computations to the cloud through distributed Stream processing Frameworks (DSPF) such as Apache Storm. While DSPFs are efficient in computations, current implementations barely meet the strict low latency requirements of large scale DDDAs due to inefficient inter-process communication. this research implements efficient highly scalable communication algorithms and presents a comprehensive study of performance, taking into account the nature of these applications and characteristics of the cloud runtime environments. It further reduces communication costs within a node using an efficient shared memory approach. these algorithms are applicable in general to existing DSPFs and the results show significant improvements in latency over the default implementation in Apache Storm.
Exposing the runtime behavior of long running, resource-burning scientific applications on HPC platforms is a must if the platforms are going to be used efficiently and wisely. this paper presents a small work in prog...
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ISBN:
(纸本)9781509036820
Exposing the runtime behavior of long running, resource-burning scientific applications on HPC platforms is a must if the platforms are going to be used efficiently and wisely. this paper presents a small work in progress that aims to automatically instrument scientific applications in order to produce a heartbeat event that indicates the application is still progressing. Preliminary results show the feasibility of an automatic approach that will not require developer or user intervention.
this paper addresses a problem of consistent recovery of SOA processing. So far, the recovered state was considered as consistent if all events that have occurred before the failure were transparently recovered. Howev...
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ISBN:
(纸本)9781479942930
this paper addresses a problem of consistent recovery of SOA processing. So far, the recovered state was considered as consistent if all events that have occurred before the failure were transparently recovered. However, providing such a strict consistency introduces a high performance overhead. thus, we propose the semantic-based classification of services that enables to slack the notion of consistent recovered state from the viewpoint of services. We also present the extension of RESERVE rollback-recovery protocol that guarantees the proposed relaxed recovery consistency.
this paper presents an overview of partial power processing (PPP) DC/DC converter architectures in PV applications which has maximum power point tracking (MPPT) capability. the main objectives of PPP in PV application...
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ISBN:
(数字)9781665466189
ISBN:
(纸本)9781665466189
this paper presents an overview of partial power processing (PPP) DC/DC converter architectures in PV applications which has maximum power point tracking (MPPT) capability. the main objectives of PPP in PV applications target to increase the power density and efficiency while reducing overall cost. the converters applied to the PPP is called partial power converter (PPC) and there are three most actively explored topologies in the solar industrial fields: differential power converter (DPC), fractional power converter (FRPC), and partial power converter (PPC). Some previous studies analyze and compare several PPCs in a highly qualitative manner. In this work, PPP topologies are classified in a comprehensive manner, and their power processing capabilities are analyzed withthe volt-ampere (VA) area modeling. Moreover, quantitative comparison of PPP topologies by means of utilization factor (UF) is presented and compared for a utility scale solar park scenario. Finally, overview of PPP architectures are compared and organized withthe table.
Cloud computing allows Web application owners to host their applications with low operational cost and enables them to scale applications to maintain performance based on traffic load and application resource requirem...
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ISBN:
(纸本)9780769546766
Cloud computing allows Web application owners to host their applications with low operational cost and enables them to scale applications to maintain performance based on traffic load and application resource requirements. However, for multi-tier Web applications, it is difficult to automatically identify the exact location of a bottleneck and scale the appropriate resource tier accordingly because multi-tier applications are complex and bottleneck patterns may be dependent on the specific pattern of workload at any given time. this Ph.D. dissertation aims to explore the possibilities to satisfy response time guarantees for multi-tier applications hosted on clouds using adaptive resource management with minimal hardware profiling and application-centric knowledge.
Interactive multi-user Internet games require frequent state updates between players to accommodate the great demand for reality and interactivity. the large latency and limited bandwidth on the Internet greatly affec...
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ISBN:
(纸本)9780769538686
Interactive multi-user Internet games require frequent state updates between players to accommodate the great demand for reality and interactivity. the large latency and limited bandwidth on the Internet greatly affects the game's scalability. the High Level Architecture (HLA) is the ieee standard for distributed simulation with its Data Distribution Management (DDM) set-vice group assuming the functionalities of interest management. With its support for reuse and interoperability and its DDM support for communication optimization, the HLA is promising at supporting multi-user gaming on the Internet. However this usually requires particular prior security setup across administrative domains according to the specific Run Time Infrastructure (RTI) used. We have previously developed a Service Oriented HLA RTI (SOHR) which enables distributed simulations to be conducted across administrated domains on the Grid. this paper discusses multi-user gaming on the Grid using SOHR. Specifically, a maze game is used to illustrate how SOHR enables users to join a game conveniently. Experiments have been carried out to show how DDM can improve the communication efficiency.
the internationalparallel and distributedprocessingsymposium (IPDPS) 2008 panel withthe title "How to avoid making the same Mistakes all over again: What the parallel-processing Community has (failed) to offe...
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the internationalparallel and distributedprocessingsymposium (IPDPS) 2008 panel withthe title "How to avoid making the same Mistakes all over again: What the parallel-processing Community has (failed) to offer the multi/many-core Generation" sought to provoke discussion on current and recent computer science education in relation to the emergence of fundamentally parallel multi/many-core systems. Is today's/tomorrow's/yesterday's computer science graduate equipped to deal withthe challenges of parallel software development for such systems? Are mistakes from the past being unnecessarily repeated? What are the fundamental contributions of the parallelprocessing research community to the current state of affairs that are possibly being ignored? What are the new challenges that have not been addressed in past parallelprocessing research? How should computer-science education in parallelprocessing look like? Should it be taught at all? To the extent that there was consensus among the panelists, they agreed on the premise for the panel, namely that there is a mismatch in computer-science education concerning parallelism, and that there may be reasons to be concerned. they agreed on stressing the importance of (a) applications as a driving factor in research and education, (b) parallel algorithms, and of (c) focusing on the ease of parallel programming and not exclusively on parallel performance, and cited for instance heterogeneous parallelism and power awareness as new issues for the multi-core generation. the panelists were Hideharu Amano (Keio University), John Gustafson (Clearspeed Technologies), Keshav Pingali (University of Austin, Texas), Vivek Sarkar (Rice University), Uzi Vishkin (University of Maryland), and Katherine Yelick (University of California at Berkeley). the panel was organized and moderated by the author. (c) 2009 Elsevier Inc. All rights reserved.
the popularity of data-parallelapplications and big data platforms has led to a variety of communication patterns in data center, which brings more complexity to task scheduling. Existing works try to minimize the ov...
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ISBN:
(纸本)9781538637906
the popularity of data-parallelapplications and big data platforms has led to a variety of communication patterns in data center, which brings more complexity to task scheduling. Existing works try to minimize the overall completion time (i.e. makespan) of tasks but fail to take a full consideration of the relationship among tasks. Focusing on this, we propose a novel task scheduling scheme, CODE, which incorporates boththe correlation and dependency among tasks for scheduling. We formulate the problem as a variant of Flexible Job Scheduling Problem (FJSP) to minimize the makespan. Firstly, we propose a novel network abstraction to describe the tasks as well as their relationship. then the problem is formulated into an extensive FJSP and we solve it with a Tabu Search Algorithm. the evaluation has demonstrated the effectiveness of our method. Specifically, there is a reduction of over 16% in makespan with CODE compared with baseline scheduling scheme.
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