Semantic grid is becoming a key enabler for next generation grid and the need of supporting process description and enactment, by means of composition of multiple resources, emerged as one of the fundamental requireme...
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ISBN:
(纸本)0769524486
Semantic grid is becoming a key enabler for next generation grid and the need of supporting process description and enactment, by means of composition of multiple resources, emerged as one of the fundamental requirements. Within Next grid(1) project, the idea of adopting business processes (expressed as workflow policies) as architectural components in a next generation grid has been developed with the aim of providing architecture with dynamic behaviour and interoperability. The need of a semantic workflow representation language then emerged and was developed defining an OWL-S extension able to support workflow description. The resulting OWL-WS (OWL for Workflow and Services) ontology allows us modelling concept like abstract and concrete services and workflows according to a Semantic Workflow Model also enabling specification of higher-order workflows and semantic service grouping. This language is being used for specifying adaptive business processes (policy) that are used as evaluation and binding mechanisms by a Workflow Enactment Engine.
distributed generations (DGs) have considerably upgraded the traditional structure of power network with the penetration of renewable energy systems (RES). This paper proposed the control scheme for converter system t...
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ISBN:
(纸本)9781538628423
distributed generations (DGs) have considerably upgraded the traditional structure of power network with the penetration of renewable energy systems (RES). This paper proposed the control scheme for converter system to improve the power quality of the wind energy system (WES) connected to DC microgrid. In this paper, the proposed control scheme is designed and implemented for the WES connected to the DC grid to improve the dynamic response. The WES connected to DC grid is modeled in MATLAB SIMULINK to validate the improvement in power quality of the DFIG based WES with proposed control scheme. The results are discussed to validate the proposed control scheme.
With the advances of networking and cloud computing technologies, many web services are often implemented as cloud services by different service providers, and some SPs compose those services to create an end-to-end n...
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ISBN:
(纸本)9781479920815
With the advances of networking and cloud computing technologies, many web services are often implemented as cloud services by different service providers, and some SPs compose those services to create an end-to-end network service. In this service-oriented network virtualization environment, two important but somehow contradictory technical challenges are 1) how to select an optimal service path in order to meet the QoS requirements by users, and 2) how to balance the loads to fully utilize the whole systems. In this paper, we present an adaptive service path selection algorithm in service-oriented network virtualization environment, which assures QoS and balances the load at the same time. The proposed algorithm selects appropriate component services from multiple candidate service instances running on virtual machines and creates an optimal service path satisfying the users' QoS requirements. Our algorithm also dynamically adapts to the optimal service path based on various changes. Since the proposed algorithm handles a variation of the multi-constrained path selection problem known as NP-complete, we formulate the problem using ant colony optimization algorithm. The experimental results show that our algorithm guarantees the maximal QoS to the users while balancing the load at the same time, and adapts to the optimal service path based on the situational changes.
In this paper, we study resource allocation strategy about the virtualized servers. Based on a non-cooperative game theory, we employ bidding model to solve the resource allocation problem in virtualized servers with ...
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ISBN:
(纸本)9780769546766
In this paper, we study resource allocation strategy about the virtualized servers. Based on a non-cooperative game theory, we employ bidding model to solve the resource allocation problem in virtualized servers with multiple instances competing for resources. The optimal response function of utility function which we introduced makes every player bidding prices reasonable. Although utility function is not well-defined at the point of zero, we show that the bidding game still has a unique equilibrium point. In our model, recourses are well allocated to every virtual machine and the utilization of virtual resources is improved.
This paper presents an efficient and effective approach to personal identification by parallel biometrics computing using mobile agents. To overcome the limitations of the existing password-based authentication servic...
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ISBN:
(纸本)0769520170
This paper presents an efficient and effective approach to personal identification by parallel biometrics computing using mobile agents. To overcome the limitations of the existing password-based authentication services on the Internet, we integrate multiple personal features including fingerprints, palmprints, hand geometry and face into a hierarchical structure for fast and reliable personal identification and verification. To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature extraction, multiple feature integration, dynamic biometric data indexing and guided search. To solve the problems associated with bottlenecks and platform dependence, we apply a four-layered structural model and a three-dimensional operational model to achieve high performance. Instead of applying predefined task scheduling schemes to allocate the computing resources, we introduce a new on-line competitive algorithm to guide the dynamic allocation of mobile agents with greater flexibility. The experimental results demonstrate the feasibility and the potential of the proposed method.
Like all computing platforms, grids are in need of a suite of benchmarks by which they can be evaluated, compared and characterized. As a first step towards this goal, we have developed a set of probes that exercise b...
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ISBN:
(纸本)0769521320
Like all computing platforms, grids are in need of a suite of benchmarks by which they can be evaluated, compared and characterized. As a first step towards this goal, we have developed a set of probes that exercise basic grid operations with the goal of measuring the performance and the performance variability of basic grid operations, as well as the failure rates of these operations. We present measurement data obtained by running our probes on a grid testbed that spans 5 clusters in 3 institutions. These measurements quantify compute times, network transfer times, and Globus middleware overhead. Our results help provide insight into the stability, robustness, and performance of our testbed, and lead us to make some recommendations for future grid development.
Algorithmic skeletons are patterns of parallel computations. Skeletal parallel programming eases parallel programming: a program is merely a composition of such patterns. Data-parallel skeletons operate on parallel da...
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This paper formulates a pattern search method for nonlinear programming. A distributedparallel algorithm is given based on the pattern search method by distributing the direction to every processor. Promising experim...
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Porting to the cloud large scientific applications designed and optimized for a standard HPC facility does not always pay off, mainly because of the implied communication pattern. By profiling the applications, resear...
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ISBN:
(纸本)9781728116440
Porting to the cloud large scientific applications designed and optimized for a standard HPC facility does not always pay off, mainly because of the implied communication pattern. By profiling the applications, researchers can build a performance model, which is able to give insights about how the application will perform on the cloud. To validate this approach, we use a hemodynamic application that embeds both heavy computations and extensive communications with several collective operations to exchange data across all processes. We expect that this case instance is a model for other applications. Our approach is based on profiling and modeling, and builds an analytical model for the communication pattern of the chosen hemodynamic application. We collect data both on an on-premise HPC system and on the Google Cloud infrastructure, and assess the prediction based on the analytic model. The outcome suggests that the prediction consistently underestimates the actual execution time, but correctly guess the scalability, thus allowing to strike a good balance between performance and costs. Finally, we introduce a figure of merit to assess cost vs performance between cloud and on-premise implementation, and validate a first version of such a model.
Advanced Metering Infrastructure (AMI) is an important element of the Smart grid as it is expected to facilitate the transport of meter readings from meters to the utility provider and control information (potentially...
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ISBN:
(纸本)9780769548654;9781467351461
Advanced Metering Infrastructure (AMI) is an important element of the Smart grid as it is expected to facilitate the transport of meter readings from meters to the utility provider and control information (potentially) in the other direction. One approach to realize AMI entails deploying concentrator devices in a neighbourhood. The meters would then associate with and subsequently communicate over single/multi-hop short range wireless links with the concentrator which in turn would forward the data to the data management systems. A key problem that arises in such networks is for the meter to decide which concentrator to associate with when multiple of these are available in the vicinity. This paper proposes a tree balancing algorithm called 'TREEB' which enables the smart meter nodes to assess the state of concentrators in the vicinity and use this information to decide which concentrator to join. TREEB has been realized as enhancements to the IETF RPL protocol without affecting backwards compatibility. It is practical to implement, operates in a distributed manner and helps to balance the networks of the different concentrators as shown by results obtained from its performance evaluation.
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