the issue of energy efficiency is an important concern at this time. This involves looking for hardware technologies for automating controls, measurement and adjustment in the energy system, and software technologies ...
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ISBN:
(纸本)9781479925995
the issue of energy efficiency is an important concern at this time. This involves looking for hardware technologies for automating controls, measurement and adjustment in the energy system, and software technologies for processing information obtained through hardware technologies. This work follows the possibility of using Cloud computing and gridcomputing for calculations of finesse in energy efficiency. The paper explores some of the basics of cloud computing with aim of introducing cloud computing in distributed system.
Group communications systems have been designed to provide an infrastructure for fault-tolerance in distributed systems, including wide-area systems. In our work on master-worker computation for GriPhyN, which is a la...
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ISBN:
(纸本)0769519202
Group communications systems have been designed to provide an infrastructure for fault-tolerance in distributed systems, including wide-area systems. In our work on master-worker computation for GriPhyN, which is a large project in the area of the computational grid, we asked the question should we build our wide-area master-worker computation using wide-area group communications? This paper explains why we decided doing so was not a good idea.
The Video-on-Demand (VoD) services incorporate streaming of video over network and allow its subscribers to select videos and play them in near real time playback quality including interactive functions like Fast Forw...
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ISBN:
(纸本)9780889866386
The Video-on-Demand (VoD) services incorporate streaming of video over network and allow its subscribers to select videos and play them in near real time playback quality including interactive functions like Fast Forward, Rewind, Random Seek, etc. VoD systems put a huge amount of overhead on the processing capabilities of the video server and need an equally huge amount of storage. These systems also demand a highly optimized network backbone for data transfer. Though lot of research have been carried out in the area of VoD distribution and network optimization, the problems of storage and computation have received only cursory attention. Recently, research in the high performance community has led to the development of gridcomputing technologies for precisely the problems stated above. In this paper, we propose and develop the idea of integrating VoD servers with gridcomputing and describe the system as grid based Video on Demand (GDVoD) system. Prototype of GDVoD system has been developed and experiments have been carried out. The experiments highlight the fact that GDVoD system has low overhead in terms of computation without compromising the quality of the streamed video.
gridcomputing has become a driving force of scientific computing. By combining the resources of distributedcomputing centers under a unified management and offering their computing power (nearly) as seamless as elec...
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ISBN:
(纸本)9780769527840
gridcomputing has become a driving force of scientific computing. By combining the resources of distributedcomputing centers under a unified management and offering their computing power (nearly) as seamless as electrical power, gridcomputing is seen as an important step to solve large scale-out problems. Storage grids and storage clusters try to transfer this idea into the storage domain: By combining the capacity, computing and communication power of storage appliances under a single middleware, storage grids promise to scale in capacity and bandwidth while keeping the administration overhead low. Furthermore, they claim to be more cost effective than standard storage architectures, because they can be built up from standard components. Inside this paper, we analyze the costs related to the least expensive storage grid architecture, which is build solely from standard server components and we show that it is possible to build large-scale architectures with enterprise functionality from standard hardware.
Recently, there has been a fast proliferation of applications creating geospatial data distributed somewhere that has to be processed, queried and analyzed efficiently. Consequently, there is a need for effective data...
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ISBN:
(纸本)9780769534497
Recently, there has been a fast proliferation of applications creating geospatial data distributed somewhere that has to be processed, queried and analyzed efficiently. Consequently, there is a need for effective data processing technologies that are able to support such distributed query and analysis operations. The emergence of gridcomputing offers a well solution to accomplish this goal. Development technologies to accomplish grid GIS were derived in this;paper. After discussing the structure of grid GIS for geospatial data integration, one actual prototype system was designed and then implemented. Several implementation methods, including global directory construction and global parsing algorithm, were brought forward in this paper. Through the grid. system, integration of distributed geospatial data was achieved.
This paper presents a run-time scheduling policy to map tasks to resources in gridcomputing systems based on Multi-Agent System (MAS). This policy schedules tasks in run-time and avoids the waste of resources. A simu...
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ISBN:
(纸本)0769524052
This paper presents a run-time scheduling policy to map tasks to resources in gridcomputing systems based on Multi-Agent System (MAS). This policy schedules tasks in run-time and avoids the waste of resources. A simulation result is presented to prove the availability of this policy.
P2P and gridcomputing are two paradigms that are increasingly used in today's computing environments;their potential to provide better quality of service to users is very promising compared to the cost involved. ...
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ISBN:
(纸本)9781424412501
P2P and gridcomputing are two paradigms that are increasingly used in today's computing environments;their potential to provide better quality of service to users is very promising compared to the cost involved. This paper presents a hierarchical virtual network topology built on top of a physical one, which is used to manage distributed resources in a grid environment. The virtual topology defines an efficient and robust virtual machine, which will serve as a distributedcomputing platform. This topology is called THON (Tessellation-based Hierarchical Overlay Network) and is the successor of the Treep topology. THON is exploited in DGET, a data-grid middleware environment, and provides P2P resource discovery and load balancing. Here, we present the virtual topology theoretically and we show that this topology is very scalable, robust, load-balanced, and easy to construct and maintain. The topology efficiently exploits the heterogeneity of the network while limiting the overhead introduced by the overlay maintenance.
The integration of computational capabilities with the electrical infrastructure of the grid can be envisioned as a societal scale Cyber Physical System (CPS). Middleware frameworks can act as a layer of abstraction t...
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ISBN:
(纸本)9798350322811
The integration of computational capabilities with the electrical infrastructure of the grid can be envisioned as a societal scale Cyber Physical System (CPS). Middleware frameworks can act as a layer of abstraction that manages the interaction between disparate applications to facilitate intelligent control and management of energy production and consumption. This demonstration showcases Resilient Information Architecture Platform for Smart grid (RIAPS), a distributed software platform that combines a domain specific modeling language with framework-level services such as communication, remote deployment of applications, distributed coordination, time synchronization, and fault tolerance, to develop and run distributed applications. An example of an energy demand curtailment scheme called load shedding is presented, to highlight how the RIAPS framework can be used to implement distributed algorithms to control elements of a power system, which runs as a simulation using OpenDSS.
gridcomputing got much attention lately-not only from the academic world, but also from industry and business. But what remains when the dust of the many press articles has settled? We try to answer this question by ...
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ISBN:
(纸本)3540440496
gridcomputing got much attention lately-not only from the academic world, but also from industry and business. But what remains when the dust of the many press articles has settled? We try to answer this question by investigating the concepts and techniques grids are based on. We distinguish three kinds of grids;the HTML-based Information grid, the contemporary Resource grid, and the newly evolving Service grid. We show that gridcomputing is not just another hype, but has the potential to open new perspectives for the co-operative use of distributed resources. gridcomputing is on the right way to solve a key problem in our distributedcomputing world: the discovery and coordinated use of distributed, services that may be implemented by volatile, dynamic local resources.
As a novel computation mode, the methodology of gridcomputing can exploit geographically and organizationally distributed computational resources for solving reactive power optimization problems. A grid-computing arc...
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ISBN:
(纸本)9810557027
As a novel computation mode, the methodology of gridcomputing can exploit geographically and organizationally distributed computational resources for solving reactive power optimization problems. A grid-computing architecture for reactive power optimization is designed herein. Considering the characteristics of reactive power, a large-scale power system can be divided into many small-scale subsystems according to administrative domain and network structure. The optimization subproblems for corresponding subsystems can be worked out autonomously by agents, which are wrapped into grid services. The agents are diverse in objective functions, optimization algorithms and power flow algorithms. gridcomputing technology is adopted to integrate the heterogeneous computational resources, which are distributed to different subsystems and dominated by different control centers. The simulation results of a practical power system show the feasibility of the proposed method.
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