Data Centers
Along with the rise of cloud computing, data centers are being reinvented via virtualization, servers and high-performance computing. Find out more in with the latest white papers and case studies.
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Grid Interoperability by Multiple Broker Utilization and Meta-Brokering
As grid technology matures the number of production grids dynamically increases. The management and the optimal utilization of these grid resources cannot be handled by the users themselves. To hide the lower level details of grid access, grid portals have been developed. Unfortunately, today's grid portals are typically tightly coupled...
Provided By University of Szczecin
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Data Model for Describing Grid Resource Broker Capabilities
Since the management and the optimal utilization of the highly dynamic grid resources cannot be handled by the users themselves, various grid Resource Brokers have been developed, supporting different grids. To ease interoperability and the higher level utilization of different resource brokers, the authors introduce a metadata model for storing...
Provided By University of Szczecin
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The FPGA Implementation of Pulse Width Modulation
Most of the physical systems applications require a real-time operation to interface high speed restraints. The simple and common way to implement these systems is to realize it as a software program on general purpose computers, these ways cannot be considered as a suitable design solution. Higher density programmable logic...
Provided By EuroJournals
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Smart Bacterial Foraging Optimization Algorithm for Scheduling in Grid
This paper proposes a smart Bacterial Foraging optimization Algorithm an intelligent exploitation of biologically inspired group foraging behavior of Escherichia coli (E-Coli) present in the human intestine. Intelligence is a key feature in the next generation of Grid computing and is embedded in the authors' Bacterial Foraging optimization algorithm as...
Provided By EuroJournals
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Job Scheduling in Grid Computing with Cuckoo Optimization Algorithm
Computational grid is a hardware and software infrastructure that provides dependable, inclusive and credible to other computing capabilities. Grid computing intercommunicated with a set of computational resources on a large scale. Scheduling independent jobs is an important issue in such areas as computational grid. Scheduling is the process of assigning...
Provided By International Journal of Computer Applications
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A New Hybrid Algorithm to Solve the Task Scheduling Problem in Grid Computing
The new generation of networks, distributed systems, grid computing, which allows users to share files and Users need to use different sources to provide. Grid computing system as one of the competing technologies for cloud computing can be considered to have many advantages for users. One goal of grid computing...
Provided By International Journal of Computer Applications
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A Grid Computing Service for Power System Monitoring
Extensively interconnected power grid has been a long cherished dream of the power system engineers. Recently, the incredible publicity of smart grid has brought about a revolution in the way the power system's operation and control functions are planned. However, attempts to interconnect power system grids have consistently resulted in...
Provided By International Journal of Computer Applications
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Information Aggregation Techniques in Different Networks
Due to the different evolutions in science and engineering, problems in computation fields are becoming complicated. In-order to solve these problems, the authors needs to combine and use the computer resources scattered around the world. Hence they use the concept of Grid computing. Grid computing is a way to aggregate...
Provided By International Journal of Computer Applications
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A New Approach for Dynamic Job Scheduling in a Volunteer Desktop Grid
Nodes in a volunteer desktop grid are based on the volunteer participation of desktop nodes owned by the individual users. The volunteer nodes contribute their idle resources for public execution during their free time and withdraw during their busy time due to high priority node owner's private execution. This property...
Provided By International Journal of Computer Applications
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Advance Reservation Based DAG Application Scheduling Simulator for Grid Environment
In the last decade, scheduling of Directed Acyclic Graph (DAG) application in the context of Grid environment has attracted attention of many researchers. However, deployment of Grid environment requires skills, efforts, budget, and time. Although various simulation toolkits or frameworks are available for simulating Grid environment, either they support different...
Provided By International Journal of Computer Applications
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A Science Gateway - MOWIC: Modern Web Interface for Cluster
High performance computing has been developed over the years providing researchers with the most powerful computational machines available at a given time. The National Science Foundation, which directs research and development of these resources, has outlined goals for developing sustainable and extensible HPC systems and services,. These goals include the...
Provided By International Journal of Computer Applications
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A Novel Data Partitioning Approach for Association Rule Mining on Grids
Mining association rules refers to extracting useful knowledge from large databases. Algorithms of this technique are both data and computation-intensive, which make grid platforms very attractive for them. However, to exploit these platforms, new data partitioning features are required where the specificities of both association rule mining technique and grids...
Provided By Tunir Software Services
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Towards Proactive Resource Management in Virtualized Datacenters
Proactive resource management involves taking actions to make resources available for upcoming load spikes. Proactive resource management is highly desirable for managing resources in a multitenant cloud where it is common to have hot-spots at some locations, while still having spare resources scattered throughout the datacenter. Inability to quickly use...
Provided By VMW Games
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An Interactive Graph-Based Automation Assistant: A Case Study to Manage the GIPSY's Distributed Multi-Tier Run-Time System
The GIPSY system provides a framework for a distributed multi-tier demand-driven evaluation of heterogeneous programs, in which certain tiers can generate demands, while others can respond to demands to work on them. They are connected through a virtual network that can be flexibly reconfigured at run-time. Although the demand generator...
Provided By Concordia University
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Parallel Grid Library for Rapid and Flexible Simulation Development
The authors present an easy to use and flexible grid library for developing highly scalable parallel simulations. The distributed cartesian cell-refinable grid (dccrg) supports adaptive mesh refinement and allows an arbitrary C++ class to be used as cell data. The amount of data in grid cells can vary both in...
Provided By University of Heilongjiang
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Virtex 4 Field Programmable Gate Array Based 32 Bit FPM
FPGAs are increasingly being used in the high performance and scientific computing community to implement floating-point based hardware accelerators. The authors present FPGA floating-point multiplication. Such circuits can be extremely useful in the FPGA implementation of complex systems that benefit from the re-programability and parallelism of the FPGA device but...
Provided By International Journal of Electronics Communication and Computer Engineering
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Demand Shaping to Achieve Steady Electricity Consumption With Load Balancing in a Smart Grid
The purpose of this paper is to study conflicting objectives between the grid operator and consumers in a future smart grid. Traditionally, customers in electricity grids have different demand profiles and it is generally assumed that the grid has to match and satisfy the demand profiles of all its users....
Provided By Cornell University
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Automotive Group Reduces Servers and Boosts Performance
In today's market for new and used cars, customers are often in the driver's seat, actively communicating with dealers about what they need at all hours. Their challenges are to Provide always-on availability and responsiveness to staff and customers, delivering high-performance resources and Reduce infrastructure and operating costs. They chose...
Provided By Cisco
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Markov Game Analysis for Attack-Defense of Power Networks Under Possible Misinformation
In this paper, the authors use zero-sum Markov games to model these interactions subject to underlying uncertainties of real-world events and actions. They solve equilibrium mixed strategies of the players that maximize their respective minimum payoffs with a time-decayed metric. They also show how the defender can use deception as...
Provided By Purdue Federal Credit Union
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Using Slack Reservation Strategy to Improve User QoS in Computational Grids
Advance reservation is an effective technique to realize end-to-end Quality of Service (QoS) guarantees for grid applications. However, excessive advance reservation will result in low resource utilization and high rejection rate on receiving new requests, which in turn reduces user's QoS satisfaction. In this paper, a slack reservation strategy is...
Provided By Science and Development Network (SciDev.Net)
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Load Sharing for Optimistic Parallel Simulations on Multi?Core Machines
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into distinct Logical Processes (LPs), each one modeling a portion of the entire system, which are allowed to execute simulation events concurrently. This allows exploiting parallel computing architectures to speedup model execution, and to make very...
Provided By University of Rochester
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HybridMR: A Hierarchical MapReduce Scheduler for Hybrid Data Centers
Virtualized environments are attractive because they simplify cluster management, while facilitating cost-effective workload consolidation. As a result, virtual machines, either in public clouds or in private data centers, have become the norm for running many interactive applications such as web servers. On the other hand, batch workloads like MapReduce are...
Provided By Pennsylvania State Employees Credit Union
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Failure Recovery Using RSWF Algorithm for Advanced Reservation in Optical Grid
For utilizing distributed resources in optical grid environment advanced reservations play a very crucial role. For applications like the co-allocation of distributed resources and deadline driven applications advance reservations are essential. Also for enhancing capabilities of resource brokers advance reservations play a major role. In this paper, failure recovery has...
Provided By Academy & Industry Research Collaboration Center
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Grouping Based User Demand Aware Job Scheduling Approach for Computational Grid
Grid Computing is a high performance computing that solves complicated tasks and provides powerful computing abilities. Scheduler is very much responsible for effective utilization of resources and less processing time. Most of the scheduling algorithms failed to consider user satisfaction and resource utilization. This paper introduces a new grouping based...
Provided By International Journal of Engineering Science and Technology (IJEST)
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Integrating Mobile Devices by Using Efficient Resource Scheduling in Grid Computing
Grid computing is defined as "Flexible, Secure, Coordinated resource sharing among dynamic collections of individuals, institutions, and resources". However, supporting mobile interfaces in the Grid context provides new challenges and opportunities. In the road of making mobile devices as an entity in grid computing technology, and to bridge the gap...
Provided By EuroJournals
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Survey on Task Assignment Techniques in Hadoop
MapReduce is an implementation for processing large scale data parallelly. Actual benefits of MapReduce occur when this framework is implemented in large scale, shared nothing cluster. MapReduce framework abstracts the complexity of running distributed data processing across multiple nodes in cluster. Hadoop is open source implementation of MapReduce framework, which...
Provided By International Journal of Computer Applications
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Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu
Now-a-days Cluster computing has become a crying need for the processing of large scale data. For computing large amount of data, which need huge execution time, the run time can be reduced using multiple processors and task distribution through cluster computing. It is the technique of sharing two or more...
Provided By International Journal of Computer Applications
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London Borough Council Saves Millions With Virtual Desktops
Olympic Park, the borough had the world's attention during the London 2012 Olympic and Paralympic Games. Their challenges are to improve worker flexibility to cope with London 2012 Olympic and Paralympic Games and deliver planned real estate rationalization and optimize disaster recovery planning. They chose Cisco to overcome these challenges....
Provided By Cisco
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Distributed Management of Energy-Efficient Lightpaths for Computational Grids
Information and Communication Technologies (ICTs) are contributing to a large amount of the global electricity consumption. Due to tremendous increase in the bandwidth demands and utilisation of non-renewable energy resources Greenhouse Gas Emissions are increasing proportionally with the increasing demand. Despite their advantages in terms of computing performance, distributed applications...
Provided By University of Otago
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Adaptive Electricity Scheduling With Quality of Usage Guarantees in Microgrids
MicroGrid (MG) is a key component for future Smart Grid (SG) deployment with high potentials. Balancing the supply and demand of energy is one of the most important goals of MG management. In this paper, the authors explore effective schemes for Quality-of-Usage (QoU) guarantees for local residents in an MG,...
Provided By Auburn University
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Adaptive Provisioning for Evolving Virtual Network Request in Cloud-based Datacenters
Cloud based datacenters provide on demand services and resources, both transparently and cost effectively. These services and applications are typically hosted and run on the servers located in interconnected datacenters. The task or application request from users can be called as a Virtual Network (VN) request. How to efficiently accommodate...
Provided By Institute of Electrical and Electronics Engineers
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Resource Contention-Aware Virtual Machine Management for Enterprise Applications
Consolidating Virtual Machines (VMs) in data centers is desirable as it reduces hardware and power costs. However the performances of VMs on shared physical servers are not isolated from each other as they contend for the same server resources. This contention degrades the performance of delay sensitive applications and can...
Provided By Institute of Electrical and Electronics Engineers
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Topology Control with a Limited Number of Relays
Network longevity and connectivity are key design goals in any wireless sensor network deployment. In this paper, the authors consider the placement of relay nodes and individual transmission power assignments. Specifically, given a planar deployment of sensors and a base station, they seek the placement of a limited number of...
Provided By Institute of Electrical & Electronic Engineers
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Machine Learning Approach to Data Center Monitoring using Wireless Sensor Networks
Data Centers face considerable challenges in seamless integration of telemetry and control functions. These functions are essential to management tasks related to power capping, cooling, reliability, predictability, survivability, and adaptability control. It is therefore essential to create an infrastructure of sensors that monitors the physical properties of the dynamically changing...
Provided By Institute of Electrical & Electronic Engineers
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Using Segmentation for Confidentiality Aware Image Storage and Retrieval on Clouds
Cloud computing is ideally suited for hosting applications with large images because clouds can perform high performance computations and communications at very low upfront cost. While the benefits of clouds are compelling for image processing applications, security and privacy issues in using clouds are creating major problems. Because clouds are...
Provided By Institute of Electrical & Electronic Engineers
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EDR: An Efficient Demand Response Scheme for Achieving Forward Secrecy in Smart Grid
Compared with traditional power grid, smart grid has several distinguished features, i.e., distributed energy, large capacity, robust to load fluctuations, and close consumer-grid interactions. Demand response is vital for smart grid, which is expected to save energy, maintain supply-demand balance, and reduce consumers' electricity bills. Meanwhile, it is paramount important...
Provided By Institute of Electrical & Electronic Engineers
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Load Distribution Vector Based Attack Strategies against Power Grid Systems
Security issues in complex systems such as power grid, communication network, Internet, among others have attracted wide attention from academic, government and industry. In this paper, the authors investigate the vulnerabilities of power grid under a topology-based network model in the context of cascading failures caused by physical attacks against...
Provided By Institute of Electrical & Electronic Engineers
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Tackling Co-existence and Fairness Challenges in Autonomous Demand Side Management
Consider a smart grid system in which every user may or may not choose to participate in Demand Side Management (DSM). This will lead to a general co-existence problem between participant and non-participant users. To gain insights, first, the authors show that some existing electricity billing mechanisms suffer from severe...
Provided By Institute of Electrical & Electronic Engineers
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A Novel Demand Control Policy for Improving Quality of Power Usage in Smart Grid
Smart grid has emerged as a promising technology for enabling bi-directional communication between the power company and its users to facilitate intelligent, robust, and resilient next generation power grid systems. Through this technology, both the power company and its subscribers can be equally benefited, not only from economic point of...
Provided By Institute of Electrical & Electronic Engineers
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Network Architecture, Security Issues, and Hardware Implementation of a Home Area Network for Smart Grid
In this paper, the authors discusses aims, architecture, and security issues of Smart Grid, taking care of the lesson learned at University of Pisa in research projects on smart energy and grid. A key element of Smart Grid is the energy Home Area Network (HAN), for which an implementation is...
Provided By Hindawi Publishing
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Cisco Global Cloud Index
The Cisco® Global Cloud Index 2011-2016, is an ongoing effort to forecast the growth of global data center and cloud-based IP traffic. The forecast includes trends associated with data center virtualization and cloud computing.
This document presents the details of the study and the methodology behind it.Provided By Cisco
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Design of Power Efficient Schema for Energy Optimization in Data Center With Massive Task Execution Using DVFS
The proposed system highlights a novel energy efficient technique by considering an entire datacenter using DVFS (Dynamic Voltage and Frequency Scaling). Unwanted power consumption was always a matter of concern from last 2 years for the administrators of datacenters. Therefore, a research trial in order to minimize the power consumption...
Provided By International Journal of Computer Science Issues
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A Methodology For Aiding Investment Decision Between Assets In Stock Markets Using Artificial Neural Network
This paper outlines a methodology for aiding the decision making process for investment between two financial market assets (e.g. a risky asset versus a risk-free asset), using neural network architecture. A Feed Forward Neural Network (FFNN) and a Radial Basis Function (RBF) Network have been evaluated. The model is employed...
Provided By International Journal of Computer Science Issues
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Design of a High Performance Reversible Multiplier
Reversible logic circuits are increasingly used in power minimization having applications such as low power CMOS design, optical information processing, DNA computing, bioinformatics, quantum computing and nanotechnology. The problem of minimizing the number of garbage outputs is an important issue in reversible logic design. In this paper, the authors propose...
Provided By International Journal of Computer Science Issues
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Multi FPGA Based Novel Reconfigurable Hybrid Architecture for High Performance Computing
The growth of the verticals depending on the reconfigurable computing has been very fast. Satellite systems, land rovers, rocket launchers and other heavy duty high performance systems are making use of reconfigurable processors. However, still these processors are not able to provide for the strict hard real time deadlines required....
Provided By International Journal of Computer Science Issues
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Urban Data Collector Protocol: Performance Evaluation With Different Suppression Techniques
This research was aimed at using Vehicular Adhoc NETworks (VANET) as infra-structure for an urban cyber-physical system in order to gather valuable data in a city. This paper is proposed an Urban Data Collector (UDC) protocol in urban area where all nodes are data sources and there is a gateway...
Provided By International Journal of Computer Science Issues
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Load Balancing Using High Performance Computing Cluster Programming
High-performance computing has created a new approach to science. Modeling is now a viable and respected alternative to the more traditional experiential and theoretical approaches. High performance is a key issue in data mining or in image rendering. Traditional high performance clusters have proved their worth in a variety of...
Provided By Rajasthan Technical University
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Service Priority based Reliable Routing Path Select Method in Smart Grid Communication Network
The new challenges and schemes for the Smart Grid require high reliable transmission technologies to support various types of electrical services and applications. This paper concentrates the degree of importance of services and tries to allocate more important service to more reliable network routing path to deliver the key instructions...
Provided By International Journal of Computer Science Issues
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Modeling Smart Grid Using Generalized Stochastic Petri Net
Building smart grid for power system is a major challenge for safe, automated and energy efficient usage of electricity. The full implementation of the smart grid will evolve over time. However, before a new set of infrastructures are invested to build the smart grid, proper modeling and analysis is needed...
Provided By University of Calcutta
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Simulation for Enhancing the Response and Processing Time of Datacenter
Cloud computing is holding attention of all big organizations who want to utilize their resources like servers, when these are free from their usual activities. This technology sort out said above more economically and more flexibly using the powerful infrastructure services provided by a Cloud service provider on an as-required...
Provided By Maharishi Markandeshwar University
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A Study on Applications of Grid Computing in Bioinformatics
Huge volume of biological data, which is heterogeneous, autonomous and dynamic in nature, is being produced at a rapid pace throughout the community. Along with the increase in biological data, many tools are being designed to analyze them by different research groups. Integration of these biological data and tools is...
Provided By KANNUR UNIVERSITY
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Distributed Computing Approaches for Scalability and High Performance
Distributed computing is a science which solves a large problem by giving small parts of the problem to many computers to solve and then combining the solutions for the parts into a solution for the problem. This distributed computing framework suits to projects, which have an insatiable appetite for computing...
Provided By KANNUR UNIVERSITY
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Efficient Virtualization of High-Performance Network Interfaces
The architecture of modern computing systems is getting more and more parallel, in order to exploit more of the offered parallelism by applications and to increase the system's overall performance. This includes multiple cores per processor module, multi-threading techniques and the resurgence of interest in virtual machines. In spite of...
Provided By Heidelberg University
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VELO: A Novel Communication Engine for Ultra-Low Latency Message Transfers
This paper presents a novel stateless, virtualized communication engine for sub-microsecond latency. Using a Field-Programmable-Gate-Array (FPGA) based prototype the authors show a latency of 970 ns between two machines with their Virtualized Engine for Low Overhead (VELO). The FPGA device is directly connected to the CPUs by a HyperTransport link....
Provided By Heidelberg University
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Highly Scalable Barriers for Future High-Performance Computing Clusters
In this paper, the authors show the suitability of their approach by analyzing the performance of barriers, a very common synchronization primitive in parallel programs. Experiments in a real cluster prototype show that their approach allows synchronization among 1024 cores spread over 64 nodes in less than 15us, several times...
Provided By Heidelberg University
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A New End-to-End Flow-Control Mechanism for High Performance Computing Clusters
High Performance Computing usually leverages messaging libraries such as MPI or GASNet in order to exchange data among processes in large-scale clusters. In this paper the authors present a new flow control mechanism that is able to adapt the buffering resources used by a process according to the parallel application...
Provided By Heidelberg University
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Unleash Your Memory-Constrained Applications: A 32-Node Non-Coherent Distributed-Memory Prototype Cluster
Improvements in hardware for parallel shared memory computing usually involve increments in the number of computing cores and in the amount of memory available for a given application. However, many shared-memory applications do not require more computing cores than available in current motherboards because their scalability is bounded to a...
Provided By Heidelberg University
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MEMSCALETM: A Scalable Environment for Databases
In this paper the authors propose a new memory architecture for clusters referred to as MEMSCALE. This architecture provides a distributed non-coherent shared-memory view of the memory resources present in the cluster. With this aggregation technique, a given processor can directly access any memory address located at other nodes in...
Provided By Heidelberg University
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A HT3 Platform for Rapid Prototyping and High Performance Reconfigurable Computing
In this paper the authors present an HT3 interface for Stratix IV based FPGAs, which allows for minimal latencies and high bandwidths between processor and device and main memory and device. Designs targeting a HT connection can now be prototyped in real world systems. Furthermore, this design can be leveraged...
Provided By Heidelberg University
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Getting Rid of Coherency Overhead for Memory-Hungry Applications
In this paper the authors present a 16-node prototype for a shared-memory cluster architecture that follows a different approach by decoupling the amount of memory available to an application from the processing resources assigned to it. In this way, they provide a new degree of freedom so that the memory...
Provided By Heidelberg University
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Efficient Hardware Support for the Partitioned Global Address Space
The authors present a novel architecture of a communication engine for non-coherent distributed shared memory systems. The shared memory is composed by a set of nodes exporting their memory. Remote memory access is possible by forwarding local load or store transactions to remote nodes. No software layers are involved in...
Provided By Heidelberg University
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A Case for FPGA Based Accelerated Communication
The use of Field Programmable Gate Arrays (FPGAs) in the area of High Performance Computing (HPC) to accelerate computations is well known. The authors present here a case where FPGAs can be used to speed up communication instead of computation. Current interconnects for HPC are in particular missing support for...
Provided By Heidelberg University
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An FPGA-Based Custom High Performance Interconnection Network
An FPGA-based prototype of a custom high-performance network hardware has been implemented, integrating both a switch and a network interface in one FPGA. The network interfaces to the host processor over Hyper Transport. About 85% of the slices of a Virtex IV FX100 FPGA are occupied and 10 individual clock...
Provided By Heidelberg University
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An FPGA Based Verification Platform for HyperTransport 3.x
In this paper the authors present a verification platform designed for Hyper Transport 3.x (HT3) applications. It is intended to be used in computing environments in which it is directly connected over a Hyper Transport link to the main CPUs. No protocol conversions or intermediate bridges are necessary, which results...
Provided By Heidelberg University
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Financial Analysts Impact Of Stock Volatility. A Study On The Pharmaceutical Sector
The arrival of new information helps financial markets to value assets, but it may has the side-effect of increasing their volatilities. A better knowledge of the mechanism that links relevant news and stock prices would help both private and institutional agents to improve the calibration of the risks implies in...
Provided By Fundación de Estudios de Economía Aplicada
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I.T. Investment And Intangibles: Evidence From Banks
This paper models the investment behaviour of a multi-asset firm with market power that accumulates valuable intangible assets to complement the IT capital. The investment model is estimated using data from Spanish banks on assets of different nature: material (branches, financial), immaterial (advertising and IT) and intangible (training of workers)....
Provided By Banco de España
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Scheduling Parallel Tasks with Intra-Communication Overhead in a Grid Computing Environment
With the improvements in wide-area network performance and powerful computers, it is possible to integrate a large number of distributed machines belonging to different organizations as a single system, for example, a grid computing environment. A grid computing environment involves cooperation and sharing resources among distributed machines. In this paper,...
Provided By ISSN
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The Distributed Computing Paradigms: P2P, Grid, Cluster, Cloud, and Jungle
The distributed computing is done on many systems to solve a large scale problem. The growing of high-speed broadband networks in developed and developing countries, the continual increase in computing power, and the rapid growth of the Internet have changed the way. In it the society manages information and information...
Provided By ISSN
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Guide to Selecting a Data Center Monitoring System
While the process of selection of a monitoring system is necessarily unique to every enterprise, this paper provides some guidance as to issues to consider when making that decision. Selecting the best monitoring system for an enterprise boils down to single selection criteria: pick the monitoring system that adds the...
Provided By LogicMonitor
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Performance Studies for Multithreading in Matlab With Usage Instructions on HPC
This report explores the use of multiple computational cores by multithreading in the software package Matlab on a compute node with two dual-core AMD Opteron processors. After testing the built-in functions of Matlab for a small test problem, the authors consider a classical test problem resulting from a finite difference...
Provided By University of Mary Washington
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An Implementation of Binomial Method of Option Pricing using Parallel Computing
The Binomial method of option pricing is based on iterating over discounted option payoffs in a recursive fashion to calculate the present value of an option. Implementing the Binomial method to exploit the resources of a parallel computing cluster is non-trivial as the method is not easily parallelizable. The authors...
Provided By University of Mary Washington
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A Cheat-Proof Game Theoretic Demand Response Scheme for Smart Grids
While demand response has achieved promising results on making the power grid more efficient and reliable, the additional dynamics and flexibility brought by demand response also increase the uncertainty and complexity of the centralized load forecast. In this paper, the authors propose a game theoretic demand response scheme that can...
Provided By University of Mary Washington
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Failure Data-Driven Selective Node-Level Duplication to Improve MTTF in High Performance Computing Systems
This paper presents the authors' analysis of the failure behavior of large scale systems using the failure logs collected by Los Alamos National Laboratory on 22 of their computing clusters. They note that not all nodes show similar failure behavior in the systems. Their objective, therefore, was to arrive at...
Provided By Springer Healthcare
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Avoiding Common Pitfalls of Evaluating and Implementing DCIM Solutions
While many who invest in Data Center Infrastructure Management (DCIM) software benefit greatly, some do not. Research has revealed a number of pitfalls that end users should avoid when evaluating and implementing DCIM solutions. Choosing an inappropriate solution, relying on inadequate processes, and a lack of commitment / ownership /...
Provided By APC
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How Data Centre Infrastructure Management Software Improves Planning and Cuts Operational Costs
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This paper demonstrates, through a series of examples, how...
Provided By APC
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Data Center Efficiency Calculator
The purpose of this tool is to show how various design decisions and operating conditions affect the efficiency and electrical costs of a typical generic data center. As the user inputs details regarding the power and cooling configuration, results are calculated based upon a tested and validated three parameter model.
Provided By APC
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Private School Installs D-Link Switches and Access Points, Passing on Complex, Costly Competitive Equipment
The Weber School needed an integrated, centrally managed network to support growing wireless and fixed switching demands. Their previous network consisted of various 10 and 100 Megabit switches, and a variety of consumer-grade wireless access points. The school wanted a high performance solution with robust security, centralized RADIUS authentication (which...
Provided By D-Link
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High School Networking Class Builds Virtual Computing Grid From Old Computers With D-Link DES-3526 Switch
The Abington Senior High School networking course found some unique networking challenges within their Cisco network that could be solved with a new switch and a grid computing configuration. For the purposes here, "Grid computing," describes a cluster of computers connected via Ethernet, which share resources to perform large tasks....
Provided By D-Link
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Incomplete Contracts, Irreversible Investments And Entry Deterrence
When renegotiation under incomplete contracts follows the outside option principle, hold-up may occur as the ex-post degree of competition increases on investor's side. However, under this framework, asset specificity may play the counterintuitive role of an entry deterrence device, thus decreasing the probability of hold-up. The authors' result contrasts with...
Provided By University of Siena
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Server Virtualization and Network Management
Server virtualization is the latest major technology trend in the data center. Gartner predicts that virtualization will be the highest-impact trend in IT infrastructure and operations through 2012. Despite its limits, where server virtualization has been applied rigorously, it has both enormous and positive impacts on corporate power and cooling...
Provided By Paessler