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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A New Scalable Parallel DBSCAN Algorithm Using the Disjoint-Set Data Structure
DBSCAN is a well-known density based clustering algorithm capable of discovering arbitrary shaped clusters and eliminating noise data. However, parallelization of DBSCAN is challenging as it exhibits an inherent sequential data access order. Moreover, existing parallel implementations adopt a master-slave strategy which can easily cause an unbalanced workload and hence...
Provided By Institute of Electrical & Electronic Engineers
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Dynamic Deferral of Workload for Capacity Provisioning in Data Centers
Recent increase in energy prices has led researchers to find better ways for capacity provisioning in data centers to reduce energy wastage due to the variation in workload. This paper explores the opportunity for cost saving utilizing the flexibility from the Service Level Agreements (SLAs) and proposes a novel approach...
Provided By Shandong Institute of Business And Technology
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Data Insertion & Archiving in Erasure-Coding Based Large-Scale Storage Systems
Given the vast volume of data that needs to be stored reliably, many data-centers and large-scale file systems have started using erasure codes to achieve reliable storage while keeping the storage overhead low. This has invigorated the research on erasure codes tailor made to achieve different desirable storage system properties...
Provided By Nanyang Technological University
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Digital Media Leader Revolutionizes Network Performance to Meet Rapid Growth
From streaming media to online distribution and supporting 3D video, the market for digital multimedia is growing fast, and DG is an industry leader. Their challenges are to accelerate network speed to provide advanced digital services for customers, Scale network capacity to handle network growth and reconcile disparate networks by...
Provided By Cisco
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A Survey of Data Mining Techniques for Smart Grid Systems
Electricity generated through steam and hydro - turbines have been serving one since ages. It has reached its limits. Outages, blackouts are becoming inevitable. So, there is a need to develop a system that is able to identify the links right from the source of electricity generation to the consumers...
Provided By International Journal of Electronics Communication and Computer Engineering
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Cloud Computing with Related Enabling Technologies
Cloud Computing is a concept that has been defined differently by many and there seem not to be a consensus. Despite these views, cloud computing is not a complete new idea as it has intricate connections to technologies or domain such as the Grid Computing paradigm, and the general distributed...
Provided By Institute of Advanced Engineering and Science (IAES)
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Lessons Learned When Building a Greenfield High Performance Computing Ecosystem
Faced with a fragmented research computing environment and growing needs for high performance computing resources, Michigan State University established the High Performance Computing Center in 2005 to serve as a central high performance computing resource for MSU's research community. Like greenfield industrial development, the center was unconstrained by existing infrastructure....
Provided By Michigan State University
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Discovering Structure in Unstructured I/O
Checkpointing is the predominant storage driver in today's petascale supercomputers and is expected to remain as such in tomorrow's exascale supercomputers. Users typically prefer to checkpoint into a shared file yet parallel file systems often perform poorly for shared file writing. A powerful technique to address this problem is to...
Provided By ETH Zurich
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Mapping Tightly-Coupled Applications on Volatile Resources
Platforms that comprise volatile processors, such as desktop grids, have been traditionally used for executing independent-task applications. In this paper the authors study the scheduling of tightly-coupled iterative master-worker applications onto volatile processors. The main challenge is that workers must be simultaneously available for the application to make progress. They...
Provided By University of Hawai'i
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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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A Survey on Resources Discovery Approaches in Distributed Computational Grids
Grid computing enables systems to share geographically distributed resources as they pursue common goals. In a large-scale Grid systems discovery of heterogeneous resources is crucial to achieving scalable performance. The Grid resources need to be discovered, selected and invoked quickly and efficiently in order to satisfy the needs of a...
Provided By Karunya University
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From Silos to the Cloud: A Case Study in Global Efficiency
Interested in consolidating and aligning your global data centers? Read this case study about a global IT Services Consultancy who went through that very process with the help of NTT Communications, using an innovative and cost-effective cloud solution.
This worldwide consulting firm provides design, deployment and ongoing management of...Provided By NTT Communications
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Advanced I/O Virtualization Architecture for Consolidating High-Performance Workloads
One of the key enhancements in the current generation of Oracle Exalogic systems-and the focus of this whitepaper-is Oracle's incorporation of virtualized InfiniBand I/O interconnects using Single Root I/O Virtualization (SR-IOV) technology to permit the system to share the internal InfiniBand network and storage fabric between as many as 63...
Provided By Oracle
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Data Interpretation and Transmission Techniques for High Performance Computing Machines
Now a day's efficient and fast interpretation and transmission techniques are becoming more and more vital for the machine designers to take optimum result from limited resources. The quality for interpretation of the instructions and transmissions are becoming the back bone for the success of any modern computing machines. The...
Provided By International Journal of Computer Applications
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Different Node Deployments in a Square Area Grid of Wireless Sensor Network and Optimal Number of Relays
Wireless sensor networks deployment is an important issue to be considered when trying to cover an area with sensors, the authors' work focuses on the deployment of a grid network for larger number of sensor nodes from 36 nodes up to 100 nodes. They study different cases of distances between...
Provided By AIRCC
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A Review: Scheduling in Grid Environment
Grid computing came into being and is currently an active research area. One motivation of Grid computing is to aggregate the power of widely distributed resources, and provide non-trivial services to users. To achieve this goal, an efficient Grid scheduling system is an essential part of the Grid. Rather than...
Provided By International Journal of Engineering and Innovative Technology (IJEIT)
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Hybrid Trust Management Using Grid Scheduling
A grid system is a dynamic and distributed environment which contains numerous entities and resources, and is involved in large-scale processing and resource sharing. One of the critical issues is to assure a high level of security among all interacting clusters and their nodes in such a dynamic environment. The...
Provided By EuroJournals
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ACO Implementation Using GNLT for Resource Allocation in Grids
Computational grids are probably among the most heterogeneous computing systems. However, they are very attractive for their potential computational power. Their heterogeneity is especially perceptible during the deployment of grid applications. This paper presents a description model of (grid) networks which provides a synthetic view of the network besides multiple...
Provided By EuroJournals
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High Performance Speed Sensorless Control of Three-Phase Induction Motor Based on Cloud Computing
Induction motor is a cast of alternating current motor where charge endures allotted to the rotor close-at-hand deputation of conductive charge. These motors are broadly applied in industrial claim due to they are arduous along with adhere no contacts. The speed controller of deltoid phase induction motor is applied to...
Provided By The Schwa
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Memory Placement in Network Compression: Line and Grid Topologies
Enabling intermediate nodes in networks with the capability of storing the past communication can offer several benefits. Recently, the authors have shown that by utilizing memory at intermediate nodes, one can compress the data stream sent from the source node with superior performance compared to the conventional end-to-end compression of...
Provided By IEICE
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A Two Phased Service Oriented Broker for Replica Selection in Data Grids
Replica selection is one of the fundamental problems in Data Grid's environment. This paper's concern is designing a Two phased Service Oriented Broker (2SOB) for replica selection. It is focused on investigating, selecting, modifying, and experimenting with some non-conventional approaches to be applied on the relevant selection techniques. The motivation...
Provided By Reed Business Information
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Scaling Out Data Centers with Brocade VCS Fabric Technology and Brocade VDX Switches
Organizations require maximum flexibility as they move to deploy new virtualized applications and the network infrastructure that supports them. Brocade VDX switches allow VCS fabric deployments to start small and grow as needs dictate, scaling up with additional switches, or adjusting either up or down with innovative PoD licensing. With...
Provided By Brocade
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Gartner Research Video: Primary Market Trends that Impact Data Centre Security Today
Today's data centres feel the increasing weight of virtualisation and cloud computing. But many of the available virtualisation security solutions are not designed for today's dynamic IT environment. These solutions offer a single function, are often only agent-based, and have no integration for public/hybrid cloud management. As a result, these...
Provided By Trend Micro Australia
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Global Cloud Index Video
The Cisco® Global Cloud Index 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. Watch now.
Provided By Cisco
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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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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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Cisco Unified Data Center: The Foundation for Private Cloud Infrastructure
Break free of data center constraints. Provide IT service and cloud computing that is more agile and efficient. Learn why Cisco unified architecture and cost efficient design uniquely positions you to deliver the advantages of a private cloud.
Provided By Cisco
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Profiling of OpenMP Tasks With Score-P
With the task construct, the Open-MP 3.0 specification introduces an additional level of parallelism that challenges established schemes of performance profiling. First, a thread may execute a sequence of interleaved task fragments the profiling system must properly distinguish to enable correct performance analyses. Finally, as a new programming paradigm, tasking...
Provided By Aachen University
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Cake: Enabling High-level SLOs on Shared Storage Systems
Datacenter applications can be grouped into two broad classes: user-facing, latency-sensitive front-end applications, and internal, throughput-oriented batch analytics frameworks. These applications access distributed storage systems like HBase, Cassandra, and HDFS. Storage systems are typically not shared between these classes of applications because of an inability to multiplex latency-sensitive and throughput-oriented...
Provided By Association for Computing Machinery
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Improving Datacenter Operations Management Using Wireless Sensor Networks
Increasingly larger datacenters constructed to serve Internet-scale enterprise and Cloud computing workloads are creating significant challenges for the management systems designed to operate them. In this paper, the authors present the design and implementation of a management system that uses server-attached wireless sensors to create an auto-configuring wireless-only monitoring network...
Provided By ICS
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Decentralized Erasure Coding for Efficient Data Archival in Distributed Storage Systems
Distributed storage systems usually achieve fault tolerance by replicating data across different nodes. However, redundancy schemes based on erasure codes can provide a storage-efficient alternative to replication. This is particularly suited for data archival since archived data is rarely accessed. Typically, the migration to erasure-encoded storage does not leverage on...
Provided By Nanyang Technological University
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eco-IDC: Trade Delay for Energy Cost With Service Delay Guarantee for Internet Data Centers
Cloud computing services are becoming integral part of people's daily life. These services are supported by Internet Data Centers (IDCs). As demand for cloud computing services soars, energy consumed by IDCs is skyrocketing. This paper studies an energy management problem - how to minimize energy cost for IDCs in deregulated...
Provided By Institute of Electrical & Electronic Engineers
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Agent Based Task Scheduling in Grid
Autonomous agents are intelligent entities that can operate on behalf of the human users autonomously to solve the problems, negotiate with other agents (peers), learn from the past and predict upcoming events. Grid computing is considered to be wide area distributed computing which provides sharing, selection and aggregation of distributed...
Provided By International Journal of Computer Applications Technology and Research
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Task Scheduling Heuristic in Grid Computing
Task scheduling is heart of any grid application which guides resource allocation in grid. Heuristic task scheduling strategies have been used for optimal task scheduling. Heuristic techniques have been widely used by the researchers to solve resource allocation problem in grid computing. In this paper, the authors classify heuristic task...
Provided By International Journal of Computer Applications Technology and Research
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Grid Computing: The Next Decade
The evolution of the global scientific Cyber Infrastructure (CI) has, over the last 10+ years, led to a large diversity of CI instances. While specialized, competing and alternative CI building blocks are inherent to a healthy ecosystem, it also becomes apparent that the increasing degree of fragmentation is hindering interoperation,...
Provided By University of Northern Iowa
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Service Provider Standardizes Data Center to Deliver Custom Cloud Services
Peak 10 has evolved from a more limited provider of IT services into a comprehensive provider of cloud-based, fully managed IT. Their challenges were to unify cloud delivery of subscription-based, customized, fully managed, enterprise applications, need to create scalable, flexible, multitenant environment to meet growing demand for cloud services and...
Provided By Cisco
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Scalable Solutions of Markov Games for Smart-Grid Infrastructure Protection
In this paper, the authors show that when the players' current interest is a subset of the states only and they are willing to accept small inaccuracies in the game solutions; many Markov game states can be pruned. They present a pruning algorithm in which a threshold parameter is used...
Provided By Purdue Federal Credit Union
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Comfort-Aware Home Energy Management Under Market-Based Demand-Response
To regulate energy consumption and enable Demand-Response programs, effective demand-side management at home is key and an integral part of the future Smart Grid. In essence, the home energy management is a mix between discrete appliance scheduling problem with deadlines and continuous Heating, Ventilation and Cooling (HVC) device control problem....
Provided By IFIP
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DAHM: A Green and Dynamic Web Application Hosting Manager Across Geographically Distributed Data Centers
Dynamic Application Hosting Management (DAHM) is proposed for geographically distributed data centers, which decides on the number of active servers and on the workload share of each data center. DAHM achieves cost-efficient application hosting by taking into account: the spatio-temporal variation of energy cost, the data center computing and cooling...
Provided By Association for Computing Machinery
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Grid Based Wireless Mobile Sensor Network Deployment with Obstacle Adaptability
Mobile Sensors find their target position and placed themselves over the target field to achieve a certain goal in self deployment with certain additional functionality like sensor relocation. An efficient deployment scheme guaranteed maximum coverage with full connectivity. Certain variance of coverage could be manageable but loss of connectivity because...
Provided By AIRCC
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Exploring the Potential of CMP Core Count Management on Data Center Energy Savings
A data center's power and energy consumption is a crucial design issue, and is often a fundamental determiner of its performance potential. Conventional power/energy management approaches data centers have focused on uniprocessor rather than multiprocessor servers and on techniques such as Dynamic Voltage and Frequency Scaling (DVFS). Given the increasing...
Provided By Princeton Software
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Grid Computing for a Telecommunications Data Center
With the growth in business needs, one of the world's largest telecommunications company adopted a cost-efficient solution in order to launch a compact infrastructure footpoint for its data center. The organization made use of InfiniBand grid computing proof of concept (PoC) to install Database-as-a-Service for mission critical Oracle installations in...
Provided By LSI
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Enlightened data center automation in the cloud age
How to achieve transformative efficiency gains - without disrupting IT
Forward-looking companies are realizing that automation is an absolute prerequisite for migration to the cloud-and the key to a smooth, non-disruptive transition to hybrid service delivery. They are also learning that the move to the cloud is a process,...Provided By HP
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Managing performance in dynamic IT environments
The rise of virtualized, cloud, and software-defined data centers requires new approaches to performance management.
These next-generation data centers virtualize IT resources to enable the pooling and sharing of infrastructure components, to increase IT agility, and to improve the economics of data center operations. This forward-looking approach to the...Provided By HP
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Energy Aware Network Operations
Networking devices today consume a non-trivial amount of energy and it has been shown that this energy consumption is largely independent of the load through the devices. With a strong need to curtail the rising operational costs of IT infrastructure, there is a tremendous opportunity for introducing energy awareness in...
Provided By HP
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Virtuozzo from Parallels: Greener Virtualization
Managers at all levels are becoming aware of the substantial amount of energy required to power and cool a datacenter. Server virtualization is one way datacenter managers can reduce the amount of energy consumed--by eliminating underutilized servers.
Parallels Virtuozzo is the only solution that delivers maximum energy efficiency through...Provided By Parallels
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Everest: Scaling Down Peak Loads Through I/O Off-Loading
Bursts in data center workloads are a real problem for storage subsystems. Data volumes can experience peak I/O request rates that are over an order of magnitude higher than average load. This requires significant over provisioning, and often still results in significant I/O request latency during peaks. In order to...
Provided By Microsoft Research
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Checkpoint Storage System for Large Supercomputers
The PSC has developed a prototype distributed file system infrastructure that vastly accelerates aggregated write bandwidth on large compute platforms. Write bandwidth, more than read bandwidth, is the dominant bottleneck in HPC I/O scenarios due to writing checkpoint data, visualization data and post-processing (multi-stage) data. The authors have prototyped a...
Provided By Pittsburgh Steelers
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Applying Virtualization and System Management in a Cluster to Implement an Automated Emulation Testbed for Grid Applications
Although grid systems have evolved in such a way that they are largely used both in industry and academy, techniques to test and evaluate them, such as simulation and emulation, have limitations on both their applicability and their reliability. The authors are investigating the utilization of paravirtualization techniques merged with...
Provided By HP
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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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An Enhanced Quickest Response Algorithm for Grid Service Discovery
A computational grid is an emerging computing infrastructure that enables effective access to high performance computing resources. Service discovery is one of the most important research issues of grid computing. However, traditional service discovery algorithms are not suitable for grid environment due to the facts of inherited decentralization and loose...
Provided By Chinese Academy of Sciences
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Buy or Lease Your Own Data Center?: Think About It
Before a company buys the data center, however, it will want to consider some of the factors not often assessed versus the favorable events listed above. There is a big difference between running the IT infrastructure of an organization and being the facility manager. Once a company has decided to...
Provided By IBS
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A Framework for Reliable and Efficient Data Placement in Distributed Computing Systems
Data placement is an essential part of today's distributed applications since moving the data close to the application has many benefits. The increasing data requirements of both scientific and commercial applications and collaborative access to these data make it even more important. In the current approach, data placement is regarded...
Provided By University of Wisconsin-Madison
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DiskRouter: A Flexible Infrastructure for High Performance Large Scale Data Transfers
The steady increase in data sets of scientific applications, the trend towards collaborative research and the emergence of grid computing has created a need to move large quantities of data over wide-area networks. The dynamic nature of network makes it difficult to tune data transfer protocols to use the full...
Provided By University of Wisconsin-Madison
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Load Balancing of the Direct Linear Multisplitting Method in a Grid Computing Environment
Many scientific applications need to solve very large sparse linear systems in order to simulate phenomena close to reality. Grid computing is an answer to the growing demand of computational power but communication times are significant and the bandwidth is variable, therefore frequent synchronizations slow down performances. The use of...
Provided By Universite de Franche-Compte
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A Fault-Tolerant Network Architecture for Modular Datacenter
Modular DataCenters (MDCs) use shipping containers as large pluggable building blocks to construct mega-datacenter, and each container encapsulates thousands of servers. MDC's "Service-free" model poses stricter demand on fault-tolerance of Modular DataCenter Network (MDCN). Based on "Scale-out" principle, in this paper the authors propose a novel hierarchical intra-container network for...
Provided By Science and Development Network (SciDev.Net)
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Predicting Job Wait Time in Grid Environment by Applying Machine Learning Methods on Historical Information
To have high performance scheduling mechanisms in grid computing, the authors need accurate methods for estimating parameters like jobs' wait time and run time. In this paper, they consider wait time prediction problem. Different regression techniques are examined on AuverGrid data set to predict wait time. To improve the quality...
Provided By Science and Development Network (SciDev.Net)
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Scheduling Tasks on Most Suitable Fault Tolerant Resource for Execution in Computational Grid
Grid computing allows, controlled and coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations. Grids are categorized in to two, as Computational grid and Data grid. In computing grid, allocating resources to the tasks based on its requirements and task scheduling is an important issue. Generally, the task...
Provided By Science and Development Network (SciDev.Net)
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Augmenting Hierarchical Load Balancing with Intelligence in Grid Environment
Scheduling independent tasks to homogeneous resources is an ineluctable issue to be dealt with. Load balancing of resources is a crucial matter of concern. This paper comes out with an enhancement of hierarchical load balancing algorithm. In this paper, to evaluate cluster imbalance, probability of deviation of average system load...
Provided By Science and Development Network (SciDev.Net)
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Scheduling Jobs in Face of Status Update Timing of Resources in Computational Grids
Users and resources frequently join and leave computational grid, hence the state of the grid changes dynamically. So, an effective job scheduling strategy is needed that consider the dynamically changed conditions in the grid. Most of the existing scheduling strategies are mainly based on selecting resources that have less resource...
Provided By Science and Development Network (SciDev.Net)
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High Performance Grid Computing for Detecting Gene-Gene Interactions in Genome-Wide Association Studies
The huge amount of biological information implies a great challenge for data analysis, particularly for combinatorial methods such as Multifactor Dimensionality Reduction. This method can be computationally intensive, especially when more than ten polymorphisms need to be evaluated. The Grid is a promising architecture for genomics problems providing high computing...
Provided By Science and Development Network (SciDev.Net)
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Network and Data Location Aware Job Scheduling in Grid: Improvement to GridWay Metascheduler
Grid Computing has enabled one to utilize the unused computing power (CPU cycles) of computers connected to networks (e.g. Internet). Nowadays, there are lots of scientific projects going on in the domain of High Energy Physics (HEP) and Grid infrastructure constitutes the core computing facility of these projects. One such...
Provided By Science and Development Network (SciDev.Net)
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An Efficient Resource Discovery While Minimizing Maintenance Overhead in SDDS Based Hierarchical DHT Systems
Using Distributed Hash Tables (DHT) for a resource discovery in large-scale systems generates considerable maintenance overhead which affects the routing efficiency. In this paper, the authors propose a hierarchical DHT solution based on scalable distributed data structures (SDDS) for an efficient resource discovery in data Grids. Their solution deals with...
Provided By Science and Development Network (SciDev.Net)
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New Heuristic for Scheduling of Independent Tasks in Computational Grid
The Scheduling of tasks on heterogeneous grid resources is known to be a NP-complete problem; therefore, to get a near optimal solution within finite duration, heuristics/meta-heuristics are used for task scheduling instead of exact optimization methods. In this paper, the authors proposed a new heuristic method for scheduling of independent...
Provided By Science and Development Network (SciDev.Net)
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A Taxonomy of Grid Resource Selection Mechanisms
Resources in grid systems are heterogeneous, geographically distributed, belong to different administrative domains and apply different management policies. The roles of resource selection mechanisms are to identify, select and allocate the most suitable resources for a given set of tasks. This paper presents a taxonomy that facilitates identifying and classifying...
Provided By Science and Development Network (SciDev.Net)
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NGSched - An Efficient Scheduling Algorithm Handling Interactive Jobs in Grid Environment
A Computational grid is highly useful computing infrastructure that enables effective access of resources to perform high performance computing wherein job management, efficient resource utilization are key grid service issues. To make grid environment greatly useful, an optimized scheduling system is essential as computational grid is often heterogeneous with complex...
Provided By Science and Development Network (SciDev.Net)
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A Genetic Algorithm to Increase the Throughput of the Computational Grids
High Throughput Computing (HTC) is of great importance in grid computing environments. HTC is aimed at minimizing the total makespan of all of the tasks submitted to the grid environment in long execution of the system. To achieve HTC in grids, suitable task scheduling algorithms should be applied to dispatch...
Provided By Science and Development Network (SciDev.Net)
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Solving the Permutation Flow Shop Problem with Makespan Criterion Using Grids
The optimization of scheduling problems is based on different criteria to optimize. One of the most important criteria is the minimization of completion time of the last task on the last machine called makespan. In this paper, the authors present a parallel algorithm for solving the permutation flow shop problem....
Provided By Science and Development Network (SciDev.Net)
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Ant-Q Agent System Based Path Optimization Service for a Multi-Objective Mobile Robot and Real World
A multi-objective mobile robot path planning algorithm based on improved Ant-Q agent system algorithm is proposed. The most Driver has Navigation system. It is convenient if he use the Navigation system. But, Navigation systems are not able to determine optimized driving routes considering that each driver has specific driving habits...
Provided By Science and Development Network (SciDev.Net)
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An Improved Security and Trusting Model for Computational Grid
Grid Computing in today's world is a boon for high speed computing. Grids are composed from intersection of clusters, which provide huge volume of computing power. An environment with broadly distributed resources is liable to various types of security attacks. To solve this problem, the authors use P-LEASEL algorithm, which...
Provided By Science and Development Network (SciDev.Net)
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A Fault Tolerant, Dynamic and Low Latency BDII Architecture for Grids
The current BDII model relies on information gathering from agents that run on each core node of a Grid. This information is then published into a Grid wide information resource known as Top BDII. The Top level BDIIs are updated typically in cycles of a few minutes each. A new...
Provided By Science and Development Network (SciDev.Net)
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10 issues to consider when developing a cross-platform backup strategy
A number of extra factors can complicate the process of backing up multiple server platforms. Asking these critical questions will help ensure that your plan is viable.
This download is also available as an entry in our 10 Things blog.Provided By Brien Posey
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GEVP: Grid Enabled Visualization Pipeline
The current grid computing practices and techniques built on static resource management technique associate with several drawbacks. These drawbacks forced the current grid systems of taking the direction of remote viewing and zooming techniques of already processed images. There is an urgent need for algorithms and techniques to support automatic...
Provided By Universiti Teknologi Malaysia
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Research on Security Resource Management Architecture for Grid Computing System
In grid computing environment, large heterogeneous resources are shared with geographically distributed virtual organization memberships, each having their own resource management policies and different access and cost models. There have been many projects that have designed and implemented the resource management systems with a variety of architectures and services. Grid...
Provided By Wuhan University
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The Next Data Center Understanding and Preparing for Tomorrow's Technologies
What many in the IT industry thought would never come is now knocking on the data center door. Technologies like 40 and 100 Gigabit Ethernet, Fibre Channel over Ethernet, IP convergence and server virtualization are no longer just aspirations - they are real, and the time to prepare is now....
Provided By ADC Telecommunications
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The Three Principles of Data Center Infrastructure Design
This paper has been written with the aim of introducing three principles of data center infrastructure design to help organizations gain significant benefits and savings for their data center. The data canter of an organization is its most significant resource because it serves as an all-important means of storage, management...
Provided By ADC Telecommunications
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Next Generation Network Security for Data Center Protections
One significant trend that has emerged during the current business/economic cycle is that IT projects that reduce cost are winners. This savings trend is as strong as author had experienced in his twenty-five years within the IT industry. In particular, it's propelling data center consolidation, server virtualization and mobile computing...
Provided By Lippis Enterprises
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Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities
Cloud computing aims to power the next generation data centers and enables application service providers to lease data center capabilities for deploying applications depending on user QoS (Quality of Service) requirements. Cloud applications have different composition, configuration, and deployment requirements. Quantifying the performance of resource allocation policies and application scheduling...
Provided By University of Melbourne
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Playdoh: A Lightweight Python Library for Distributed Computing and Optimisation
Parallel computing is now an essential paradigm for high-performance scientific computing. Most existing hardware and software solutions are expensive or difficult to use. The authors developed Playdoh, a Python library for distributing computations across the free computing units available in a small network of multi-core computers. Playdoh supports independent and...
Provided By Reed Business Information
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The Four Trends Driving the Future of Data Center Infrastructure Design and Management
Data center have come to be the veins of an organization. Therefore, they are constantly being upgrade to improve efficiency with the changing needs of businesses and with the aim of bringing cost effectiveness. The next decade is seen as a crucial phase that will offer many opportunities for improving...
Provided By Emerson Electric