Grid Computing Research Papers - Academia.edu (original) (raw)

100 Computational Intelligence: The Grid as a Post-Human Network ... Friedrich Nietzsche, Human, All Too Human2 'Distributed' Paradigm During the past five years, most of my (post-) 'critical-political time' has been... more

100 Computational Intelligence: The Grid as a Post-Human Network ... Friedrich Nietzsche, Human, All Too Human2 'Distributed' Paradigm During the past five years, most of my (post-) 'critical-political time' has been spent dealing with a new idea of collective intelligence that ...

Cloud computing offers an innovative business model to enterprise for IT services consumption and delivery. Software as a Service (SaaS) is one of the cloud offerings that attract organisations as a potential solution in reducing their IT... more

Cloud computing offers an innovative business model to enterprise for IT services consumption and delivery. Software as a Service (SaaS) is one of the cloud offerings that attract organisations as a potential solution in reducing their IT cost. However, the vast diversity among the available cloud SaaS services makes it difficult for customers to decide whose vendor services to use or even to determine a valid basis for their selections. Moreover, this variety of cloud SaaS services has led to proprietary architectures and technologies being used by cloud vendors, increasing the risk of vendor lock-in for customers. Therefore, when enterprises interact with SaaS providers within the purview of the current cloud marketplace, they often encounter significant lock-in challenges to migrating and interconnecting cloud. Hence, the complexity and variety of cloud SaaS service offerings makes it imperative for businesses to use a clear and well understood decision process to procure, migrate and/or discontinue cloud services. To date, the expertise and technological solutions to simplify such transition and facilitate good decision making to avoid lock-in risks in the cloud are limited. Besides, little investigation has been carried out to provide a comprehensive decision framework to support enterprises on how to avoid lock-in risks when selecting and implementing cloud-based SaaS solutions within existing environments. Such decision framework is important to reduce complexity and variations in implementation patterns on the cloud provider side, while at the same time minimising potential switching cost for enterprises by resolving integration issues with existing IT infrastructures. This paper proposes a holistic 6-step decision framework that enables an enterprise to assess its current IT landscape for potential SaaS replacement, and provides effective strategies to mitigate vendor lock-in risks in cloud (SaaS) migration. The framework follows research findings and addresses the core requirements for choosing vendor-neutral interoperable and portable cloud services without the fear of vendor lock-in, and architectural decisions for secure SaaS migration. Therefore, the results of this research can help IT managers have a safe and effective migration to cloud computing SaaS environment.

Abstract. Combining Mobile Internet and Grid technologies could mean the ability to command the power of supercomputers with a mobile device. The computing and data transfer capacities of mobile devices are expanding and Grid-related... more

Abstract. Combining Mobile Internet and Grid technologies could mean the ability to command the power of supercomputers with a mobile device. The computing and data transfer capacities of mobile devices are expanding and Grid-related technologies are already being employed in them. In this paper, we survey the current technologies and standards, mainly concentrating on MIDP (Mobile Information Device Profile) devices and Java (J2ME) interfaces. The technology has a potential for many new interesting applications. This paper outlines a feasibility study, a technological review and examples of applications. 1

We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstrates, for the first time, how earthquake-related surface... more

We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstrates, for the first time, how earthquake-related surface deformation measured from satellite images using imageodesy algorithms is coupled with analysis and simulation using finite-element numerical models.

This paper presents the general purpose framework Peano for the solution of partial differential equations (PDE) on adaptive Cartesian grids. The strict structuredness and inherent multilevel property of these grids allows for very low... more

This paper presents the general purpose framework Peano for the solution of partial differential equations (PDE) on adaptive Cartesian grids. The strict structuredness and inherent multilevel property of these grids allows for very low memory requirements, efficient (in terms of hardware performance) implementations of parallel multigrid solvers on dynamically adaptive grids, and arbitrary spatial dimensions. This combination of advantages distinguishes Peano from other PDE frameworks. We describe shortly the underlying octree-like grid type and its most important properties. The main part of the paper shows the framework concept of Peano and the implementation of a Navier-Stokes solver as one of the main currently implemented application examples. Various results ranging from hardware and numerical performance to concrete application scenarios close the contribution.

Abstract-In today’s network world, the most advanced and recent technology is the Cloud computing. Clouds can be thought as the new generation of Grid Computing. Clouds generally consist of data centres that are owned by the same... more

Abstract-In today’s network world, the most advanced and recent technology is the Cloud computing. Clouds can be thought as the new generation of Grid Computing. Clouds generally consist of data centres that are owned by the same organization. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing. This paper not only defines cloud but provides the different components of clouds. It also provides the different services provided by Clouds and how Cloud’s cost definition differs from that of Grid computing. It further defines the Grid computing with its main characteristics. Main focus of this paper is to compare the cloud computing with the earlier generation technology like Grid computing by high lighting the main differences as well the similarities between them. At the end, this paper also focuses the advantages of using Cloud Computing and its future prospects.

Recent progress in genomics and experimental biology has brought exponential growth of the biological information available for computational analysis in public genomics databases. However, applying the potentially enormous scientific... more

Recent progress in genomics and experimental biology has brought exponential growth of the biological information available for computational analysis in public genomics databases. However, applying the potentially enormous scientific value of this information to the understanding of biological systems requires computing and data storage technology of an unprecedented scale. The grid, with its aggregated and distributed computational and storage infrastructure, offers an ideal platform for high-throughput bioinformatics analysis. ...

SUMMARY Grid-enabled portals are becoming increasingly popular as a platform for providing access to Grid services and resources. Unfortunately, much of the work done in portal development has led to vertically layered solutions that work... more

SUMMARY Grid-enabled portals are becoming increasingly popular as a platform for providing access to Grid services and resources. Unfortunately, much of the work done in portal development has led to vertically layered solutions that work for a particular project but are difficult to ...

With the increasing functionality and complexity of distributed systems, resource failures are inevitable. While numerous models and algorithms for dealing with failures exist, the lack of public trace data sets and tools has prevented... more

With the increasing functionality and complexity of distributed systems, resource failures are inevitable. While numerous models and algorithms for dealing with failures exist, the lack of public trace data sets and tools has prevented meaningful comparisons. To facilitate the design, validation, and comparison of fault-tolerant models and algorithms, we have created the Failure Trace Archive (FTA) as an online public repository of availability traces taken from diverse parallel and distributed systems. Our main contributions in this study are the following. First, we describe the design of the archive, in particular the rationale of the standard FTA format, and the design of a toolbox that facilitates automated analysis of trace data sets. Second, applying the toolbox, we present a uniform comparative analysis with statistics and models of failures in nine distributed systems. Third, we show how different interpretations of these data sets can result in different conclusions. This emphasizes the critical need for the public availability of trace data and methods for their analysis.

ShareGrid is a peer-to-peer desktop grid aimed at satisfying the computing needs of the small research laboratories located in the Piedmont area in Northern Italy. ShareGrid adopts a cooperative approach, in which each participant allows... more

ShareGrid is a peer-to-peer desktop grid aimed at satisfying the computing needs of the small research laboratories located in the Piedmont area in Northern Italy. ShareGrid adopts a cooperative approach, in which each participant allows the other ones to use his/her own resources on a reciprocity basis. ShareGrid is based on the OurGrid middleware, that provides a set of mechanisms enabling participating entities to quickly, fairly, and securely share their resources. In this paper we report our experience in designing, deploying, and using ShareGrid, and we describe the applications using it, as well as the lessons we learned, the problems that still remain open, and some possible solutions to them.

In this short paper we examine the integration of three emerging trends in Information Technology (Utility Computing, Grid Computing, and Web Services) into a new Computing paradigm (Grid-based Application Service Provision) that is... more

In this short paper we examine the integration of three emerging trends in Information Technology (Utility Computing, Grid Computing, and Web Services) into a new Computing paradigm (Grid-based Application Service Provision) that is taking place in the context of the European research project GRASP. In the first part of the paper, we explain how the integration of emerging trends can support enterprises in creating competitive advantage. In the second part, we summarise an architecture blueprint of Grid-based Application Service Provision (GRASP), which enables a new technology-driven business paradigm on top of such integration.

The present work deals with a renewable energy based microgrid (MG) with ANFIS controller for standalone operation. The places where renewable energy sources such as wind, solar, hydro etc. are in abundance, use them to generate... more

The present work deals with a renewable energy based microgrid (MG) with ANFIS controller for standalone operation. The places where renewable energy sources such as wind, solar, hydro etc. are in abundance, use them to generate electricity by developing wind-hydro based MG. The main control unit of MG is VSI (Voltage Source Inverter) in which an indirect current control is applied. This VSI is used for power quality improvements through harmonics suppression of nonlinear loads; voltage regulation during contingencies such as load unbalance; reactive power compensation at PCC (Point of Common Coupling) according to the system requirement. It is capable of providing power balance under various changes among the generation, storage and demand units. For appropriate functioning of VSI, a reweighted zero attractor least mean square (RZALMS) control algorithm is applied to generate PWM switching pulses for VSI. A model of MG with ANFIS controller is developed in MATLAB/ Simulink environment to simulate its performance in normal and dynamic conditions at linear and nonlinear loads. A renewable wind-hydro based microgrid has been developed. The performance of MG has been demonstrated using RZALMS control approach to provide power quality solutions i.e. harmonics suppression, reactive power compensation, load balancing and voltage control. It has also managed the power balance in the microgrid during various states such as high wind power generation, load unbalancing and peak load demand. Such MG provides energy independence in rural areas and contributes in reducing the fossil consumption and its bad impact on the environment. A single voltage source inverter has performed power quality improvement and power balancing. The PMBLDCG does not require speed sensor, position sensor and wind speed sensor for MPPT control. Individual inverters and converters are not being used on various units viz. wind, hydro, battery bank etc. Therefore, the overall system cost and maintenance is reduced. The performance of the proposed controller with ANFIS and PI controller results were evaluated by using Matlab/Simulink software.

Computers have a direct impact on our lives nowadays. Human's interaction with the computer has modified with the passage of time as improvement in technology occurred the better the human computer interaction became. Today we are... more

Computers have a direct impact on our lives nowadays. Human's interaction with the computer has modified with the passage of time as improvement in technology occurred the better the human computer interaction became. Today we are facilitated by the operating system that has reduced all the complexity of hardware and we undergo our computation in a very convenient way irrespective of the process occurring at the hardware level. Though the human computer interaction has improved but it's not done yet. If we come to the future the computer's role in our lives would be a lot more rather our life would be of the artificial intelligence. In our future the biggest resource would be component of time and wasting time for a key board entry or a mouse input would be unbearable so the need would be of the computer interaction environment that along with the complexity reduction also minimizes the time wastage in the human computer interaction. Accordingly in our future the computation would also be increased it would not be a simple operating system limited to a computer it would be computers managing our entire life activities hence fall out of domain of present computers electronic based architecture .In this research paper we propose a model that shall be meeting the future human computer interaction needs possessing linguistic human computer interference environment based on surface technology, automation and photonic computing, which would be reliable, efficient and quicker satisfying all the future artificial intelligence pre requisites.

ABSTRACT: This paper discusses the implementation details of a grid-based rendering framework for POV-Ray on desktop grids. Our goal is to present how enterprises can build desktop grids in Windows environment in order to enable semi-real... more

ABSTRACT: This paper discusses the implementation details of a grid-based rendering framework for POV-Ray on desktop grids. Our goal is to present how enterprises can build desktop grids in Windows environment in order to enable semi-real time rendering for 3D models, both images and animations, defined with POV-Ray. Algorithms, code and technical details are given for easy and efficient implementations. We think this work could be useful for both researchers and developers who are interested in the grid computing technology and its applications.

The inherent dynamical in grid computing has made it extremely difficult to come up with near-optimal solutions to efficiently schedule tasks in grids. Task Scheduling plays crucial role in Grid computing. It is a challenge-able issue... more

The inherent dynamical in grid computing has made it extremely difficult to come up with near-optimal solutions to efficiently schedule tasks in grids. Task Scheduling plays crucial role in Grid computing. It is a challenge-able issue among scientists to achieve better results especially in makespan based on various AI methods. Nowadays, non deterministic algorithms provide better results for these tasks. In this study the task scheduling problem in Grid computing environments has been addressed. In this paper, Queen Bee Algorithm is used for resolving scheduling problem and the obtained results are compared with several Meta–heuristic Algorithms which are developed to solve the problem. As it illustrated, queen bee algorithm is declined considerably makespan and execution time parameters rather than others in different states.

Grid computing is a new technology the objective of which is to share resources including processor, hard disk, software etc. in a dynamic, heterogeneous, and large-scale environment. This sharing is mainly employed to solve computing... more

Grid computing is a new technology the objective of which is to share resources including processor, hard disk, software etc. in a dynamic, heterogeneous, and large-scale environment. This sharing is mainly employed to solve computing problems in academic and industrial settings. Reliability of grid computing is very important considering it's growing use and development in sharing resources in dynamic and large-scale environments with heterogeneous composition. In this study, with regard to the basis of grid i.e. resource management, grid reliability and advances made in achieving this goal are investigated. In addition, problems of the reliability of grid computing system in large-scale, heterogeneous, and dynamic environments are also investigated.

In this work, we address the problem of locally estimating the size of a Peerto-Peer (P2P) network using local information. We present a novel approach for estimating the size of a peer-to-peer (P2P) network, fitting the sum of new... more

In this work, we address the problem of locally estimating the size of a Peerto-Peer (P2P) network using local information. We present a novel approach for estimating the size of a peer-to-peer (P2P) network, fitting the sum of new neighbors discovered at each iteration of a breadth-first search (BFS) with a logarithmic function, and then using Lambert’s W function to solve a root of a ln(n)+b−n = 0, where n is the network size. With rather little computation, we reach an estimation error of at most 10 percent, only allowing the BFS to iterate to the third level.