A classification of emerging and traditional grid systems

The grid has evolved in numerous distinct phases. It started in the early ’90s as a model of metacomputing in which supercomputers share resources; subsequently, researchers added the ability to share data. This is usually referred to as the first-generation grid. By the late ’90s, researchers had outlined the framework for second-generation grids, characterized by their use of grid middleware systems to “glue” different grid technologies together. Third-generation grids originated in the early millennium when Web technology was combined with second-generation grids. As a result, the invisible grid, in which grid complexity is fully hidden through resource virtualization, started receiving attention. Subsequently, grid researchers identified the requirement for semantically rich knowledge grids, in which middleware technologies are more intelligent and autonomic. Recently, the necessity for grids to support and extend the ambient intelligence vision has emerged. In AmI, humans are surrounded by computing technologies that are unobtrusively embedded in their surroundings. However, third-generation grids’ current architecture doesn’t meet the requirements of next-generation grids (NGG) and service-oriented knowledge utility (SOKU).4 A few years ago, a group of independent experts, arranged by the European Commission, identified these shortcomings as a way to identify potential European grid research priorities for 2010 and beyond. The experts envision grid systems’ information, knowledge, and processing capabilities as a set of utility services.3 Consequently, new grid systems are emerging to materialize these visions. Here, we review emerging grids and classify them to motivate further research and help establish a solid foundation in this rapidly evolving area

Architecture for wireless grids

Evolving consumer expectations will require changes to the existing access network – next generation access networks (NGNs). Emerging services leads to a great increase in bandwidth demand. Another great challenge to access networks is mobility. By other side, wireless mobile devices have become an indispensable tool for households and businesses. The increase of wireless devices, motivated by the rapid decrease of the cost and ease installation, leads to the redesign of the way applications and services are delivered. So, the integration of wireless grids with NGNs is extremely important. This paper presents a new architecture to integrate wireless grids in access networks.info:eu-repo/semantics/publishedVersio

Architecture to integrate broadband access networks and wireless grids

Today, the access networks face two main challenges: the increasing bandwidth demand and mobility trends. All this will require fundamental changes to the operations of access networks, the functionality of network nodes and the architecture itself. By other side, the evolution of computing and communication networks toward decentralized and distributed systems implies that all the intelligence is on the edge nodes of the networks. Integrating wireless devices with the traditional wired grid infrastructure will allow the access (transfer, processing, etc) to the information that is now scattered across the different devices. In this paper, we present a new architecture and a cost model to support the new requirements of broadband access (fixed and nomadic users) and wireless grids in an integrated way

Simulation of Wireless Grid Computmg

For the last decade we have seen that there is an extensive increase in the computer and network area. There is faster hardware and sophisticated software that are been release time to time. Even so there are still problems in the field of science, engineering, and business which cannot dealt effectively with the new era of supercomputers. The objective of this paper is to design and implement the wireless simulation for grid computing architecture. The problem that has been state here is whether it is possible or not to design and implement the wireless grid computing in order to enhance the grid computing utilization. This paper is focus onthe designing and implementing the wireless grid computing architecture that will enhance the performance. This project will have 3 phases which is phase 1 consist of system identification and requirement analysis, phase 2 consist of project design and project development and lastly code and unit testing for phase 3. For this project, it will focus on how the wireless architecture can enhance the grid computing usage in the network management.

Grids accesibles

El uso de los dispositivos móviles ha aumentado de forma importante alrededor del mundo en los últimos años. Por otro lado, las capacidades actuales de los teléfonos inteligentes se han incrementado de tal forma que comienzan a ser considerados como una posible infraestructura de cómputo. Por ejemplo, se ha estudiado la problemática de incorporarlos a una Grid, no sólo para mejorar el acceso de los usuarios a los recursos de la Grid, sino como proveedores de recursos; en este último caso se conocen como Grid Móviles o también Grids Accesibles. Este trabajo profundiza sobre el estado actual de la tecnología existente para Grids Móviles y se busca el sistema más adecuado que permita la ejecución de tareas, escritas en C++, en dispositivos móviles. Como resultado del análisis se decide desplegar la Grid BOINC, la cual permite ejecutar tareas en C++. Entre las principales conclusiones de este trabajo se encuentran, el confirmar la posibilidad de ejecutar tareas en C++ en teléfonos Android, realizando ciertas modificaciones a los programas, por otro lado se nota una tecnología aún en estado de maduración, por los pocos trabajos prácticos encontrados.This Graduation Project presents a comparative analysis between different projects implementing Accessible Grids that use mobile devices. As a result of said analysis the author decide on deploying the BOINC system, including mobile devices, in order to execute assignments. BOINC offers some limitations, like the need for a central manager and lack of control on the resources. Due to BOINC’s implementation of voluntary computing there’s access to more resources, but the availability of said resources depends on the users. Although the technology still in development, due to the few practical Works found.Ingeniero (a) de SistemasPregrad

Personal mobile grids with a honeybee inspired resource scheduler

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The overall aim of the thesis has been to introduce Personal Mobile Grids (PMGrids) as a novel paradigm in grid computing that scales grid infrastructures to mobile devices and extends grid entities to individual personal users. In this thesis, architectural designs as well as simulation models for PM-Grids are developed. The core of any grid system is its resource scheduler. However, virtually all current conventional grid schedulers do not address the non-clairvoyant scheduling problem, where job information is not available before the end of execution. Therefore, this thesis proposes a honeybee inspired resource scheduling heuristic for PM-Grids (HoPe) incorporating a radical approach to grid resource scheduling to tackle this problem. A detailed design and implementation of HoPe with a decentralised self-management and adaptive policy are initiated. Among the other main contributions are a comprehensive taxonomy of grid systems as well as a detailed analysis of the honeybee colony and its nectar acquisition process (NAP), from the resource scheduling perspective, which have not been presented in any previous work, to the best of our knowledge. PM-Grid designs and HoPe implementation were evaluated thoroughly through a strictly controlled empirical evaluation framework with a well-established heuristic in high throughput computing, the opportunistic scheduling heuristic (OSH), as a benchmark algorithm. Comparisons with optimal values and worst bounds are conducted to gain a clear insight into HoPe behaviour, in terms of stability, throughput, turnaround time and speedup, under different running conditions of number of jobs and grid scales. Experimental results demonstrate the superiority of HoPe performance where it has successfully maintained optimum stability and throughput in more than 95% of the experiments, with HoPe achieving three times better than the OSH under extremely heavy loads. Regarding the turnaround time and speedup, HoPe has effectively achieved less than 50% of the turnaround time incurred by the OSH, while doubling its speedup in more than 60% of the experiments. These results indicate the potential of both PM-Grids and HoPe in realising futuristic grid visions. Therefore considering the deployment of PM-Grids in real life scenarios and the utilisation of HoPe in other parallel processing and high throughput computing systems are recommended

Personal mobile grids with a honeybee inspired resource scheduler

The overall aim of the thesis has been to introduce Personal Mobile Grids (PMGrids) as a novel paradigm in grid computing that scales grid infrastructures to mobile devices and extends grid entities to individual personal users. In this thesis, architectural designs as well as simulation models for PM-Grids are developed. The core of any grid system is its resource scheduler. However, virtually all current conventional grid schedulers do not address the non-clairvoyant scheduling problem, where job information is not available before the end of execution. Therefore, this thesis proposes a honeybee inspired resource scheduling heuristic for PM-Grids (HoPe) incorporating a radical approach to grid resource scheduling to tackle this problem. A detailed design and implementation of HoPe with a decentralised self-management and adaptive policy are initiated. Among the other main contributions are a comprehensive taxonomy of grid systems as well as a detailed analysis of the honeybee colony and its nectar acquisition process (NAP), from the resource scheduling perspective, which have not been presented in any previous work, to the best of our knowledge. PM-Grid designs and HoPe implementation were evaluated thoroughly through a strictly controlled empirical evaluation framework with a well-established heuristic in high throughput computing, the opportunistic scheduling heuristic (OSH), as a benchmark algorithm. Comparisons with optimal values and worst bounds are conducted to gain a clear insight into HoPe behaviour, in terms of stability, throughput, turnaround time and speedup, under different running conditions of number of jobs and grid scales. Experimental results demonstrate the superiority of HoPe performance where it has successfully maintained optimum stability and throughput in more than 95% of the experiments, with HoPe achieving three times better than the OSH under extremely heavy loads. Regarding the turnaround time and speedup, HoPe has effectively achieved less than 50% of the turnaround time incurred by the OSH, while doubling its speedup in more than 60% of the experiments. These results indicate the potential of both PM-Grids and HoPe in realising futuristic grid visions. Therefore considering the deployment of PM-Grids in real life scenarios and the utilisation of HoPe in other parallel processing and high throughput computing systems are recommended.EThOS - Electronic Theses Online ServiceGBUnited Kingdo