Narrow Results

In order to provide a uniform virtual view of resources for different users and applications, a grid computing framework with spaces (GCFS) is proposed. Based on the asynchronous mechanisms of the spaces model, this framework uses spaces to share data for applications. Spaces offer a virtual workspace for both resource providers and consumers in job scheduling. Task assignment is implemented by the coordination between the task manager and task schedulers. The space manager can dynamically create or destroy space services in response to the change of resource supplies and demands. Finally, a simulation of third generation (3G) wireless systems is developed to demonstrate the above ideas, and it is found that a flexible grid computing environment can be realized via GCFS.

In industrial, scientific and commercial fields, geographically dispersed large data sets are necessary to be analyzed to get a lot of useful information by using distributed data mining (DDM). However, DDM now confronts many new challenges such as seamless-cooperation which can not easily be solved on current distributed computing environment. As the latest development of distributed computing technology, the gird computing may play a key role in solving these challenges. In this paper, the shortcoming of current existing DDM systems is showed, and a service-oriented architecture of DDM on the grid is proposed. The mining algorithm, distributed data sets and computing power are abstracted as web service resource (WS-Resource), which can cooperate to perform DDM as required dynamically. In addition, the paper describes the mining process on the proposed framework in detail.

Resource sharing is an important issue for almost all applications. In this paper, we study communication link sharing strategies for application level scheduler on grids as well as heterogeneous and distributed characteristics. We assume that the link is shared via time-sharing or proportional-sharing. We build solution to solve this problem by linear programming, in rational numbers, which can be solved in polynomial time. Our preliminary results show that time-sharing scheme may achieve better performance than that of proportional-sharing.

This paper attempts to evaluate the performance of grid computing to be applied in electric power system. It can integrate distributed computing resources to perform high performance computing, hence, potentially providing an ideal solution for electric power system that is inherently distributed topology. This paper tested the performance of grid computing used as distributed monitoring and control, and distributed parallel computing. The test results show that the grid computing based distributed parallel computing can achieve comparable performance to that of MPI (Message Passing Interface), while it can be implemented on wide-area network and with lower performance of computers. To further improve the performance, WD-MPI (Wide-area Dynamic MPI), based on peer-to-peer (P2P) communication management of messaging is developed. In order to deal with flexible communication and bear with data delay or even data loss, asynchronous iterative algorithm is designed.

As Grid computing is making its presence a reality in our daily lives, not only the development of alternatives to deliver available resources to organizations demanding such processing power are needed, but also the need of an economic model where Grid infrastructures can be used as a good or product. Economy is a driving factor that motivates technological developments, whilst revenues and expenses represent operations and functions that business generates inside this system. In this paper, it is described GOCportal, a business-oriented Grid technology-based portal framework containing a number of grid technology-based components, merged and integrated with economic and commercial business models. Considering that organizations will take advantage of Grid technology without having to build a custom-in-house solution, the proposed solution aims at operation and commercialization of available resources in future grid technology-based centers, by allocating them economically efficient.

This chapter investigates service-oriented computing in the context of object-oriented distributed platforms. A platform consists of virtual compute resources, a programming environment allowing for the development of distributed applications, and an operating system to run user programs and to make solving complex user problems easier. Service protocol-oriented architectures are contrasted with service object-oriented architectures (SOOA), and then a metacompute grid based on an SOOA is described and analyzed. A new object-oriented network programming methodology is presented in this chapter. It uses the intuitive metacomputing semantics and the new Triple Command design pattern. The pattern defines how service objects communicate by sending one another a form of service messages called exertions that encapsulate the triplet: data, operations, and control strategy.

The necessity of making a robust system to the uncertainties of the different measures taken from the computing infrastructure is one of Grid Computing research challenges. Particularly, the appropriation of relevant information to tasks scheduling from a set of heterogeneous sources and dynamic behavior has been the focus of a significant studies number. Considering this background, this article aims to propose a task scheduling module in Grid Computing with uncertainty regime decision. The proposed module, named fGrid, uses Fuzzy Logic to treat uncertainties. Simulations to evaluate the fGrid were executed with SimGrid simulator use. In addition to promising results, the use of a standard scale with linguistic variables facilitates the manipulation of both the priority list and the scaling, which contributes to ease maintenance.

Among the research challenges in computational grids, we need to make the system robust both the uncertainties of the different measures extracted from the computational infrastructure and the imprecision of the calculations related to the decision making. Scheduling tasks is a known NP-Hard problem. This paper provides an approach with Fuzzy Type-2 logics to treat uncertainties and dynamic behavior for scheduling tasks in grid environments, named Int-fGrid. The scheduler was validated through simulations in the SimGrid framework with a model of the GridRS architecture. Our results show that the Fuzzy Type-2 approach provides makespans up to 17.60% better than the best alternative tested scheduler XSufferage.

Job scheduling in Computational Grids is a complex task because of the lack of control over the resources. Under these conditions, it is impossible to know exactly which host will perform better for a given job. On the other hand, fuzzy systems have demonstrated in recent years to behave well in this kind of situations, with imprecision, incomplete information or a lack of an exact model of the optimization space. In this paper we present a fuzzy system, built on top of the GridWay meta-scheduler, to evaluate the reliability of each candidate resource. This information is used by GridWay to choose the resource where the job will be dispatched.

Science is the must for human culture of the third millennium. The exceptional role in this process is played by information and communication technologies (ICT), and the high demand for ICT leads to many forms of it: Internet, Mobile Internet, Internet of Things (IoT), Grid Computing, Cloud Computing. The article discusses influences and reflections to our life, caused by recent and future forms of ICT: a centralized and decentralized IoT regime, human privacy protection and protection of personal data, risk of cyber terrorism, communication reflection for the small country (like Lithuania), "silence of chips", some others. IoT is based on the idea of a worldwide, wireless, integrated network of smart facilities and devices ("things") as well as a whole range of different sensors and actuators, in which, using standard protocols, the "things" communicate with each other, and with people. Technically, the road to IoT covers device integration, certification and maintenance, service provisioning, as devices participating in IoT need to talk to each other, not just to people. Such phenomena are presented in the article as a challenge to interdisciplinary research. Future generations will have a smart live in a global environment, if we care more about sustainable development and planetary emergencies.