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Many scientific grid systems have been running and serving researchers for many years around the world. Among them, Globus Toolkit and its variants are playing an important role as the basis of most of those existing grid systems. However, the way data is stored and accessed varies. Proprietary protocols have been designed and developed to serve data by different storage systems or file systems. One...
Performance assurance has become an important aspect in grid and cloud computing which provide services over the Internet, and Service Level Agreements (SLA) are frequently contracted between users and the service providers. However, the I/O performance of the storage or data access service is still provided on a best effort basis. Some distributed storage systems implement performance reservation,...
How to federate the machines of all Boinc, Condor and XtremWeb projects? If you believe in volunteer computing and want to share more than one project then BonjourGrid may help. In previous works, we proposed a novel approach, called BonjourGrid, to orchestrate multiple instances of Institutional Desktop Grid middleware. It is our way to remove the risk of bottleneck and failure, and to guarantee...
This paper is aimed at developing a novel remote-paging system called Adaptive Grid Remote Pager (AGRP) on computational grids. Different to related work, this system is able to promise the effectiveness of remote paging. To achieve this goal, the resource broker of AGRP allocates only the grid nodes which are helpful for the performance of user programs to play the memory servers of remote paging...
This paper introduces the User-level Remote Swap Library, URSL, which enables memory-homogeneous Grid execution. This is obtained by letting the Grid infrastructure supply a remote memory bank to the connected resources. Insufficient memory at the contribution computer resource in a Grid is a major limitation when users seek to get high throughput in a Grid infrastructure, simply because a number...
In a volunteer-based Grid, the system must be heterogeneous, and the computation capability of each node varies, and load distribution or load balancing is one of the most important issues in Grid. Some techniques have been proposed for dynamic load distribution which relocates jobs, by migrating running jobs keeping their execution states, from a high-loaded node to a lower-loaded node during execution...
Load balancing is one of the critical issues that must be considered in managing a grid computing environment. It is complicated due to the distributed and heterogeneous nature of the resources. An enhanced ant algorithm for load balancing in grid computing is proposed in this paper. The proposed algorithm will determine the best resource to be allocated to the jobs based on job characteristics and...
Cloud Computing is the evolution of the Grid Computing paradigm towards service-oriented architectures. The terminology applied to this kind of processing, when describing shared resources, refers to the concept of X as a Service. Such resources are available on demand and at a significantly lower cost compared to self-delivery of individual components (in addition to the price of suitable hardware...
Grid computing enables heterogeneous machines to share computational resources across different organisations and various geographic locations. Introducing a market-like mechanism into Grid computing benefits participants. In this paper, we propose a cost-effective and secure marketplace which encourages good conduct for Grid computing.
Formerly computer application development just develops in one computer with one application, if one user wants to use some application in other computer (e.g. a computer or device) then the computer or device must be deployed or reinstalled the application in another computer. As a result, due to improve this problem, many application developer start redesign or translate elder application as Web...
This paper presents a monitoring and forecasting system for Grid resources, based on Java and agent technologies. Performance monitoring, measurement and forecasting of Grid resources is an active research area, several researches and projects are studying and developing Grid information systems in order to provide users or schedulers with services necessary to determine which grid resource fulfills...
In this paper, we propose a new algorithm for job interchange in Computational Grids that consist of autonomous and equitable HPC sites, called Shaking-G. Originally developed for balancing the sharing of video files in P2P networks, we conceptually transfer and adapt the algorithm to the domain of job scheduling in Grids, building an integrated, load-adaptive two-tier job exchange strategy. We evaluate...
In this paper, we study the impact of tasks reallocation onto a multi-cluster environment where clusters are heterogeneous and use different resources management policies. In this context, we propose a reallocation mechanism that migrates waiting jobs from one cluster to another. We performed simulations using real traces to study benefits of reallocations. We compared two algorithms providing the...
It is nowadays common to use a grid middleware to access distributed resources in order to solve large problems. Many middleware can be found in the literature. Whereas they all rely on the use of resource brokers (also sometimes called agents) to schedule jobs, and servers to execute them, they do not share the same structure. Many rely on a simple design, e.g., a star graph (one agent managing several...
In this paper, we study manufacturing grid resource scheduling strategy based on local caching. First, we propose a resource encapsulation model for manufacturing grid's local cache. Based on this model, we study the design and deployment of local caching of the manufacturing grid, and improve the algorithm of local cache replacement. The enhancement of benefits of the new local cache policy is analyzed...
With the extensive applications of FFT in digital signal processing and image signal processing which needs a extensive application of large-scale computing, it Become more and more important to improve parallelism, Efficient and Scalable parallel of FFT algorithm. This paper Improve the parallelism of the FFT algorithm based on the Six-Step FFT algorithm, And build up a framework Based on Grid, Through...
Grid was developed and utilized on the base of the Internet. As the problems of information security taken by the openness of the Internet are getting more and more serious, the demands for security data exchange in the Grid grow day by day. In the application environment of grid service, the intermediary need to forward the message on transmission path, which exceed the point-to-point security range...
In grid computing, load balancing is a technique to distribute workload evenly across two or more computing nodes, in order to get optimal resource utilization, maximize throughput, minimize response time, and avoid overload. This paper takes advantages of genetic algorithm, brings forward a novel heuristic genetic load balancing algorithm and applied to solve grid computing load balancing problem...
IP spoofing has been exploited by Distributed Denial of Service (DDoS) attacks to conceal flooding sources and localities in flooding traffic, and prevent legitimate hosts into becoming reflectors, redirecting and amplifying flooding traffic. Thus, the ability to filter spoofed IP packets near victims is essential to their own protection as well as to their avoidance of becoming congestion and involuntary...
Engineering Computational Service Grid Portal (ECSGP) is an engineering computational environment for integrating design resources effectively by using Grid portal technology. For ECSGP, the secure job process by integrating proxy credential, authentication trust level, and secure BPEL(Business Process Execution Language) engine is proposed, and the implementation technologies are analyzed in this...
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