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Network simulators play a vital role in research and development of networks. Simulations are usually computationally intensive where distributed execution can improve performance significantly. However, due to the sequential nature of the communication process modeled by network simulators and limitations in access to source code it is not possible to completely isolate the sub-processes for distributed...
Grid can integrate massive idle resources into a high-performance supercomputer, which is good choice for resolving the complicated engineering optimization problems. However, the heterogeneous, distributed and dynamic characters of the grid resources makes tasks scheduling are very difficult in the engineering optimization. A grid scheduling algorithm which is based on resources monitoring and load...
Grid resource management and scheduling are confronted with a great challenge. This paper presented a dynamic resource price-adjusting (RPA) strategy in computational Grid. Three new concepts and two new evaluation standards are defined. On the basis of these theories, a Grid resource scheduling algorithm based on marker-driven using dynamic RPA strategy is proposed. With the help of GridSim toolkit,...
Recently, numerous job scheduling techniques have been proposed for improving the efficiency of resource sharing in heterogeneous computational grids. However, as we have noticed, some scheduling algorithms, especially those working in batch mode, are likely to be suffered from deficiencies when extended to an non-dedicated grid environment, where the consistency degree of underlying computing environment...
The frequent and volatile unavailability of volunteer-based grid computing resources challenges grid schedulers to make effective application placements. The manner in which host resources become unavailable will have different effects on different applications, depending on their runtime and their ability to be checkpointed or replicated. A multi-state availability model can help improve scheduling...
Scheduling is a fundamental issue in achieving high performance in multiclusters and computational grids. To efficiently schedule submitted jobs, WAN behavior should be considered as an important parameter, which highly influences the communication time of a job. However, due to the global state uncertainty, there is no suitable mathematical model to characterize network behavior, such that accurate...
Resource selection is an important issue of grid computing. If a grid job can stably gain enough CPU time from the same resources, not only the execution time of the job but also the frequency of resource reallocation is effectively minimized. However, most of the proposed methods are not effective enough to resolve the problem of resource selection in computational grids. The main reason is that...
This paper describes performance comparison of load balancing control through code migration in distributed desktop computing grids. A prototype of the middleware which migrates object code for computing is implemented, and the trade-off of code migration was observed. Based on the prototype experiment, several algorithms for location policy in desktop computing grids were examined on simulations,...
Large-scale stream media delivery over Internet is one hot and hard problem. Three main solutions have been developed for this purpose. Content delivery network (CDN) can provide high quality streaming service with high cost. Server-based proxies are cost-effective but not scalable due to the limited proxy capacity and its centralized control. Peer-to-peer (P2P) network is scalable but does not guarantee...
This paper complements the research carried out on the CAM (Collaborative/Cooperative Awareness Management) model with the inclusion of a new learning strategy based on the historical information of previous collaboration/cooperation with the aim to predict future behavior as well as for optimizing purposes. This strategy is based on neural network technology, specifically on Radial Based Function...
As grid technologies evolve quickly on Internet, research related to resource allocation and task scheduling faces new opportunities and challenges. These new technologies, ideas and approaches provide a new environment for researching and developing load balancing-oriented job scheduling system. Aiming at the hierarchical grid model structure, following statistical thinking, this paper proposed a...
This paper presents the design and implementation of an integrity measurement system based on Windows trusted computing platform. The trust chain is established from the BIOS up to the application layer, where the executable codes are taken the load-time measurements before execution. And the measurement system can generate an integrity proof for TPM-based remote attestation. In order to accurately...
Replication is used in data grid to enhance data availability and fault tolerance. The random burst of data requests may increase the frequency of dynamic replication thus putting system nodes under heavy storage load and delaying execution of jobs. We propose a load balancing replication strategy, Fair-Share Replication(FSR) that takes into account both the access load and storage load of the replica...
Dynamic load balancing is a key factor in achieving high performance for large scale distributed simulations on grid infrastructures. In a grid environment, the available resources and the simulationpsilas computation and communication behavior may experience run-time critical imbalances. Consequently, an initial static partitioning should be combined with a dynamic load balancing scheme to ensure...
Stochastic simulations may require many replications until their results are statistically significant. Each replication corresponds to a standalone simulation job, so that these can be computed in parallel. This paper presents a grid-inspired approach to distribute such independent jobs over a set of computing resources that host simulation services, all of which are managed by a central master service...
Nowadays, more researchers in the simulation field are interested in the use of a service-oriented architecture and component-based system in order to design more efficient large-scale distributed simulation systems. A Service-Oriented Architecture (SOA) is a collection of independent services with well-defined interfaces that can be accessed without knowledge of their implementation. A component-based...
Modeling and simulation techniques are indispensable in every aspect of power system design. To provide a higher level of accuracy, models of power systems need to include complexity. Power system models need to be simulated in a longer period of time and more frequently especially when they are being analyzed using complex computer algorithms. This challenges the computation capability of one single...
To make the most effective application placement decisions on volatile large-scale heterogeneous Grids, schedulers must consider factors such as resource speed, load, and reliability. Including reliability requires availability predictors, which consider different periods of resource history, and use various strategies to make predictions about resource behavior. Prediction accuracy significantly...
In recent years we have seen the wide adoption of Web services architecture in grid computing. Service discovery, as one of the critical tasks in Web services architecture, is addressed by the UDDI specification. However, UDDI does not gain as much popularity as other Web services specifications such as WSDL and SOAP. At the same time, a number of domain-specific service description models are developed...
Replication strategies directly affect the performance of grid resources in data grid. As the replication strategies are of great importance to data grid, this article built up a simulative environment with OptorSim simulators, and analyzed different replication strategies according to different accessing models. It is verified by the simulation results that the replication strategies adopted in this...
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