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Data Grids provide services and infrastructure for distributed data-intensive applications accessing massive geographically distributed datasets. An important technique to speed access in Data Grids is replication, which provides nearby data access. Much of the work on the replica placement problem has focused on average system performance and ignored quality assurance issues. In a data grid environment,...
The Internet has become a worldwide commercial enterprise serving millions. Usage accounting is needed to support network management and cost recovery for the present day Internet. The new user base demands consistently high quality service and reliability, and their applications impose strenuous service requirements. These Internet applications rely on IP addresses for accounting and service provisioning...
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,...
As energy efficiency and associated costs become key concerns, consolidated and virtualized data centers and clouds are attractive computing platforms for data- and compute- intensive applications. These platforms provide an abstraction of nearly-unlimited computing resources through the elastic use of pools of consolidated resources, and provide opportunities for higher utilization and energy savings...
The mobility issue in grid environments has established new challenges to the research communities particularly in the areas of scheduling, adaptation, security and mobility. Especially, the resource allocation becomes more challenging when mobility is considered in grid environment. Hence it is necessary to consider the mobility of users along with the resource availability while scheduling the resources...
Business oriented grids call for effective Quality of Service strategies able to adapt to different user requirements. Performance analyses and predictions with respect to different load conditions or management policies are essential instruments to define such strategies. In this paper, we present a non-Markovian Stochastic Petri Net model that allows to conduct performance analyses of Grid systems...
Nowadays, medium or large-scale distributed infrastructures such as clusters and grids are widely used to host various kinds of applications (e.g. web servers or scientific applications). Resource management is a major challenge for most organizations that run these infrastructures. Many studies show that clusters are not used at their full capacity and that there are therefore a huge source of waste...
GridStat is a QoS-managed middleware framework designed to replace the power grid's aging, inflexible, and slow data communications system. GridStat is a specialization of the publish-subscribe paradigm that takes advantage of the semantics of periodic updates of cached sensor data to provide data delivery with a per-subscriber rate, latency, and redundant paths. While GridStat is well-suited for...
The issue of the guarantee quality of service (QOS) for users can be provided by the advanced reservation. The advanced reservation is a kind of mechanism that can provide the ability to allocate resources for users based on the agreement upon the needs of quality service and increase of the number of accepted users' requests in grid system. Scheduling and advanced reservation of the resources in...
There are many research make use of grid computing to solve large-scale problems and produced at a tremendous velocity and volume from scientific experiments in the fields of high energy physics, molecular docking, computer micro-tomography and many others. Distribute fairly available resources is one of the problem in grid computing and economy model is a way to solve those problems about distribute...
Survivability is a key issue in optical grids. In this paper, a resilient Optical Burst Switching (OBS) / Generalized Multi-Protocol Label Switching (GMPLS) network scenario, in which both the protection/restoration in the OBS layer and GMPLS layer and the resilient resource discovery and management scheme are experimentally demonstrated and theoretically analyzed. The results show that the proposed...
Managing virtual machines (VM) in large scale enterprise grid scenarios, commonly encountered in data centers, is extremely challenging. Currently, live VM migration is based on QoS non-conformance events; migration of a VM is initiated as soon as the aggregate resource (CPU and memory) requirements of the VMs on the physical machine (PM) exceed the capacity available on the PM. However, this paper...
The management of the large scale heterogeneous resources is a critical issue in grid computing. The resource management system (RMS) is an essential component of grids. To ensure the QoS of the upper layer service, it raises high requirement for the performance, fault-tolerance and scalability of RMS. In this paper, we study three typical structures of RMS, including centralized, hierarchical and...
The convergence between Web services and grid computing became possible the integration of distributed services, providing the use of sharing and coordinated resources on the network. In this environment, the purpose of a Metascheduler would improve the performance, availability and scalability of the resources. In this paper, we present a Metascheduler framework aiming QoS provision in Web services...
In e-science environment researchers can submit complex tasks as scientific workflows. However, because the network may be blocked or even interrupted sometimes, it can hinder the researchers to submit tasks, as well as the overload on the server. Additionally, many tasks submitted by researchers may use the same resources, which may result in the overload of the specific resources. Meanwhile, some...
Service discovery is indispensable to both resource sharing and service integration in the Internet/Grid. In the face of enormous and various services which scatter in the Internet/Grid, the central issue needed to be addressed by a service discovery system is how to quickly shrink the search scope and exactly locate the desired services. Moreover, since simulation experiments are limited in the number...
Leveraging a complex infrastructure such as the computing Grids requires an appropriate level of monitoring. Since it is a technology in development, the current computing Grid middleware offer very little monitoring capabilities from the users' point of view. Making the Grid closer to the users requires that the users have deeper insight of what is happening with the computational jobs they submit...
This article identifies key technology components for provisioning multimedia services on grid-based infrastructures and discusses needed research to deal with the demands of next-generation multimedia applications.
Communication networks form the basis for supporting various ubiquitous and pervasive grid applications, therefore network service discovery, selection, and composition play a significant role in ubiquitous and pervasive grids. Due to the heterogeneity of networking systems in ubiquitous and pervasive computing environments, network service description and discovery in ubiquitous and pervasive grids...
Our former study had investigated the modeling and performance evaluation of QoS-aware job scheduling on computational grids using the stochastic high-level Petri net (SHLPN). This paper proposes an approximate performance analysis technique, which is based on the decomposition and refinement of the SHLPN model as well as iteration among submodels, to reduce the complexity of the model and cope with...
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