The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Efficient management of multimedia services necessitates the understanding of how the quality of these services is perceived by the users. Estimation of the perceived quality or Quality of Experience (QoE) of the service is a challenging process due to the subjective nature of QoE. This process usually incorporates complex subjective studies that need to recreate the viewing conditions of the service...
Grid and cloud schedulers benefit from predictable service for their choices in allocating jobs on remote servers/clusters. Predictable service on local clusters supports fairness and user satisfaction. The paper looks into servers that employ batch scheduling and support time sharing and/or space partitioning of the available resources among different parallel-job workloads. This provides the basis...
This paper proposes a novel approach in tackling the resource brokering problem in heterogeneous distributed computing systems. To obtain the best utilization of the systems, researchers are often focusing on improving scheduling algorithms and strategies with the knowledge of tasks and resources at the scheduling time. Unlike these approaches, we apply an intelligence decision making mechanism to...
Cloud/Grid environments are characterized by a diverse set of technologies used for communication, execution and management. Service Providers, in this context, need to be equipped with an automated process in order to optimize service provisioning through advanced performance prediction methods. Furthermore, existing software solutions such as GNU Octave offer a wide range of possibilities for implementing...
Universal Mobile Telecommunication System (UMTS) is a third generation mobile communication systems that supports wireless wideband multimedia applications. The objective of this paper is to present a new model for non-intrusive prediction of H.264 encoded video quality over UMTS networks and to illustrate their application to video quality monitoring and adaptation in mobile wireless streaming services...
Many computer systems and applications must be “non-stop” that is, provide continuous and uninterrupted services. Meanwhile, Service-Based Applications (SBAs) should be dynamic in terms of adap¬tability in order to operate and evolve in highly dynamic environments. Thus, in general, non-stop service-based applications require the ability to be updated without interruption. Flurry of researches on...
In order to improve the resource utilization of virtual machine and control the resource allocation online effectively, in this paper, we present a grey prediction control model used for dynamic resource allocation in virtual machine as workloads changing. First, we forecast the allocation of virtualized resources by the grey control model. We also adjust the boundary conditions of grey prediction...
This paper proposes the inclusion of two traffic forecasting frameworks in traffic sampling paradigm. The proposed frameworks: namely, the pattern forecasting and the attack forecasting, predicts the occurrence of traffic deviation and examines the existence of malicious attack in the traffic deviation, respectively. While the former utilizes the ARAR model to forecast the network traffic, the latter...
Modern IT systems serve many different business processes on a shared infrastructure in parallel. The automatic request execution on the numerous interconnected components, hosted on heterogeneous hardware resources, is coordinated in distributed transaction processing (DTP) systems. While pre-defined quality-of-service metrics must be met, IT providers have to deal with a highly dynamic environment...
With the introduction of dynamic image processing, such as in image analysis, the computational complexity has become data dependent and memory usage irregular. Therefore, the possibility of runtime estimation of resource usage would be highly attractive and would enable quality-of-service (QoS) control for dynamic image-processing applications with shared resources. A possible solution to this problem...
The special priority and urgent computing environment (SPRUCE) provides on-demand access to high-performance computing resources for time-critical applications. While SPRUCE supports computationally intensive applications, it does not fully support high-priority, data intensive applications. To support data intensive applications in urgent computing environments, we developed the urgent computing...
Self-adaptive systems are capable of changing their behaviour at runtime to meet target constraints. An important research question is how quality of service models can inform runtime adaptation. We sketch one solution to this question by application of control theory to improve performance of queued systems by means of architectural adaptation. Previous research by our group has shown how Auto Regressive...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.