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In this paper we introduce the scientific issues related to deploying, in a multi-Cloud architecture, an infrastructure using the publish-subscribe paradigm for orchestrating the components of a framework that execute scientific workflows in highly heterogeneous and dynamic environments. More specifically we are in search of the adequate approaches to build deployment systems for heterogeneous and...
This research focuses on improving business process worked under workflow simulation. In the business process, there are several properties to be considered such as person, cost, time. The current workflow simulation cannot combine these properties to simulate the situation for business decision making. In this paper, the improving business workflow simulation is proposed by adding the business properties...
Model-based simulation and monitoring are becoming part of advanced learning environments. In this paper, we propose a model-based simulation and monitoring framework for management of learning assessment and we describe its architecture and main functionalities. The proposed framework allows user-friendly learning simulation with a strong support for collaboration and social interactions. Moreover,...
We present Asterism, an open source data-intensive framework, which combines the strengths of traditional workflow management systems with new parallel stream-based dataflow systems to run data-intensive applications across multiple heterogeneous resources, without users having to: re-formulate their methods according to different enactment engines; manage the data distribution across systems; parallelize...
Today's science is more and more driven by collecting and evaluating increasing amounts of data. Utilizing Scientific Workflows is one suitable method how to organize processing pipelines for this purpose. In this work, we show that performance improvements on the execution of existing workflows can be achieved, if the conditions for starting selected tasks with certain data access characteristics...
This paper describes the co-simulation methodology adopted for hardware verification of a next generation network packet processing engine (Advanced I/O Processor or AIOP) utilizing virtual prototype models developed originally for software verification. Though co-simulation strategies are common in verification of stand-alone processors, they have seldom been used for mega-modules and SoC, which...
Supporting real-time, cost-effective execution of Complex Event processing applications in the cloud has been an important goal for many scientists in recent years. Distributed Stream Processing Systems (DSPS) have been widely adopted by major computing companies as a powerful approach for large-scale Complex Event processing (CEP). However, determining the appropriate degree of parallelism of the...
The development of adaptive distributed systems is complex. Due to a large amount of interdependencies and feedback loops between network nodes and software components, distributed systems respond nonlinearly to changes in the environment and system adaptations. Although Event Condition Action (ECA) rules allow a crisp definition of the adaptive behavior and a loose coupling with the actual system...
Cloud computing and the Internet of Things (IoT)0 are currently the two dominant Internet technologies, but cloud computing embodies the maturity of the computing field with its clear path to software generation, transmission, distribution and control. The growth and popularity of cloud-virtualized resources (infrastructure, platform and software), have been accompanied with an increase in cloud performance...
There are often low-level migration policies that are enforced by the platform providers to reduce the cost associated with the consumption of energy. There are also high-level policies produced by the enterprises that own the virtual machines. For example, enterprises can impose location-oriented policies to stop the execution of tasks in a given country. The policies can also be aimed at boosting...
Cloud computing popularity is growing rapidly and consequently the number of companies offering their services in the form of Software-as-a-Service (SaaS) or Infrastructure-as-a-Service (IaaS) is increasing. The diversity and usage benefits of the IaaS offers are encouraging SaaS providers to lease resources from the Cloud instead of operating their own data centers. This helps them to get rid of...
The belief-desire-intention (BDI) model is one of the most prominent models for designing artificial intelligent agents. Being relatively simple the BDI model doesn't take into account several aspects of human reasoning, including the role of emotions. The work presented in this paper contributes to the recent effort to extend the BDI model and its implementations with emotions as defined in the emotional...
Quantifying and measuring Quality of Experience (QoE) are important and difficult concerns in Human Computer Interaction (HCI). Quality of Service (QoS) and the actual User Interface (UI) of the application are both important contributors to the QoE of a user. This paper describes a framework that measures accurately the way a user uses the UI in order to model users' behaviors and profiles. It monitors...
Service orientation is a mainstream paradigm in business applications and gains even greater acceptance in the very active field of eScience. In SOC service binding strategies have been defined to specify the point in time a service can be discovered and selected for use, namely static binding, dynamic binding at deployment or at run time, and dynamic service deployment. The basic assumption in all...
Self-awareness and self-expression are promising architectural concepts for embedded systems to be equipped with to match them with dedicated application scenarios and constraints in the avionic and space-flight industry. Typically, these systems operate in largely undefined environments and are not reachable after deployment for a long time or even never ever again. This paper introduces a reference...
Researching how to combine workflow with Agent in order to improve flexibility and self learning ability is a hotspot of researches because of the needs of the workflow technology and the characteristics of the agent technology with self-learningability. This paper introduces agent technology in workflow engine, designs a Workflow Engine Model on Multi-agent and analyzes the functions of each agent...
Nowadays, many organizations use BPM for capturing and monitoring their business processes. The introduction of BPM in an organization may become expensive, because of the upfront investments on software and hardware. Therefore, organizations can choose for a cloud-based BPM system, in which a BPM system can be used in a pay-per-use manner. Opting for cloud-based solutions may normally raise concerns...
FP7 ICT4Depression project aims at providing a set of tools to further improve both patient outcome and increase of access to treatment of the patients suffering from major depression. This article describes the Information Systems (IS) architecture used in the project. ICT4Depression uses a service oriented architecture as means of bringing together different kinds of information concerning the patient,...
Maritime information systems typically offer system features for data collection, information fusion and the automated construction of a basic recognized maritime picture for human operators. However making sense of maritime situations is still very much an intensive human-based cognitive endeavor. Limited human resources face difficult cognitive challenges in making sense of huge amount of data generated...
Cloud computing is gaining tremendous momentum in both academia and industry. The application of Cloud computing, however, has mostly focused on Web applications and business applications; while the recognition of using Cloud computing to support large-scale workflows, especially data-intensive scientific workflows on the Cloud is still largely overlooked. We coin the term "Cloud Workflow",...
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