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In many resource constrained web/cloud applications, users are given the ability to generate different kinds of reports after selecting some criteria for each report to be produced. Such criteria could, for example, be filters on certain report attributes. With limited computing resources, it is critical to prioritize the reports requested by users at any certain period of time. Then, that prioritization...
Climate Model Diagnostic Analyzer (CMDA) is a web-based information system designed for the climate modeling and model analysis community to analyze climate data from models and observations. CMDA provides tools to diagnostically analyze climate data for model validation and improvement, and to systematically manage analysis provenance for sharing results with other investigators. CMDA utilizes cloud...
Web services provide functionalities to the users. Software products and services require high quality. Quality parameters of Web and cloud based applications includes scalability, balancing workload, high availability and other parameters. The objective of the paper to improve the performance of web in cloud based applications. Cloud based applications provide services to the users such as platform...
Service-Oriented Architectures can experience a highly diversified and complex set of interactions between web services for them to compute a response to an incoming service request. Existing approaches based on modelling and control theory are good for strategic and long-term development of a data center resource dimensioning necessary to respond within the boundaries of Service Level Agrements....
With the development of the network data and use the change of demand, extension from cloud computing cloud storage become the research focus and hot spot. This paper mainly introduces the characteristics of cloud storage technology, and analyze the hierarchical structure of the cloud storage service, and then analyzing the data storage structure of the cloud storage service, emphasis on reliability...
The comprehensive and innovative evaluation of climate models with newly available global observations is critically needed for the improvement of climate model current-state representation and future-state predictability. A climate model diagnostic evaluation process requires physics-based multi-variable analyses that typically involve large-volume and heterogeneous datasets, making them both computation-...
An important challenge in today's software development domain is to integrate diverse development tools. In this paper we present a method that combine various modeling languages which underline a set of steps for the purpose of specifying tool integration, and then establish tool chains above the Service cloud and provide these tools as Services. A case study from the embedded system development...
Cloud computing based Data-as-a-Service (DaaS) has become popular. Several data assets have been released in DaaSes across different cloud platforms. Nevertheless, there are no well-defined ways to describe DaaSes and their associated data assets. On the one hand, existing DaaS providers simply use HTML documents to describe their service. This simple way of service description requires user to manually...
Complex Event Processing over Web service event streams poses huge challenges with regard to efficient, scalable execution as well as expressive models and languages that account for the dynamics in long-running queries. We present a distributed query platform that tackles these problems. Our novel query model permits to specify inputs that provide data for other inputs and need to be processed first...
The proliferation of Data as a Service (DaaS) available on the Internet and offered by cloud service providers indicates an increasing trend in providing data under Web services in e-science and business domains. While data usage and selection are dependent on different constraints established on the basis of several data concerns, for example, quality of data and data privacy, existing data service...
This paper presents a cloud computing architecture for discrete event system modeling and simulation. Simulators with models used in the cloud computing are considered as web services which are accessed via web browser. This environment supports the simulation of homogeneous or heterogeneous models without much knowledge of discrete event modeling and simulation.
Software as a service (SaaS) is an emerging software framework in which business data and logic typically integrate with other applications. It requires a unified subscriber to describe SaaS to make for easy integration, however, SaaS provides services to different tenants by running only one instance. In order to satisfy personalized needs from different tenants, the business logic becomes correspondingly...
Paper deals with the design issues of an e-Learning Computational System based on a Task Management Model. One of the main components of the proposed e-Learning Computational Cloud is the Controller acting as an Enterprise Service Bus (ESB) for absolute Model abstraction from outside references. Simultaneously, View is completely decoupled from Model and ultimate privacy and security is achieved for...
During the past few years much effort has been put into developing community-based methods to capture and analyse a large amount of data in a systematic manner. The concept of crowd-sourcing (also known as citizen science) becomes quite popular. This is mainly due to its distributed service orientation and its group intelligence problem solving production model. Parallel to this emerging technology,...
A significant proportion of e-Learning services are delivered through Cloud Computing. These use Web services as an interface integrator to support communication across heterogeneous platforms over internet protocols. Similarly, a high level of task collaboration is needed to form an e-Learning community. Therefore, we propose an e-Learning Computational Cloud (eLC2) based on the Model-View-Controller...
Autonomic Computing Systems are systems which are capable of adapting themselves to changes in their working environment in order to maintain required service level agreements, protect the execution of the system from external attacks or prevent and recover from failures. Within the field of autonomic computing, autonomic systems are developed as control loops which monitor and analyze the execution...
The following topics are dealt: cyber engineering; human space computing; distributed networks; security and privacy; heterogeneous wireless networks; resource management; security in wireless systems; web services; web and mobile applications; data models and query processing; performance evaluation and testing; SOA and embedded systems; middleware; cloud computing; RFID; wireless sensor networks;...
Popular web services and applications such as Google Apps, DropBox, and Go.Pc introduce a wasteful imbalance of processing resources. Each host operated by a provider serves hundreds to thousands of users, treating their PCs as thin clients. Tapping the processing, storage and networking capacities of these non-dedicated resources promises to reduce the size of required hardware basis significantly...
The growth of the Internet has dramatically changed the way information is accessed and managed. The Web contains an ever growing amount of distributed, semi-structured and uncontrolled data. In this new context, we should rethink how applications couple with DBMSs. Corporate intranets allowed a tiered coupling between applications and databases. However, that model is still too constrained, and unable...
The Internet evolved to a generic platform and became a fully pervasive infrastructure providing services anywhere and anytime. The development of the cloud allows the assumption that every needed service has already been implemented. The authors argue that this technical viewpoint needs to be enlarged by service science aspects, where technology is only one perspective beside others like new business...
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