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The significant growth in cloud computing has led to increasing number of cloud providers, each offering their service under different conditions – one might be more secure whilst another might be less expensive or more reliable. At the same time user applications have become more and more complex. Often, they consist of a diverse collection of software components, and need to handle variable workloads,...
The cloud computing ecosystem comprises hundreds of providers, offering diverse computing services, incompatible APIs, and significantly different pricing models. Cloud application management platforms hide the heterogeneity of the services and APIs, allowing, to varying degrees, portability between providers. These tools remove technical barriers to switching providers, but they do not provide a...
The Internet of Things (IoT) is announced to swamp the world. In order to understand the emergent behaviour of connected things, effective support for the modelling of connection and failure probabilities, execution and waiting times, as well as resource consumptions of various kinds is needed. At the heart of IoT are flexible and adaptive communication and interaction patterns between things, meant...
Faced with the unrelenting traffic growth and rising costs, access ISPs (Internet Service Providers) realize that their traditional revenue model of flat subscription fees is unsustainable. Regulatory concerns, e.g., about content-specific charging, constrain the ISPs' search for new revenue sources. This paper analyzes a revenue model where an access ISP acts as a publisher of ads to users who explicitly...
Blockchain is of rising importance as a technology for engineering applications in cross-organizational settings, avoiding reliance on central trusted third-parties. The use of blockchain, instead of traditional databases or services, is an architectural choice in the development of a software system. The costs of execution and storage are important non-functional qualities, but as yet very little...
The hybrid cloud infrastructure is predominantly used in both industry and academia for its reusability and scalability. In deadline-constrained applications, the estimation of application execution time is a challenging task. The factors like heterogeneity, uncertainty and provisioning time delays affect the performance of hybrid cloud environment. In this work, we proposed a hybrid cloud scheduler...
The cloud computing ecosystem comprises hundreds of providers, offering diverse computing services, incompatible APIs, and significantly different pricing models. Cloud application management platforms hide the heterogeneity of the services and APIs, allowing, to varying degrees, portability between providers. These tools remove technical barriers to switching providers, but they do not provide a...
Grid computing, was developed by computer scientists in the mid 1990's based on ease of use and access geographically distributed resources which are dynamic and heterogeneous for solving difficult problems. These distributed resources are owned by different organizations. Grid computing provides a framework for parallel/distributed computing. For developing a grid, low-level services (secure access...
Process algebra have been effectively exploited for modeling and verifying functional aspects of services composition, but non-functional aspects have not been given enough care due to process algebra lacking of capability of modeling them. In this paper, we propose a novel process algebra called PTPA that incorporates price and cost. We present syntax and semantics of PTPA. And an algorithm is proposed...
Component composition method has always been an essential issue in the field of modeling and simulation (M&S). Discrete Event System Specification (DEVS) is a traditional way to solve this problem. However, as the advancement of information technology including grid and cloud, DEVS encounters its shortcoming in the aspects of network reuse and composition definitions. To tackle this issue,...
Nowadays, many companies expose their competencies as services on the Internet to facilitate the cooperation with their customers. This situation has created a new marketplace where services have been provided with similar functionality but different qualities such as cost, performance, and reliability. In this scenario, service composition providers have faced the challenge of choosing services that...
We present a method and a tool for devising adaptation plans for the deployment of software applications on cloud computing infrastructure comprising a combination of reserved and "pay-as-you-go" resources. Starting from a trace log that represents the expected workload pattern of the application, we exploit queuing theory results to synthesize an adaptation plan that manages the cloud elasticity...
Cloud computing is a paradigm that offers on-demand scalable resources with the “pay-per-usage” model. Price rises linearly as the resources scale. However, the main challenge for cloud customers is whether the performance is also scaling as the price for the resources. In this paper we analyze both the performance and the cost of a memory demanding web service. The experiments are based on measuring...
Cloud computing is a paradigm that offers on-demand scalable resources with the “pay-perusage” model. Cloud service providers' price rises linearly as the resources scale. However, the main challenge for the cloud customers is “Does the performance scale as the price for the rented resources in the cloud”? Also, how does the performance scales for different server load? In this paper we analyze the...
Route backtracking has been applied in many fields, especially in tracing criminal cars. However, because of weak light, shading or shelter, plate numbers are unable to be recognized and the vehicle cannot be traced. So, this paper put forwards a route backtracking method based on video data and road network. the method get routes information by means of vehicles features extraction and matching method...
In Usage CONtrol (UCON) access decisions rely on mutable attributes. A reference monitor should re-evaluate security policies each time when attributes change their values. Catching timely all attribute changes is a challenging issue, especially if the attribute provider and the reference monitor reside in different security domains. Some attribute changes might be missed, corrupted, and delayed....
The mission reliability of a multiple working mode system is subject to the changes of working modes adopted during phases of different missions, which can be improved through optimization of the working mode strategies under different system states. In this paper, a computing method is proposed for the mission reliability and the mission cost of a multiple working mode system within the planned time...
Public e-services are very important to improve the communication among citizens and businesses on the one hand and government on the other hand. In this paper we present public e-service cost-benefit analysis methodology for assessing tangible and intangible costs and benefits. Our methodology is incorporated in the service lifecycle defined by SPIS methodology customized for e-service development...
With the promise on-demand compute/storage resources, many users are deploying data-intensive scientific applications onto Clouds. To accelerate these applications, the prospect of caching intermediate data using the elastic compute and storage framework has proved promising. To this end, we believe that an in-depth study of cache placement decisions over various Cloud storage options would be highly...
Resource management and scheduling using economic-based principles and market-oriented models have been proven to be useful for scheduling tasks in Computing Grid. However, most studies only focus on the single objective of either cost or makespan. In this paper, we consider both cost and makespan, and focus on scheduling parallel tasks from Grid users considering a commodity market. A cost and time...
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