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Trust and reputation systems represent a significant trend in decision support including selection of best match cloud providers to process Big Data. Reputation is often considered as a collective measure of trustworthiness based on the referrals or ratings from members in a community. Reputation systems have been applied in various applications such as online service provision. However, reputation...
Prediction of Quality of Service (QoS) values plays an important role in service selection, discovery, and recommendation. Previous works show that the QoS values would be influenced by the location information. However, these researches do not consider the fact that some users may provide untrustworthy QoS values even though they are in the same location region. QoS values from these unreliable users...
In the process of big data analysis and processing, a key concern blocking users from storing and processing their data in the cloud is their misgivings about the security and performance of cloud services. There is an urgent need to develop an approach that can help each cloud service provider (CSP) to demonstrate that their infrastructure and service behavior can meet the users' expectations. However,...
Cloud Computing infrastructures are being increasingly used for running business process activities due to its high performance level and low operating cost. The enterprise QoS requirements are diverse and different resources are offered by Cloud providers in various QoS-based pricing strategies. Furthermore, business process activities are constrained by hard timing constraints and if they are not...
Cloud Computing, as a distributed computingparadigm, consists in provisioning infrastructure, software, andplatform resources as services. This paradigm is being increasinglyused for the deployment and execution of servicebasedapplications. To efficiently manage them according to theautonomic computing paradigm, service-based applications canbe associated with autonomic manager (AM) components thatmonitor,...
One of the most interesting research directions in service computing is to leverage current recommendation system solutions to suggest web services for a mashup application. Existing approaches are mainly based on collaborative filtering techniques, which can suffer from the heavy rely on human input, data sparsity and cold start issues, resulting in low accuracy. In this paper, we leverage advanced...
QoS aware service composition necessitates an effective pricing mechanism in regulating service providers in public cloud computing environments. However, due to the fact that service providers are usually autonomous, strategic and self-motivated, it is far from trivial to deal with the pricing issues between them. In this paper we formulate a non-cooperative service pricing game to understand the...
Industrie 4.0 introduces a concept of digitalized production by allowing agile and flexible integration of new business models while maintaining manufacturing costs and efficiency at the reasonable level. In addition, cloud computing is one of the IT trends that is used nowadays to offer services on demand from a virtual environment in enterprise and office areas. The use of cloud computing in an...
Optimization models for railway traffic rescheduling in the last decade tend to develop along two main streams. On the one hand, train scheduling models strive to incorporate any relevant detail of the railway infrastructure having an impact on the feasibility and quality of the solutions from the viewpoint of infrastructure managers. On the other hand, delay management models focus on the impact...
Nowadays, cloud computing is hard to effectively sustain the implementation of the commercial model of Internet Service globalization. There is a growing trend to build an environment of cloud service, with the capacity to serve anytime and anywhere, by mutual cooperation between cloud service providers around the world. However, this tendency will raise a key issue which is how to provide a benign...
The paper formulates methods to measure the trustsworthiness of a network system S under hostile environment conditions incident on S. How good is the system S in meeting the QoS expectations of applications (i.e. the QoS capability of S) is quantitatively measured — say on a [0,1] scale. We employ model-based assessment tools (e.g. PO-MDP) to benchmark the QoS capability by stress-testing S with...
Markov-modulated Poisson Process (MMPP) has been extensively studied in random process theory and widely used as a network traffic model. Most methods for estimating MMPP parameters are based on the exact arrival times. Nevertheless, in many applications it is costly to record the exact time of each arrival. Instead, we only record the number of arrivals in fixed-length time slots, which is called...
Cloud computing is an emerging business computing model whose basic idea is to transmit all kinds of resources through the Internet such as storage resources, computing resources, bandwidth and so forth. So users do not need to purchase a large of computing systems to manage their business, on the contrary they only need to purchase the resources according to their needs in order to reduce the cost...
The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated...
Joint cloud computing (JointCloud), as a brand-new paradigm of cloud computing, aims at building a cloud ecosystem, in which end users are agnostic to cloud service vendors as applications and services are built upon virtual clouds. In case of low quality cloud resources provided deliberately and in order to facilitate the persistent and sound development of JointCloud ecosystem, we propose a dynamic...
This article is devoted to theoretical substantiation and development of efficient hardware and software system based on the concept of cloud computing with the use of modern means of telecommunication and communication. Models of user access to IS resources with multimedia applications are designed and presented in the article, they enable us to investigate and optimize load management, to improve...
The Fast ReRoute flow-based model has been improved, where the node and link protection schemes in the linear form were formulated with the implementation of single path and multipath routing strategies. The use of linear-quadratic optimality criterion was substantiated, and the system hierarchy relations of weight coefficients in the objective function were determined with the aim to ensure maximum...
In this paper we present a system architecture for trust management inspired by a human model for the evaluation of trust. We focus on large-scale marketplaces for diverse software resources and services. In such marketplaces, user agents (consumer, provider and broker) are largely autonomous with vastly diverse requirements, capabilities, and trust preferences. We hypothesize the need for personalized...
Middleboxes present new requirements that need to be integrated with traffic engineering applications that are already complex and consider myriad factors (e.g., routing, QoS, load-balancing). While it is possible to revisit traffic engineering algorithms to explicitly integrate middleboxes, such an approach is not compositional. Existing efforts at compositional SDN application development do not...
In this paper we propose a mathematical model of the functioning of network device with virtual routers. This model allows to decrease the mutual influence of the parametric effects of different types of traffic in the network node, as well as to estimate the quality of service by decomposition of a structure of network node and mathematical modeling based on queueing theory. To verify the proposed...
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