The contribution aims to investigate, from the perspective of the private law scholar, the complex issue of cloud computing. The author dwells on the potential of this technology not only for the ...benefit of users and businesses, but also for the service of the public administration in the declared perspective of the search for a sustainable digital environment. Next, the author analyses, in light of the recent European legal innovations, the main problems, with particular focus on the protection of personal data entrusted to the cloud, trying to hypothesise a new key to interpretation in order to propose new contractual models and reach a renewed responsibility of the cloud service providers.
In the process of resource allocation in the cloud service system, the failure of the resource node could cause the failure of cloud service. It not only reduced the quality of service, but produced ...a lot of “extra” energy consumption. Based on this problem, the paper proposed a reliable resource supply scheme for cloud service, on the basis of reliable resource supply, constructed the cloud service adaptive frame Cloud_RRSSF. The framework can provide adaptive adjustment of cloud service according to specific conditions when the user supply or service abnormality occurs. The experimental results showed that the Cloud_RRSSF proposed in this paper can provide reliable resource supply, it can also efficiently reduce the consumption of the data center.
•To research, the reliability and high energy consumption in CSS is the key problem that needs to be solved. Most of the existing research works only take one aspect and neglects their interconnections. Therefore, the relationships among reliability, performance and energy has been researched in this paper.•A reliable resource supply-based cloud service adaptive framework was proposed which can separately provide on-demand, dynamic composite services and reliable resource supply for users and cloud services.•Directed at the heterogeneous, complex and fragile working environment in CSS, the paper has proposed a reliable service-resource combination mechanism to improve the service capability and realize the dynamic of the overall service area.•For ensuring the rapid resource allocation, the paper has designed a QoS-based resource node classifier (QoS_Classifier) to classify the resource attributes of CSS.•The reliability, performance and energy consumption are taken as multi-object-comprehensive factors when allocating resources for cloud services. The paper has built a virtualized service resources organization model and realized resource allocation strategy for multi-objective optimization.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Video streams, either in the form of Video On-Demand (VOD) or live streaming, usually have to be converted (i.e., transcoded) to match the characteristics of viewers' devices (e.g., in terms of ...spatial resolution or supported formats). Transcoding is a computationally expensive and time-consuming operation. Therefore, streaming service providers have to store numerous transcoded versions of a given video to serve various display devices. With the sharp increase in video streaming, however, this approach is becoming cost-prohibitive. Given the fact that viewers' access pattern to video streams follows a long tail distribution, for the video streams with low access rate, we propose to transcode them in an on-demand (i.e., lazy) manner using cloud computing services. The challenge in utilizing cloud services for on-demand video transcoding, however, is to maintain a robust QoS for viewers and cost-efficiency for streaming service providers. To address this challenge, in this paper, we present the Cloud-based Video Streaming Services (CVS2) architecture. It includes a QoS-aware scheduling component that maps transcoding tasks to the Virtual Machines (VMs) by considering the affinity of the transcoding tasks with the allocated heterogeneous VMs. To maintain robustness in the presence of varying streaming requests, the architecture includes a cost-efficient VM Provisioner component. The component provides a self-configurable cluster of heterogeneous VMs. The cluster is reconfigured dynamically to maintain the maximum affinity with the arriving workload. Simulation results obtained under diverse workload conditions demonstrate that CVS2 architecture can maintain a robust QoS for viewers while reducing the incurred cost of the streaming service provider by up to 85 percent.
With the rapid development of cloud computing paradigm and mobile devices, the number of cloud services and user interest data are growing explosively. It becomes harder for users to find suitable ...cloud services within satisfying response time. Thus a suitable cloud service automatic recommendation system is needed to solve the above problem. In this work, we propose KG2Rec, a novel recommendation method based on Knowledge Graph to provide users with appropriate recommendations to meet their real-time needs. The property-specific knowledge graph model is designed to model user–item and item–item bipartite relations. Based on the property-specific knowledge graph model, property-specific user–item relation features can be mined from it. Then the user–item relation features will be integrated into an improved collaborative filtering algorithm based on the local sensitive hash technique for Top-N item recommendation. Finally, we evaluate the proposed method in terms of Top-N recommendation on the MovieLens dataset, and prove it outperforms numbers of state-of-the-art recommendation systems. In addition, we prove it has well performance in term of long tail recommendation and big data processing.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. Cloud computing has emerged as a new technology that has got huge potentials in enterprises ...and markets. Clouds can make it possible to access applications and associated data from anywhere. Companies are able to rent resources from cloud for storage and other computational purposes so that their infrastructure cost can be reduced significantly. Hence there is no need for getting licenses for individual products. Cloud Computing offers an interesting solution for software development and access of content with transparency of the underlying infrastructure locality. The Cloud infrastructure is usually composed of several data centers and consumers have access to only a slice of the computational power over a scalable network. The provision of these computational resources is controlled by a provider, and resources are allocated in an elastic way, according to consumers’ needs. However one of the major pitfalls in cloud computing is related to optimizing the resources being allocated. The other challenges of resource allocation are meeting customer demands and application requirements. In this paper, modified round robin resource allocation algorithm is proposed to satisfy customer demands by reducing the waiting time.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
During the period of total lockdown caused by COVID-19 pandemic, teachers had to move to distance learning to organize a continuous educational process, which is not possible without the active use ...of modern information and communication technologies, including cloud services. Because of this, at the beginning of the pandemic, Zhytomyr Polytechnic State University conducted several free distance online courses for teachers, which included studying the possibilities of using cloud technologies in teaching in a pandemic. Somewhat later, some secondary schools in Zhytomyr expressed a desire to take the same courses, but in person. 98 teachers of schools of the city of Zhytomyr were covered by training on courses ``Cloud technologies in the educational process in the conditions of quarantine''. After face-to-face courses, teachers in Zhytomyr schools have significantly increased their competence in the use of cloud technologies in the educational process in the context of the COVID-19 pandemic. Not only has their level increased in general, but the horizons regarding the variety of cloud services that should be used in distance learning have expanded. Course training, organized according to scientifically sound methods, helps to increase the motivation of students (teachers) to self-study, as well as to the future use of cloud technologies in the educational process.
Despite the proliferation of cloud resource orchestration frameworks (CROFs), DevOps managers and application developers still have no systematic tool for evaluating their features against desired ...criteria. The authors present generic technical dimensions for analyzing CROF capabilities and understanding prominent research to refine them.
Traditional computer network design decisions are changing. There are several reasons: the technologies themselves that are used in networks have changed, the general concept for designing network is ...considered for a network infrastructure, in which services are considered an integral part of the network; the general approach to describing the network has changed from component to object and service, new solutions have appeared for transferring services to virtual and cloud spaces. The trends of ongoing changes are considered and real solutions are described when designing a change in the infrastructure of a computer network. Trends are considered on the example of networks with different scales. As a result, the changed network design paradigm is reduced to four areas: network design for on-premises network, network design for virtualization approaches, large network design for cloud services, and LAN design for personal space.
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