Analysis of the Impact of Internet Finance on Banking Industry Development

Cloud computing and big data: Technologies and applications

The internet financial model is booming in the era of big data, and gradually penetrates into all aspects of people's lives. With the continuous development of network technology, under the background of big data, people's living standards are constantly improving, and higher requirements are put forward for the quality of life. In order to promote the sustainable development of the internet finance industry, seize the opportunity and strengthen itself in the era of big data, the internet finance industry needs to uphold the development concept of pluralism and openness. Internet finance has played a positive role in improving the efficiency of financial services and formed a new payment method. With the help of big data, internet finance is constantly innovating Internet financial products, while some risks are amplified under the background of financial big data. On the basis of expounding the concepts of big data and Internet financial risks, this paper provides a method for the construction of Internet financial risk control model based on data envelopment analysis and the main forms of Internet financial risks.

With the rapid development of Internet technology, modern society has entered an unprecedented stage of development. All industries have applied Internet technology to their own business processes, and the Internet finance model has developed into an overwhelming financial model. The rapid development of China's economy is inseparable from the contribution of the Internet finance model, but the Internet financial model has brought many influences to the insurance industry in China. From the perspective of Internet finance, this paper analyzes the present situation and risks of insurance network marketing in China, and puts forward corresponding development Suggestions.

Research on financial risk management model of internet supply chain based on data science

In recent years, with the development of e-commerce, Internet financial model continuously develops and flourishes, especially the "financial online"， this pattern develops rapidly. The rapid development of this kind of financial model brought a huge challenge to the traditional banking sector, this challenge greatly influence on state-owned commercial banks. This paper first describes the development of the Internet financial status and third-party payment, such as Internet banking and Internet banking sales of the main characteristics and how to operate. Then by using the SWOT method to analyze the state-owned commercial banks facing in the Internet financial mode of strengths, weaknesses, opportunities and challenges. Finally from enlarging advantages, avoiding disadvantages and traditional bank financial models and new financial aspects put forward the mutual fusion of commercial banks in the context of the Internet financial strategies and prospects for development.

This paper presents the solution to Google App Engine using in mobile cloud computing, based on the analysis of key issues in the mobile message board system which combined with related technology of mobile Internet and cloud computing. And on this basis, the design, development and deployment of a Mobile Web message board system using Google App Engine has been done. It achieves the integration of mobile Web applications and cloud computing. Index Terms - mobile cloud computing; GAE; WAP2.0

Mobile Cloud Computing (MCC) is a combination of three main parts; they are mobile device, cloud computing and mobile internet. With the help of MCC, a mobile user gets a rich application delivered over the Internet. The capabilities of mobile devices have been improving quickly than computers. Many researchers focus on the area of mobile computing and cloud computing. Cloud computing is the trend in which resources are provided to a local client on an on-demand basis, usually by means of the internet. Mobile cloud computing (MCC) is simply cloud computing in which at least some of the devices involved are mobile. This paper goes over multiple techniques and methods for mobile cloud computing. It explores both general-purpose mobile cloud computing solutions and application-specific solutions. It also discusses instances of mobile cloud computing where mobile devices serve as the cloud rather than the client. Finally it discusses some issues raised by this technology such as privacy and data ownership.

The unabated flurry of research activities to augment various mobile devices by leveraging heterogeneous cloud resources has created a new research domain called Mobile Cloud Computing (MCC). In the core of such a non-uniform environment, facilitating interoperability, portability, and integration among heterogeneous platforms is nontrivial. Building such facilitators in MCC requires investigations to understand heterogeneity and its challenges over the roots. Although there are many research studies in mobile computing and cloud computing, convergence of these two areas grants further academic efforts towards flourishing MCC. In this paper, we define MCC, explain its major challenges, discuss heterogeneity in convergent computing (i.e. mobile computing and cloud computing) and networking (wired and wireless networks), and divide it into two dimensions, namely vertical and horizontal. Heterogeneity roots are analyzed and taxonomized as hardware, platform, feature, API, and network. Multidimensional heterogeneity in MCC results in application and code fragmentation problems that impede development of cross-platform mobile applications which is mathematically described. The impacts of heterogeneity in MCC are investigated, related opportunities and challenges are identified, and predominant heterogeneity handling approaches like virtualization, middleware, and service oriented architecture (SOA) are discussed. We outline open issues that help in identifying new research directions in MCC.

Wu, Y.; Wu, P., and Ma, W., 2020. The inclusive reform of rural finance in eastern coastal areas under the background of internet finance and its promotion to fishery economy. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 31-34. Coconut Creek (Florida), ISSN 0749-0208.Since entering the 21st century, with the development of Internet and information technology, Internet finance has deeply affected all aspects of society. Compared with traditional financial services, the Internet financial model is novel, easy to operate, time-saving and labor-saving. It has become the main driving force to promote the development and reform of the financial industry. Marine fishery is a labor-intensive industry, which plays an important role in deepening the adjustment of fishery structure, expanding the export of agricultural products to earn foreign exchange, broadening rural employment channels and promoting the construction of small towns. Under the current new situation of inclusive financial reform in the eastern coastal rural areas, how to promote the development of local fishery economy is an important issue to be faced with. Based on this, this paper studies the inclusive reform of rural finance in the eastern coastal areas under the background of Internet finance and its promoting effect on fishery economy. Some suggestions are put forward for deepening the reform of inclusive rural finance in the new era.

Recently the cloud computing technology has emerged as a new information technology infrastructure for the fast developing IT industry. In cloud computing, information is permanently stored in large-scale data centers on the Internet all over the world and temporarily accessed and cached on clients including desktops and portable PCs, sensors, etc. With the “cloud” as a metaphor for the Internet, cloud computing promises to deliver massively scalable IT-enabled data, software, and hardware capabilities as a service to external clients with Internet accesses. And the highly scalable computation capability of the cloud data centers can further assist and accelerate most of our computation intensive services and works effectively. Therefore the cloud computing has been envisioned as the key technology to achieve economies of scale in the deployment and operation of IT solutions. Regarding recent advances in mobile communication technologies, a new wave of user demands for rich mobile service experience has been fueled. Mobile users always expect broadband Internet access wherever they go, interact with each other via social networks while moving; furthermore, they are seeking ubiquitous access to a wealth of media-based contents and services. Because mobile devices are resource limited inherently, it is essential for the cloud to provide computational support for many media-rich applications. The combination of mobile media and cloud computing highly arises many technical challenges, and the fundamental tension between resource-hungry multimedia streams and power-limitedmobile devices has to be resolved. The effort for providing a universal rich-media experience across any screen is typically hindered by the heterogeneity amongst ever-evolving mobile devices, as manifested in their different physical form factors, middleware platforms, and interactive functions. Furthermore the developments of innovative pervasive mobile services, e.g., mobile video streaming, rich media dissemination, surveillance, gaming, e-health care, etc., can be greatly facilitated by Mobile Cloud Computing (MCC) platform employing emerged and emerging technologies. This issue consists of five papers addressing the various aspects ofMCC, such as mobile cloud computing services and applications, mobile cloud gaming, integration of MCC with Cyber-Physical Systems (CPS), as well as the relationship between cloud computing and big data. The issue opens with a comprehensive survey on diverse ways of combining cloud computing and mobile platforms towards a new computing/ communications paradigm. In “Mobile Cloud Computing: A Survey, State of Art and Future Directions”, M. R. Rahimi et al. provided a complete survey on the field of MCC on its state of art applications, research challenges, opportunities and future research directions. The typical MCC applications are discussed, such as mobile learning, commerce, healthcare and social networks. The authors further identify research gaps from three critical aspects from enhancing the efficiency of task offloading to improve the business model, and the research challenges and opportunities are made clear within the context of the existing schemes. In the paper “ACloudlet-AssistedMultiplayer Cloud Gaming System” by W. Cai et al., the authors proposed a novel cloudlet-assisted multiplayer cloud gaming system, in which the mobile devices are connected to the cloud server for realtime interactive game videos, while sharing the received video M. Chen (*) Huazhong University of Science and Technology, Room 410, Building Southern No. 1, 1037 Luoyu Road, Wuhan 430074, China e-mail: minchen@ieee.org

The computing capability of mobile systems is enhanced by cloud computing. Mobile devices can rely on cloud computing to perform computationally intensive operations such as data mining and searching. Mobile cloud computing refers to the availability of cloud computing services in a mobile environment. It is a combination of mobile networks and cloud computing, providing optimal services for mobile users. The use of mobile cloud computing overcomes performance-related obstacles, such as bandwidth, storage capacity, and battery life, as well as environment-related issues like availability, scalability, and heterogeneity. Security threats have become obstacles in the rapid adaptability of the mobile cloud computing paradigm, and there is a significant risk associated with migrating storage and data processing from mobiles to clouds. User privacy and the integrity of data and applications are key concerns that most cloud providers prioritize. This paper reviews the concept of mobile cloud computing and the security issues inherent within the context of mobile applications and cloud computing. It analyzes and compares various possible approaches proposed by researchers to address security and privacy issues in MCC. Despite widespread adoption, challenges like interoperability and standardization persist. Ongoing efforts focus on establishing common protocols, while research explores integrating technologies like edge computing and AI to enhance mobile cloud capabilities. This paper examines the dynamic landscape of MCC, addressing security concerns and exploring advancements and challenges, contributing to ongoing discussions on optimization, security, and the future of mobile cloud computing. As the field continues to evolve, researchers are actively working on developing comprehensive frameworks that not only address current security challenges but also anticipate and mitigate emerging threats in the ever-changing landscape of mobile cloud computing.

In today’s fast moving world, mobile devices such as smartphones, tablets, and other PDAs are a central component in achieving effective and convenient communication. In today fast developing world of IT and commerce, the growth of mobile computing (MC) has become a force to be reckoned with. However, it is not without its own set of challenges; these devices are dependent on battery life span, storage, bandwidth, and security and mobility. These challenges have slowed down the growth of the service quality of these devices. The intrinsic challenges of mobile computing are being overcome by imputing and saving data in cloud computing. It is done by using various service providers aside from the mobile device service providers for hosting the mobile applications’ delivery. Mobile cloud computing is a branch of cloud computing and it provides ease of use and mobility to its users. Mobile cloud computing is described as services of cloud computing that are available in mobile environment. This study offers thorough knowledge of the capabilities and challenges faced in mobile cloud computing.

Middleware to Integrate Mobile Devices, Sensors and Cloud Computing

In order to improve the effect of modern enterprise financial management, this paper improves the mobile cloud computing resource scheduling algorithm under the 5G network architecture. Moreover, this paper introduces mobile edge cloud computing, MEC server, into the financial 5G network system model. Taking into account the possible multihop RSU transmission of the calculation result back, this paper expresses the delay composition of the calculation task on the local execution and offloading to the MEC server in the form of a formula and proposes an offloading strategy based on the MEC load status. On this basis, this paper constructs a mobile cloud computing optimization system under the 5G network architecture and designs experiments to evaluate the performance of the system proposed in this paper. From the experimental research, we can see that the enterprise financial management optimization system based on mobile cloud computing under the 5G network architecture proposed in this paper has good effects in the optimization of corporate financial management.

The mobile cloud computing (MCC) is one of the emerging fields in the distributed computing. MCC is an integration of both mobile computing and cloud computing. The limitations of the mobile devices are storage, battery and processing proficiency.These sensitive characteristics of mobile devices can be effectively handled with the introduction of cloud computing. The increasing functionality of the cloud and complexity of the applications causes resource failures in the cloud computing and it reduces the overall performance of the MCC environment. On the other hand, the existing approaches for resource scheduling in MCC proposed several architectures and they are only concentrated on the allocation of resources. The existing architectures are lack of fault tolerance mechanism to handle the faulty resources. To overcome the issues stated above, this paper proposes architecture for fault tolerance in MCC using Disease Resistance approach (DRFT). The main aim of the DRFT approach is to effectively handle the faultyVMs in the MCC. This DRFT approach utilizes the human disease resistance mechanism which is used as materials and methods in the proposed model. The DRFT is capable of identifying the faulty virtual machines and reschedules the tasks to the identified suitable virtual machines. This procedure ultimately leads to minimization of makespan value and it improves the overall performance of the scheduling process. To validate the effectiveness of the proposed approach, a series of simulations has been carried out using CloudSim simulator. The performance of the proposed DRFT approach is compared with the Dynamic group based fault tolerance approach (DGFT-approach). The makespan value of DRFT is reduced to 7% and the performance of DRFT is increased when compare to the DGFT approach. The experimental results show the effectiveness of the proposed approach.