A Novel Architectural Model for Dynamic Updating and Verification of Data Storage in Cloud Environment

2021 ◽  
Vol 13 (4) ◽  
pp. 75-83
Author(s):  
Dharmendra Singh Rajput ◽  
Praveen Kumar Reddy M. ◽  
Ramasubbareddy Somula ◽  
Bharath Bhushan S. ◽  
Ravi Kumar Poluru
Keyword(s):  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
It Industry ◽  
Multiple Data ◽  
Data Control ◽  
Cloud Service Providers ◽  
Multiple Copies ◽  
Dynamic Updating

Cloud computing is a quickly emerging computing model in the IT industry. Due to the rapid increase in technology, many clients want to store multiple copies of the same data in multiple data centers. Clients are outsourcing the data to cloud service providers and enjoying the high quality of service. Cloud service providers (CSP) are going to charge extra amounts for storing multiple copies; CSP must provide the firm guarantee for storing multiple copies. This paper proposes a new system model for storing and verifying multiple copies; this model deals with identifying tarnished copies which are transparent for the clients. Also, it deals with dynamic data control in the cloud with optimal results.

scholarly journals Selection of optimal data placement using cloud infrastructure

2021 ◽  
pp. 34-42
Author(s):  
Vladimir Meikshan ◽  
◽  
Natalia Teslya ◽  
Keyword(s):  
Mathematical Model ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Information Storage ◽  
Cloud Infrastructure ◽  
Digital Ecosystem ◽  
Cloud Service Providers ◽  
The Cost

Benefits of using cloud technology are obvious, their application is expanding, as a result, it determines the steady growth of demand. Cloud computing has acquired particular relevance for large companies connected with Internet services, retailing, logistics that generate large volume of business and other information. The use of cloud technologies allows organizing the joint consumption of resources, solving the problems of storing and transferring significant amounts of data. Russian consumer cooperation refers to large territory distributed organizations actively forming their own digital ecosystem. The issue of data storing and processing for consumer coo-peration organizations is very relevant. At the same time, the prices of cloud service providers are significantly different and require solving the problem of minimizing the cost of storing and transferring significant amounts of data. The application of the linear programming method is considered to select the optimal data storage scheme for several cloud service providers having different technical and economic parameters of the package (maximum amount of storage, cost of allocated resources). Mathematical model includes the equation of costs for data storing and transferring and restrictions on the amount of storage, the amount of data and its safety. Software tool that allows to perform numerical calculations is selected Microsoft Excel in combination with the "search for solutions" add-on. In accordance with the mathematical model, the conditions for minimizing the amount of cloud storage costs and the necessary restrictions are established. Initial data are set for three data forming centers, storages of certain size for five cloud service providers and nominal price for information storage and transmission. Calculations of expenses are performed in several variants: without optimization, with the solution of the optimization problem, with price increase by cloud service providers. Results of the calculations confirm the necessity to solve the problem of minimizing the cost of cloud services for corporate clients. The presented model can be expanded for any cost conditions as well as for different areas of cloud applications.

Examining Communication Technologies of IoT for Best QoS

2018 ◽  
pp. 264-276
Author(s):  
Jayashree K ◽  
Babu R ◽  
Chithambaramani R
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Communication Technologies ◽  
Industry Sector ◽  
Cloud Service Providers ◽  
The Internet Of Things ◽  
Excessive Number ◽  
The Web

The Internet of Things (IoT) architecture has gained an increased amount of attention from academia as well as the industry sector as a significant methodology for the development of innovative applications and systems. Currently, the merging of this architecture with that of Cloud computing has been largely motivated by the need for various applications and infrastructures in IoT. In addition to this, the Cloud ascends as an eminent solution that would help solve various challenges that are faced by the IoT standard when varied physical devices. There are an excessive number of Cloud service providers the web along with many other services. Thus, it becomes critical to choose the provider who can be efficient, consistent, and suitable, and who can deliver the best Quality of Service (QoS). Thus, this chapter discusses QoS for cloud computing and IoT.

A mixed ideal and anti-ideal DEA model: an application to evaluate cloud service providers

2019 ◽  
Author(s):  
Majid Azadi ◽  
Mohammad Izadikhah ◽  
Fahimeh Ramezani ◽  
Farookh Khadeer Hussain
Keyword(s):  
Service Providers ◽  
Rapid Development ◽  
Cloud Service ◽  
Data Envelopment ◽  
Ranking Methods ◽  
Discrimination Power ◽  
Cloud Service Providers ◽  
Complete Ranking ◽  
Selection Of

Abstract The rapid development of cloud computing and the sharp increase in the number of cloud service providers (CSPs) have resulted in many challenges in the suitability and selection of the best CSPs according to quality of service requirements. The main objective of this study is to propose three novel models based on the enhanced Russell model to increase the discrimination power in the evaluation and selection of CSPs. The proposed models are designed based on the distances to two special decision-making units (DMUs), namely the ideal DMU and the anti-ideal DMU. There are two advantages to the proposed ranking methods. First, they consider both pessimistic and optimistic scenarios of data envelopment analysis, so they are more equitable than methods that are based on only one of these scenarios. The second strength of this approach is its discrimination power, enabling it to provide a complete ranking for all CSPs. The proposed method can help customers to choose the most appropriate CSP while at the same time, it helps software developers to identify inefficient CSPs in order to improve their performance in the marketplace.

The Role of Individualization and Project Learning for Cloud Service Profitability

2018 ◽  
Vol 16 (2) ◽  
pp. 64-82
Author(s):  
Alexander Herzfeldt ◽  
Thomas Wolfenstetter ◽  
Christoph Ertl ◽  
Helmut Krcmar
Keyword(s):  
Service Delivery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
It Industry ◽  
Project Learning ◽  
Delivery Costs ◽  
Cloud Service Providers ◽  
The Impact

This article describes how cloud computing has been one of the most important IT topics in recent years. In increasingly greater numbers, service providers have entered this dynamic market turning it into one of the most competitive markets in modern IT industry. As the market matures, many providers are struggling with profitability issues. Studies on cloud services have primarily approached the topic from a technical or customer's perspective, neglecting the provider's perspective. In this article, the authors address business aspects of cloud services from the provider's perspective. Based on an empirical study of 78 cloud service providers, they analyse the impact of service individualization and project learning on service delivery cost and profitability. The results indicate that while project learning merely helps to reduce service delivery costs, service individualization positively affects profitability.

CLOUDSME

2021 ◽  
pp. 442-459
Author(s):  
Richard Otuka
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Adoption Process ◽  
Semantic Model ◽  
Service Adoption ◽  
Cloud Service Providers ◽  
Saas Cloud ◽  
Service Attribute

Presently, SMEs are finding it difficult to adopt cloud services for their businesses due to various service providers offering similar services. In addition, little work has been carried out in regards to the cloud services adoption process by SMEs. In this chapter, the authors propose CLOUDSME, a novel framework that aids in the adoption process of SaaS cloud services. Accordingly, they implement a decision support system, which includes an ontology of cloud services knowledge within the proposed framework. Analytical hierarchical process (AHP) is used to determine the weight of each cloud service attribute, and a benchmark is set to determine the acceptability of each cloud service based on its ability to meet the acceptable benchmark for each criteria. It can also help in a healthy competition to improve the quality of service among cloud service providers. The CLOUDSME semantic model will guide SME owners in answering user requirements towards decision making in the cloud service adoption process.

scholarly journals Federated Cloud Storage Management Through Provable Data Possession using Dynamic Audit Protocol

2019 ◽  
Vol 8 (2S3) ◽  
pp. 662-665
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Application Programming Interface ◽  
Third Party ◽  
Web Browser ◽  
Free Data ◽  
Cloud Service Providers ◽  
Storage Area

Cloud computing is a technology for sharing the resources for on demand request and for processing the data. It facilitates cloud storage for adopting cloud users with the help of cloud service providers. It enhances need of enterprises by adhering large volume of data to store and owned privately through third party auditors via data centres. The proposed system analyse cloud storage and provide free data storage for computing the data and maintain variety of cloud storage in one place. This scenario promotes storage of files in one system, so the user doesn’t require various accounts like GoogleDrive, Microsoft Onedrive and Dropbox. This application enhances multiple cloud storage for accessing all files in one particular storage area. The proposed system eradicates visiting of multiple sites for downloading the apps and reduces installing of multiple apps for downloading all the files. The work mainly focuses on the SaaS that permits users to upload data and share the resources from the cloud to post in the Web browser. Our work designed for creating single level of Application programming interface which is for all the cloud service providers. This adopts external applications that leverage the service of platform which is easier to build scalable, and automated cloud based applications. The final API promotes multiple cloud storage in one place and leads to provision Federated Cloud

scholarly journals Spectral Expansion Method for Cloud Reliability Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
K. Kotteswari ◽  
A. Bharathi
Keyword(s):  
Data Storage ◽  
Service Providers ◽  
Expansion Method ◽  
Cloud Service ◽  
Spectral Expansion ◽  
Performance Model ◽  
Hybrid Network ◽  
Performance Modelling ◽  
Technology Application ◽  
Cloud Service Providers

Cloud computing is a computing hypothesis, where a huge group of systems is linked together in private, public, or hybrid network, to offer dynamically amendable infrastructure for data storage, file storage, and application. With this emerging technology, application hosting, delivery, content storage, and reduced computation cost are achieved, and it acts as an essential module for the backbone of the Internet of Things (IoT). The efficiency of cloud service providers (CSP) could be improved by considering significant factors such as availability, reliability, usability, security, responsiveness, and elasticity. Assessment of these factors leads to efficiency in designing a scheduler for CSP. These metrics also improved the quality of service (QoS) in the cloud. Many existing models and approaches evaluate these metrics. But these existing approaches do not offer efficient outcome. In this paper, a prominent performance model named the “spectral expansion method (SPM)” evaluates cloud reliability. The spectral expansion method (SPM) is a huge technique useful in reliability and performance modelling of the computing system. This approach solves the Markov model of cloud service providers (CSP) to predict the reliability. The SPM is better compared to matrix-geometric methods.

scholarly journals Multi-Layered Dynamic Encryption Security Scheme for Cloud Data Storage

2017 ◽  
Vol 16 (3) ◽  
pp. 6233-6239
Author(s):  
Stephen Rodriguez ◽  
Paolina Centonze
Keyword(s):  
Mobile Devices ◽  
Data Storage ◽  
Service Providers ◽  
Journal Article ◽  
Cloud Service ◽  
Security Requirements ◽  
Cloud Data ◽  
Security Scheme ◽  
Cloud Service Providers ◽  
Dynamic Encryption

This journal article discusses our Dynamic Encryption Key Security Scheme (DEKSS) and the purpose it serves in providing a new security architecture for protecting databases used in technology stacks involving Mobile and Cloud based devices. Our security scheme is a novel architectural strategy that implements a full-stack architecture for the dispatching and management of data between several Cloud Service Providers (CSP) and any number of mobile devices. This strategy can promise data security needs for both mobile devices and cloud service providers without impacting the security requirements of the other party. While there are limitations in being truly secure, such as those recognized by WhiteHat security in their annual report[1], we believe that our security scheme can effectively circumvent potential threats and secure data through folding data using any number of encryption layers for every table and column of data to be stored. Through this approach, we have found our work to be applicable to a variety of different audiences within the cloud security space.

Examining of QoS in Cloud Computing Technologies and IoT Services

2021 ◽  
pp. 41-66
Author(s):  
Akash Chowdhury ◽  
Swastik Mukherjee ◽  
Sourav Banerjee
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
The Internet ◽  
On Demand ◽  
Gradual Evolution ◽  
Cloud Service Providers ◽  
History Of ◽  
The Internet Of Things

The various services that are offered by IoT and Cloud Service Providers (CSPs) to the customers today feature a pay-per-use service-charging policy. Customers can choose and avail these services when they want, how they want, and from where they want on demand. Demand for these services has increased drastically over the years among individuals and enterprises worldwide, and thus, it is very important to keep up good Quality of Service (QoS). This chapter highlights the history of internet, the gradual evolution of cloud computing, the reasons behind it, evolution and concepts of the Internet of Things (IoT), CloudIoT and its necessities, and various applications and service fields of CloudIoT. This chapter also precisely highlights various concepts regarding maintenance of good QoS, controversies in QoS maintenance, different parameters that the QoS depends on, various problems faced in maintaining those parameters, and the possible solutions for overcoming those problems. Possible directions towards future works are also highlighted in this chapter.

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