scholarly journals Federated learning for IoE environments: A service provider revenue maximization framework

2021 ◽  
Vol 2 (5) ◽  
pp. 1-12
Author(s):  
Benedetta Picano ◽  
Romano Fantacci ◽  
Tommaso Pecorella ◽  
Adnan Rashid
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
User Satisfaction ◽  
Service Providers ◽  
Functional Integration ◽  
Edge Computing ◽  
Demand Prediction ◽  
Main Challenge ◽  
Prediction Scheme ◽  
Increasing Demand

In accordance with the Internet of Everything (IoE) paradigm, millions of people and billions of devices are expected to be connected to each other, giving rise to an ever increasing demand for application services with a strict quality of service requirements. Therefore, service providers are dealing with the functional integration of the classical cloud computing architecture with edge computing networks. However, the intrinsic limited capacity of the edge computing nodes implies the need for proper virtual functions' allocations to improve user satisfaction and service fulfillment. In this sense, demand prediction is crucial in services management and exploitation. The main challenge here consists of the high variability of application requests that result in inaccurate forecasts. Federated learning has recently emerged as a solution to train mathematical learning models on the users' site. This paper investigates the application of federated learning to virtual functions demand prediction in IoE based edge cloud computing systems, to preserve the data security and maximise service provider revenue. Additionally, the paper proposes a virtual function placement based on the services demand prediction provided by the federated learning module. A matching based tasks allocation is proposed. Finally, numerical results validate the proposed approach, compared with a chaos theory prediction scheme.

scholarly journals Cloud Computing based on the Load Balancing Algorithm

2018 ◽  
Vol 7 (4.7) ◽  
pp. 131
Author(s):  
NV Abhinav Chand ◽  
A Hemanth Kumar ◽  
Surya Teja Marella
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
User Satisfaction ◽  
Easy Access ◽  
Future Research ◽  
Computing Technology ◽  
Main Challenge ◽  
Load Balancing Algorithm ◽  
And Performance ◽  
Time Resource

Emerging cloud computing technology is a big step in virtual computing. Cloud computing provides services to clients through the internet. Cloud computing enables easy access to resources distributed all over the world. Increase in the number of the population has further increased the challenge. The main challenge of cloud computing technology is to achieve efficient load balancing. Load balancing is a process of assigning load to available resources in such a way that it avoids overloading of resources. If load balancing is performed efficiently, it improves QoS metric including cost, throughput, response time, resource utilization and performance. Efficient load balancing techniques also provide better user satisfaction. Various load balancing algorithms are used in different scenarios for ensuring the same. In the current research, we will study different algorithms for load balancing and benefits and limitations caused to the system due to the algorithms. In this paper, we will compare static and dynamic load balancing algorithms for various measures of efficiency. These will be useful for future research in the concerned field. 

scholarly journals ALGORITHM FOR TASK CONSOLIDATION IN CLOUD COMPUTING: A COMPARATIVE SURVEY

2018 ◽  
Vol 6 (5) ◽  
pp. 340-345
Author(s):  
Rajat Pugaliya ◽  
Madhu B R
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Resource Utilization ◽  
Service Provider ◽  
Virtual Machines ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Dynamic Task ◽  
Main Challenge ◽  
High Level

Cloud Computing is an emerging field in the IT industry. Cloud computing provides computing services over the Internet. Cloud Computing demand increasing drastically, which has enforced cloud service provider to ensure proper resource utilization with less cost and less energy consumption. In recent time various consolidation problems found in cloud computing like the task, VM, and server consolidation. These consolidation problems become challenging for resource utilization in cloud computing. We found in the literature review that there is a high level of coupling in resource utilization, cost, and energy consumption. The main challenge for cloud service provider is to maximize the resource utilization, reduce the cost and minimize the energy consumption. The dynamic task consolidation of virtual machines can be a way to solve the problem. This paper presents the comparative study of various task consolidation algorithms.

Trust Management in Cloud Computing

2019 ◽  
pp. 1686-1711
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

An Analysis on the Terms and Conditions of the Clickwrap Agreement and the Benefits of Maintaining the Click Wrap Agreement in Cloud Computing

2022 ◽  
pp. 205-224
Author(s):  
Dhiviya Ram
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
End User ◽  
Cloud Service Provider ◽  
Novel Approach ◽  
Cloud Service Providers ◽  
Provider Perspective

One of the most unique forms of contracting is apparent in cloud computing. Cloud computing, unlike other conventional methods, has adopted a different approach in the formation of binding contract that will be used for the governance of the cloud. This method is namely the clickwrap agreement. Click wrap agreement follows a take it or leave it basis in which the end users are provided with limited to no option in terms of having a say on the contract that binds them during the use of cloud services. The terms found in the contract are often cloud service provider friendly and will be less favourable to the end user. In this article, the authors examine the terms that are often found in the cloud computing agreement as well as study the benefit that is entailed in adopting this contracting method. This chapter has undertaken a qualitative study that comprises interviews of cloud service providers in Malaysia. Hence, this study is a novel approach that also provides insight in terms of the cloud service provider perspective regarding the click wrap agreement.

Cloud Computing Service Provider Business Model Success Characteristics

2022 ◽  
pp. 124-148
Author(s):  
Ignitia Motjolopane ◽  
Tshinakaho Relebogile Seaba
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Service Provider ◽  
Business Models ◽  
Service Providers ◽  
Higher Education Institutions ◽  
Digital Transformation ◽  
Cloud Computing Service ◽  
Information Technology Services ◽  
Successful Business

In a digital arena, information technology services provision is shifting to a cloud computing ecosystem. Cloud computing is an enabler for digital transformation with cloud computing service providers central to the digital transformation of both companies and higher education. As cloud computing service providers play the role of an ‘architect' for companies as supply chain is digitised and in supporting higher education institutions striving to deliver user-focused services in the face of increasing competition, an understanding of successful characteristics of cloud computing service provider business models is of main interest for providers and may also be of value for companies and higher education institutions when selecting cloud computing service providers. Despite the importance of cloud computing service providers' business models, information systems literature has provided limited analysis on the characteristics of successful business models. As such, the chapter aims to contribute to the emerging research on characteristics of successful business models.

A Cloud Computing Perspective towards Adoption of Technological Transformation and Innovation among Higher Educational Institutions

2019 ◽  
Vol 8 (3) ◽  
pp. 39-43
Author(s):  
K. C. Shiva Shankar ◽  
G. T. Jagadeesha
Keyword(s):  
Cloud Computing ◽  
Enterprise Resource Planning ◽  
Service Provider ◽  
Service Providers ◽  
Educational Institution ◽  
Resource Planning ◽  
Business Environment ◽  
Educational Institutions ◽  
Technological Transformation ◽  
Time Service

In this competitive business environment, each and every service providers tries to differentiate themselves in offering their products and services according to the basic expectations of the target audiences. Wherein currently technological transformation and its adoption becomes a predominant and essential factor for the success of any service provider in the modern educational institution of the growing Indian service sector. Adoption of modern technologies in to their business offerings certainly increased their competitive advantage compared to other service providers on one hand and on the other hand it provides a unique way of delivery its regular services with a major differentiation with help of technology among their major stakeholders. Modern Growing Educational Institutions are now a days forced to make use of the technological advancements available to them in order increase their business potential and also adoption of such technologies like Cloud Computing (CC), Internet of Things (IoT), Business Automation with Enterprise Resource Planning (ERP), Artificial Intelligence (AI), Machine Learning (ML), etc., has certainly provided a wider range of opportunities in the field of education. However, it is the basic responsibility of each and every service provider to make use of such technology in to their business when and wherever it is required, it needs to be analyzed and utilized within shorter period of time would certainly help them to become a market leader, at the same time, service providers of various educational institutions would be found to be more aggressive in their day to day offering of their services to various stake holders and also business activities would be certainly enriched with the higher adoption of Technology as a core competence factor.

scholarly journals Implementing Fuzzy TOPSIS in Cloud Type and Service Provider Selection

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Aveek Basu ◽  
Sanchita Ghosh
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Multicriteria Decision Making ◽  
Leading Edge ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
End Users ◽  
Market Demand ◽  
Cloud Service Providers

Cloud computing can be considered as one of the leading-edge technological advances in the current IT industry. Cloud computing or simply cloud is attributed to the Service Oriented Architecture. Every organization is trying to utilize the benefit of cloud not only to reduce the cost overhead in infrastructure, network, hardware, software, etc., but also to provide seamless service to end users with the benefit of scalability. The concept of multitenancy assists cloud service providers to leverage the costs by providing services to multiple users/companies at the same time via shared resource. There are several cloud service providers currently in the market and they are rapidly changing and reorienting themselves as per market demand. In order to gain market share, the cloud service providers are trying to provide the latest technology to end users/customers with the reduction of costs. In such scenario, it becomes extremely difficult for cloud customers to select the best service provider as per their requirement. It is also becoming difficult to decide upon the deployment model to choose among the existing ones. The deployment models are suitable for different companies. There exist divergent criteria for different deployment models which are not tailor made for an organization. As a cloud customer, it is difficult to decide on the model and determine the appropriate service provider. The multicriteria decision making method is applied to find out the best suitable service provider among the top existing four companies and choose the deployment model as per requirement.

scholarly journals Analyzing the Important Factors for Cloud Service Provider Selection among the IT firms in Turkey

2016 ◽  
Author(s):  
Ediz Şaykol ◽  
Ayşe Seçil Başer ◽  
Kazim Sari
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Positive Impact ◽  
Cloud Service ◽  
Performance Level ◽  
Cloud Service Provider

Cloud computing, as being one of the trendy topics, provides mechanisms for the companies to meet all the information technology and management requirements at a desired performance level with reduced upfront investments. From the economical perspective, it creates a positive impact by helping them focus on their own business. With this positive impact, it causes a huge increase on the number of user firms, and many service providers try to provide solutions based on the user firms’ needs. There are studies on identifying the factors that are used in selecting cloud service solutions in the literature. Having examined the pivotal points among the Information Technology (IT) sector in Turkey, we conducted a survey among the managers of various firms to gather information about their cloud service provider and the factors that provision their choice. Since that decision is very strategic, and once decided it is very hard to alter, it is worth analyzing the set of factors that are used in the survey further in order to identify the most important ones and help new companies for their selection. We provide statistical evaluations based on the results of the survey in this study.

scholarly journals Ranking of Cloud Service Providers using Multi Layered TOPSIS

2020 ◽  
Vol 8 (6) ◽  
pp. 3727-3730
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Rating Scales ◽  
Rating Scale ◽  
Service Providers ◽  
Cloud Service ◽  
Technological Advancement ◽  
Multiple Parameters ◽  
Cloud Service Providers ◽  
Order Preference

Cloud computing is one of the popular technological advancement in the current IT industry. The multifaceted benefits of cloud computing has attracted huge number of public and industrial customers. There are numerous cloud service providers available with variations in type and cost of resources. This makes it very difficult to select a suitable service provider. The Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) is a popular method used of ranking service providers. However it reuires parameters that belong to a same category and rating scale. In this research we propose M-TOPSIS (Multilayer TOPSIS), a technique for ranking of service providers based on different categories with multiple parameters having different rating scales. The proposed technique applies TOPSIS for each category of input. The ranking of service provider in each category is then used to rank the available service providers, based on the overall performance. The efficiency of the proposed technique is compared with the existing models and the experimental results proved that the M-TOPSIS is able to rank service providers more accurately than the other existing models like E-FPROMTHEN.

scholarly journals An integrated three-tier trust management framework in mobile edge computing using fuzzy logic

2021 ◽  
Vol 7 ◽  
pp. e700
Author(s):  
Merrihan B.M. Mansour ◽  
Tamer Abdelkader ◽  
Mohamed Hashem ◽  
El-Sayed M. El-Horbaty
Keyword(s):  
Service Provider ◽  
Trust Management ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Edge Computing ◽  
Trust Value ◽  
Management Framework ◽  
Cloud Service Providers

Mobile edge computing (MEC) is introduced as part of edge computing paradigm, that exploit cloud computing resources, at a nearer premises to service users. Cloud service users often search for cloud service providers to meet their computational demands. Due to the lack of previous experience between cloud service providers and users, users hold several doubts related to their data security and privacy, job completion and processing performance efficiency of service providers. This paper presents an integrated three-tier trust management framework that evaluates cloud service providers in three main domains: Tier I, which evaluates service provider compliance to the agreed upon service level agreement; Tier II, which computes the processing performance of a service provider based on its number of successful processes; and Tier III, which measures the violations committed by a service provider, per computational interval, during its processing in the MEC network. The three-tier evaluation is performed during Phase I computation. In Phase II, a service provider total trust value and status are gained through the integration of the three tiers using the developed overall trust fuzzy inference system (FIS). The simulation results of Phase I show the service provider trust value in terms of service level agreement compliance, processing performance and measurement of violations independently. This disseminates service provider’s points of failure, which enables a service provider to enhance its future performance for the evaluated domains. The Phase II results show the overall trust value and status per service provider after integrating the three tiers using overall trust FIS. The proposed model is distinguished among other models by evaluating different parameters for a service provider.

Sign in / Sign up

Export Citation Format

Share Document