Cloud Computing as the Next Utility

2020 ◽  
Vol 10 (4) ◽  
pp. 28-47
Author(s):  
Alexander Bogislav Herzfeldt ◽  
Hans Peter Rauer ◽  
Reimar Weißbach ◽  
Christoph Ertl
Keyword(s):  
Cloud Computing ◽  
Organizational Learning ◽  
Service Providers ◽  
Cloud Service ◽  
Service Provisioning ◽  
Expert Interviews ◽  
It Services ◽  
Cloud Service Providers ◽  
Provisioning Strategies

Cloud computing has become the dominant provisioning model for IT services. This research adopts the provider's perspective to explore profitable service provisioning strategies: industrialization and standardization vs. service individualization. Based on a survey and expert interviews among cloud service providers, the authors identify that focusing on service individualization does not pay off for cloud service providers. Instead, cloud service providers should adopt industrialization and automation. Even more, they find that exploitation mechanisms of organizational learning significantly improve the cloud service profitability.

SECURITY IN CLOUD COMPUTING IN INDIAN GOVERNMENT

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Nitin Vishnu Choudhari ◽  
Dr. Ashish B Sasankar
Keyword(s):  
Cloud Computing ◽  
Service Delivery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Security ◽  
End Users ◽  
Security Architecture ◽  
Security Measures ◽  
End User ◽  
Cloud Service Providers

Abstract –Today Security issue is the topmost problem in the cloud computing environment. It leads to serious discomfort to the Governance and end-users. Numerous security solutions and policies are available however practically ineffective in use. Most of the security solutions are centered towards cloud technology and cloud service providers only and no consideration has been given to the Network, accessing, and device securities at the end-user level. The discomfort at the end-user level was left untreated. The security of the various public, private networks, variety of devices used by end-users, accessibility, and capacity of end-users is left untreated. This leads towards the strong need for the possible modification of the security architecture for data security at all levels and secured service delivery. This leads towards the strong need for the possible adaption of modified security measures and provisions, which shall provide secured hosting and service delivery at all levels and reduce the security gap between the cloud service providers and end-users. This paper investigates the study and analyze the security architecture in the Cloud environment of Govt. of India and suggest the modifications in the security architecture as per the changing scenario and to fulfill the future needs for the secured service delivery from central up to the end-user level. Keywords: Cloud Security, Security in GI Cloud, Cloud Security measures, Security Assessment in GI Cloud, Proposed Security for GI cloud

scholarly journals АНАЛИЗ ПОДХОДОВ К ОБЕСПЕЧЕНИЮ БЕЗОПАСНОСТИ ОБЛАЧНЫХ СЕРВИСОВ

2020 ◽  
pp. 70-82
Author(s):  
Вячеслав Вікторович Фролов
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Geographical Location ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Critical System ◽  
Cloud Service Providers ◽  
Safety And Reliability ◽  
Cloud Resources

The article is devoted to the analysis of modern approaches that ensure the security of cloud services. Since cloud computing is one of the fastest growing areas among information technology, it is extremely important to ensure the safety and reliability of processes occurring in the clouds and to secure the interaction between the client and the provider of cloud services. Given that fears about data loss and their compromise are one of the main reasons that some companies do not transfer their calculations to the clouds. The object of research and analysis of this work are cloud services, which are provided by various cloud service providers. The aim of the study of this work is to compare existing approaches that provide information security for cloud services, as well as offer a new approach based on the principle of diversity. There are many approaches that ensure their safety, using both traditional and cloud-specific. The multi-cloud approach is one of the most promising strategies for improving reliability by reserving cloud resources on the servers of various cloud service providers. It is shown that it is necessary to use diversity to ensure the reliability and safety of critical system components. The principle of diversity is to use a unique version of each resource thanks to a special combination of a cloud computing provider, the geographical location of data centers, cloud service presentation models, and cloud infrastructure deployment models. The differences between cloud providers and which combination of services are preferable to others in terms of productivity are discussed in detail. In addition, best practices for securing cloud resources are reviewed. As a result, this paper concludes that there is a problem of insufficient security and reliability of cloud computing and how to reduce threats in order to avoid a common cause failure and, as a result, loss of confidential data or system downtime using diversity of cloud services.

scholarly journals Dear Cloud, I Think We Have Trust Issues: Cloud Computing Contracts and Trust

2020 ◽  
pp. 21-42
Author(s):  
Theo Lynn
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Standard Form ◽  
Cloud Service ◽  
Contract Law ◽  
Cloud Service Provider ◽  
Internet Users ◽  
Cloud Service Providers ◽  
The Relationship ◽  
Dominant Paradigm

Abstract Cloud computing is the dominant paradigm in modern computing, used by billions of Internet users worldwide. It is a market dominated by a small number of hyperscale cloud service providers. The overwhelming majority of cloud customers agree to standard form click-wrap contracts, with no opportunity to negotiate specific terms and conditions. Few cloud customers read the contracts that they agree to. It is clear that contracts in cloud computing are primarily an instrument of control benefiting one side, the cloud service provider. This chapter provides an introduction to the relationship between psychological trust, contracts and contract law. It also offers an overview of the key contract law issues that arise in cloud computing and introduces some emerging paradigms in cloud computing and contracts.

scholarly journals RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yao Lu ◽  
John Panneerselvam ◽  
Lu Liu ◽  
Yan Wu
Keyword(s):  
Neural Network ◽  
Cloud Computing ◽  
Prediction Model ◽  
Prediction Accuracy ◽  
Service Providers ◽  
Cloud Service ◽  
Backpropagation Neural Network ◽  
Environmental Implications ◽  
Cloud Service Providers ◽  
Cloud Workloads

Given the increasing deployments of Cloud datacentres and the excessive usage of server resources, their associated energy and environmental implications are also increasing at an alarming rate. Cloud service providers are under immense pressure to significantly reduce both such implications for promoting green computing. Maintaining the desired level of Quality of Service (QoS) without violating the Service Level Agreement (SLA), whilst attempting to reduce the usage of the datacentre resources is an obvious challenge for the Cloud service providers. Scaling the level of active server resources in accordance with the predicted incoming workloads is one possible way of reducing the undesirable energy consumption of the active resources without affecting the performance quality. To this end, this paper analyzes the dynamic characteristics of the Cloud workloads and defines a hierarchy for the latency sensitivity levels of the Cloud workloads. Further, a novel workload prediction model for energy efficient Cloud Computing is proposed, named RVLBPNN (Rand Variable Learning Rate Backpropagation Neural Network) based on BPNN (Backpropagation Neural Network) algorithm. Experiments evaluating the prediction accuracy of the proposed prediction model demonstrate that RVLBPNN achieves an improved prediction accuracy compared to the HMM and Naïve Bayes Classifier models by a considerable margin.

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.

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.

SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services

2013 ◽  
Vol 660 ◽  
pp. 196-201 ◽  
Author(s):  
Muhammad Irfan ◽  
Zhu Hong ◽  
Nueraimaiti Aimaier ◽  
Zhu Guo Li
Keyword(s):  
Cloud Computing ◽  
Computer Science ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Computing Services ◽  
Cloud Service Providers ◽  
Cloud Computing Services

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

scholarly journals Secure and Selective Cloud Data Auditing using Deep Machine Learning

2019 ◽  
Vol 9 (2) ◽  
pp. 5471-5479
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Third Party ◽  
Cloud Data ◽  
Data Centre ◽  
Cloud Service Providers ◽  
Characteristics Analysis ◽  
Data Centres

The tradition of moving applications, data to be consumed by the applications and the data generated by the applications is increasing and the increase is due to the advantages of cloud computing. The advantages of cloud computing are catered to the application owners, application consumers and at the same time to the cloud datacentre owners or the cloud service providers also. Since IT tasks are vital for business progression, it for the most part incorporates repetitive or reinforcement segments and framework for power supply, data correspondences associations, natural controls and different security gadgets. An extensive data centre is a mechanical scale task utilizing as much power as a community. The primary advantage of pushing the applications on the cloud-based data centres are low infrastructure maintenance with significant cost reduction for the application owners and the high profitability for the data centre cloud service providers. During the application migration to the cloud data centres, the data and few components of the application become exposed to certain users. Also, the applications, which are hosted on the cloud data centres must comply with the certain standards for being accepted by various application consumers. In order to achieve the standard certifications, the applications and the data must be audited by various auditing companies. Few of the cases, the auditors are hired by the data centre owners and few of times, the auditors are engaged by application consumers. Nonetheless, in both situations, the auditors are third party and the risk of exposing business logics in the applications and the data always persists. Nevertheless, the auditor being a third-party user, the data exposure is a high risk. Also, in a data centre environment, it is highly difficult to ensure isolation of the data from different auditors, who may not be have the right to audit the data. Significant number of researches have attempted to provide a generic solution to this problem. However, the solutions are highly criticized by the research community for making generic assumptions during the permission verification process. Henceforth, this work produces a novel machine learning based algorithm to assign or grant audit access permissions to specific auditors in a random situation without other approvals based on the characteristics of the virtual machine, in which the application and the data is deployed, and the auditing user entity. The results of the proposed algorithm are highly satisfactory and demonstrates nearly 99% accuracy on data characteristics analysis, nearly 98% accuracy on user characteristics analysis and 100% accuracy on secure auditor selection process

scholarly journals Comparing K-means, K-medoids and ISODATA Clustering Algorithms for a Cloud Service Search Engine

2019 ◽  
Vol 8 (3) ◽  
pp. 4978-4982
Keyword(s):  
Cloud Computing ◽  
Search Engine ◽  
Web Sites ◽  
Service Providers ◽  
Clustering Algorithms ◽  
Cloud Service ◽  
History Of Computing ◽  
The Past ◽  
Cloud Service Providers ◽  
History Of

The evolution of cloud computing over the past few years is potentially one of the major advances in the history of computing. Cloud computing theoretically provides all computing needs as services. Accordingly, a large number of cloud service providers exist and the number is constantly increasing. This presents a significant problem for a user to find a relevant service provider, and calls for developing a specialized search engine to help users select suitable services matching their needs. Towards this goal, we developed a search engine that crawls the web sites of various service providers, extracts service attributes from their JavaScript Object Notation (JSON) files and normalizes the attributes in a service table. Those attributes are clustered using one of three different algorithms (K-means, K-medoids, and ISODATA). The requirements of a given user are then matched against the centroids of the various clusters to help obtain the closest match. In this paper, we compared the three algorithms with respect to time and accuracy. The ISODATA algorithm exhibited the best performance.

A Compendium of Cloud Forensics

2020 ◽  
pp. 215-227
Author(s):  
Mohd. Akbar ◽  
Mohammad Suaib ◽  
Mohd. Shahid Husain ◽  
Saurabh Shukla
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Legal Issues ◽  
Cloud Environment ◽  
Cyber Forensics ◽  
Cloud Forensics ◽  
Security Issues ◽  
Cloud Service Providers ◽  
Traditional Approaches

The cloud computing environment is one of the most promising technologies in the development of computing resources. The cloud service providers provide almost every resource for computing to their users through the internet. With all its advantages, cloud computing has major security issues. Especially in the case of public clouds, anyone can misuse the services for performing unlawful activities. The traditional approaches used for cyber forensics and network forensics are not adequate for the cloud environment because of many technical constraints. There is a need for setting up effective countermeasures that can help an investigator to identify and track unlawful activities happened in a cloud environment. Cloud forensics is an emerging area of research where the researchers aim to provide effective digital forensic techniques that help in the investigation of digital crimes in a cloud environment. The cloud environment helps to extract data even from devices that are not physically accessible. However, cloud forensics is not as easy as it seems; a lot of the success depends on the cloud service model implemented in the context. Getting the support of cloud service providers in accessing the potential sources of evidence necessary for investigation is also a major concern. Another critical aspect of cloud forensics is dealing with legal issues. This chapter discusses the basic concepts of cloud forensics, its challenges, and future directions.

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