scholarly journals A Model Driven Framework for Portable Cloud Services

2016 ◽  
Vol 6 (2) ◽  
pp. 708
Author(s):  
Aparna Vijaya ◽  
Neelanarayanan V
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Domain Model ◽  
Cloud Services ◽  
Cloud Provider ◽  
Feature Models ◽  
Model Driven ◽  
Multiple Clouds ◽  
High Level ◽  
Cloud Infrastructures

<p class="Abstract">Cloud Computing is an evolving technology as it offers significant benefits like pay only for what you use, scale the resources according to the needs and less in-house staff and resources. These benefits have resulted in tremendous increase in the number of applications and services hosted in the cloud which inturn has resulted in increase in the number of cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures, API’s and methods to access the cloud resources. Despite its benefits; lack of standards among service providers has caused a high level of vendor lock-in when a software developer tries to change its cloud provider. In this paper we give an overview on the ongoing and current trends in the area of cloud service portability and we also propose a new cloud portability platform. Our new platform is based on establishing feature models which offers the desired cloud portability. Our solution DSkyL uses feature models and domain model analysis to support development, customization and deployment of application components across multiple clouds. The main goal of our approach is to reduce the effort and time needed for porting applications across different clouds. This paper aims to give an overview on DSkyL.</p>

A Model Driven Framework for Portable Cloud Services

2016 ◽  
Vol 6 (2) ◽  
pp. 708
Author(s):  
Aparna Vijaya ◽  
Neelanarayanan V
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Domain Model ◽  
Cloud Services ◽  
Cloud Provider ◽  
Feature Models ◽  
Model Driven ◽  
Multiple Clouds ◽  
High Level ◽  
Cloud Infrastructures

<p class="Abstract">Cloud Computing is an evolving technology as it offers significant benefits like pay only for what you use, scale the resources according to the needs and less in-house staff and resources. These benefits have resulted in tremendous increase in the number of applications and services hosted in the cloud which inturn has resulted in increase in the number of cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures, API’s and methods to access the cloud resources. Despite its benefits; lack of standards among service providers has caused a high level of vendor lock-in when a software developer tries to change its cloud provider. In this paper we give an overview on the ongoing and current trends in the area of cloud service portability and we also propose a new cloud portability platform. Our new platform is based on establishing feature models which offers the desired cloud portability. Our solution DSkyL uses feature models and domain model analysis to support development, customization and deployment of application components across multiple clouds. The main goal of our approach is to reduce the effort and time needed for porting applications across different clouds. This paper aims to give an overview on DSkyL.</p>

scholarly journals Privacy enforcement on subscribers data in cloud computing

2021 ◽  
Vol 40 (2) ◽  
pp. 308-320
Author(s):  
S.A. Akinboro ◽  
U.J. Asanga ◽  
M.O. Abass
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Provider ◽  
Sensitive Information ◽  
Secure Socket Layer ◽  
Brute Force ◽  
User Privacy ◽  
Platform As A Service ◽  
High Level

Data stored in the cloud are susceptible to an array of threats from hackers. This is because threats, hackers and unauthorized access are not supported by the cloud service providers as implied. This study improves user privacy in the cloud system, using privacy with non-trusted provider (PNTP) on software and platform as a service model. The subscribers encrypt the data using user’s personal Advanced Encryption Standard (AES) symmetric key algorithm and send the encrypted data to the storage pool of the Cloud Service Provider (CSP) via a secure socket layer. The AES performs a second encryption on the data sent to the cloud and generates for the subscriber a key that will be used for decryption of previously stored data. The encryption and decryption keys are managed by the key server and have been hardcoded into the PNTP system. The model was simulated using the Stanford University multimedia dataset and benchmarked with a Privacy with Trusted cloud Provider (PTP) model using encryption time, decryption time and efficiency (brute force hacking) as parameters. Results showed that it took a longer time to access the user files in PNTP than in the PTP system. The brute force hacking took a longer time (almost double) to access data stored on the PNTP system. This will give subscribers a high level of control over their data and increase the adoption of cloud computing by businesses and organizations with highly sensitive information.

scholarly journals Legal problems of using cloud services of foreign providers by Russian banks

Lex Russica ◽  
2019 ◽  
pp. 108-115
Author(s):  
V. A. Kanashevskiy
Keyword(s):  
Service Providers ◽  
Personal Data ◽  
Cloud Service ◽  
Legal Aspects ◽  
Cloud Services ◽  
Cloud Provider ◽  
Computing Services ◽  
Money Transfers ◽  
Systems Requirements ◽  
The Right

The paper examines the legal aspects of the use of cloud solutions by Russian banks of foreign providers. Despite the obvious advantages, there are many obstacles to such a use in the Russian legislation, including the lack of general regulation of cloud computing services, requirements for information security (licensing of encryption activities, certification of information systems), requirements of legislation on the localization of personal data databases, electronic databases of banks, etc. Based on the analysis of existing regulations, in particular the industry regulators, the author comes to the conclusion that foreign cloud service providers have the right to provide services to Russian financial institutions under certain conditions: cloud solutions should not include outsourcing of business functions entirely and should not involve the production of internal (domestic) money transfers (payments); foreign cloud provider has taken measures to protect the protected information; cross-border transfer of personal data and bank secrecy should be carried out in an impersonal form, etc.

scholarly journals Optimizing performance of fuzzy decision support system with multiple parameter dependency for cloud provider evaluation

2017 ◽  
Vol 7 (1.2) ◽  
pp. 166
Author(s):  
Uma Rani ◽  
Surjeet Dalal ◽  
Jugnesh Kumar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Service Provider ◽  
Service Providers ◽  
Fuzzy Rule ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Provider ◽  
Parameter Dependency

In today’s world, technological trend offers computing resources as services through the internet in on-demand or pay-as-you-go approach. These services are provided by different cloud service providers. Due to which trust on the any service provider is a choice of any customer. In order to choose a reputed cloud service provider a new method using the concept of fuzzy has proposed in this paper. This method enhanced the customer’s satisfaction level of using cloud services by avoiding ambiguities in fuzzy interface system (FIS) through optimization.Proposed fuzzy rule-based decision support system is collaborating with advanced fuzzy system optimized using a swarm intelligent firefly algorithm that facilitates the consumers in selecting right CSP based upon their rating value. It conducts three different reviews of three different components, i.e. customer review, service provider review and public review. Results are carried out on the basis of both simple and the optimized fuzzy, and it is found that the optimized fuzzy surpasses the simple fuzzy logic.

Business in the Cloud: Research Questions on Governance, Audit, and Assurance

2016 ◽  
Vol 30 (3) ◽  
pp. 173-189 ◽  
Author(s):  
Pamela J. Schmidt ◽  
Jason T. Wood ◽  
Severin V. Grabski
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Provider ◽  
Tight Coupling ◽  
Business Environments ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Research Questions

ABSTRACTCloud computing services are finding rapid adoption as organizations seek cost reduction, technical expertise, flexibility, and adaptable mechanisms to attain advantages in fast-moving business environments. The related considerations of governance, audit, and assurance of cloud computing services might be inadvertently overlooked in a rush to adopt these cloud services. This paper focuses on cloud computing governance and audit issues by presenting research questions informed by both practice and research. A cloud computing ecosystem is presented and an IT Governance framework (Wilkin and Chenhall 2010) is referenced as a means to structure research questions. Key issues of risk, security, monitoring, control, and compliance should be considered early in the cloud services decision process. The tight coupling of intercompany operations between the cloud client and cloud provider(s) forms an interdependent, operationally coupled ecosystem. Planned governance is needed to achieve a well-governed, functional, and secure cloud computing environment. The audit role is complicated when the organization's financial data and/or critical applications are hosted externally with a cloud service provider that may use other cloud service providers.

scholarly journals Big Data Analysis using BigQuery on Cloud Computing Platform

2021 ◽  
pp. 1-9
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Efficient Manner ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Cost Efficient ◽  
The Right ◽  
High Level

End the age of digitalization, data generated from numerous online and offline sources in every second. The Data are having a considerable amount of size and several properties termed as Bigdata. It is challenging to store, manage processes, analyze, visualize, and extract useful information from Bigdata using traditional approaches in local machines. To resolve this cloud computing platform is the solution. Cloud computing has high-level processing units, storage, and applications that do not depend on user devices' performance. Many users can access resources and demanded services remotely from the cloud on a pay-as-use basis. That is why users are not needed to buy and install costly resources locally. Some cloud services providers are Google, AWS, IBM, and Microsoft, and they have their Bigdata analyzing robust systems and products in a cost-efficient manner. There are many Cloud Service Providers (CSP's) having different services of Bigdata analyzing filed. However, we discuss in the paper about an excellent service BigQuery in the Data warehouse product of Google to analyze and represent numerous samples of datasets in real-time for making the right decisions within a short time.

scholarly journals Qualitative SMI based Cloud Service Selection using Intuitionistic Fuzzy TOPSIS

2020 ◽  
Vol 9 (1) ◽  
pp. 1289-1296
Keyword(s):  
Service Providers ◽  
Service Selection ◽  
Multicriteria Decision Making ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
Cloud Services ◽  
Cloud Provider ◽  
Intuitionistic Fuzzy ◽  
Network Connection ◽  
Intuitionistic Fuzzy Topsis

Cloud Computing allows access to a public resource pool on demand and easy network connection for the same. Due to the popularity and profits of using Cloud Services, many organizations are moving to Cloud .So selecting a suitable and best Cloud Provider is a challenge for all the users. Many ranking approaches had been proposed for solving this multicriteria decision making problem like AHP, TOPSIS etc. But many of the works focused on quantitative QoS attributes .But qualitative attributes are also important in the case of many application scenarios where the user may be more concerned about the qualitative attributes. CSMIC has released Service Measurement Index attributes for effectively comparing the Cloud services. The comparison of Cloud Service providers based on SMI attributes which are qualitative in nature by using a ranking approach that handles fuzziness in the dataset is the objective of this paper. The proposed approach uses the MCDM algorithm called Technique for Order Preference by Similarity to ideal Solution and uncertainty is handled by Intuitionistic fuzzy values. The qualitative SMI attributes are used as criteria for ranking the Cloud Services.

scholarly journals Micro Service Based System for Cost Based Selection of Cloud Provider Services

2020 ◽  
Vol 8 (5) ◽  
pp. 985-991
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Daily Basis ◽  
Cloud Services ◽  
Cloud Provider ◽  
Cloud Infrastructure ◽  
Cloud Service Providers ◽  
Architectural Framework ◽  
The Cost ◽  
Cloud Applications

The increase in the amount of data generated on a daily basis coupled with the need to store and manage this data has encouraged the organizations to adopt cloud computing. In order to ensure better availability and reliability of their data as well as resources, most of the organizations make use of one or more cloud service providers .But the use of cloud resources puts forth some challenges as well. One of the challenges is its detailed monitoring. As the number of services utilized by the cloud consumers goes on increasing, the number of logs and metrics generated by them also scales rapidly.The dynamic nature of cloud infrastructure and the variety of services offered by several cloud vendors demands a sophisticated mechanism to calculate and analyze the cost of using different services. The billing reports by the cloud service providers deliver statistics about the usage of resources and the costs associated with them. It contains large amount of data which needs to be processed in order to gain useful information. In this paper, we propose a micro service based architectural framework which gathers the data from two different cloud service providers. This data is not only stored but processed to generate reports to enable optimal use of cloud infrastructure. The use of microservices framework provides benefits and is a preferred framework for the development of cloud applications. The main aim of this work is to provide an integrated mechanism to enable the comparison of cost for using similar cloud services.

Improved Proofs Of Retrievability And Replication For Data Availability In Cloud Storage

2020 ◽  
Vol 63 (8) ◽  
pp. 1216-1230 ◽  
Author(s):  
Wei Guo ◽  
Sujuan Qin ◽  
Jun Lu ◽  
Fei Gao ◽  
Zhengping Jin ◽  
...  
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Data Availability ◽  
Forgery Attack ◽  
Common Strategy ◽  
Comparable Performance ◽  
Replication Scheme ◽  
High Level ◽  
Cloud Users ◽  
Proofs Of Retrievability

Abstract For a high level of data availability and reliability, a common strategy for cloud service providers is to rely on replication, i.e. storing several replicas onto different servers. To provide cloud users with a strong guarantee that all replicas required by them are actually stored, many multi-replica integrity auditing schemes were proposed. However, most existing solutions are not resource economical since users need to create and upload replicas of their files by themselves. A multi-replica solution called Mirror is presented to overcome the problems, but we find that it is vulnerable to storage saving attack, by which a dishonest provider can considerably save storage costs compared to the costs of storing all the replicas honestly—while still can pass any challenge successfully. In addition, we also find that Mirror is easily subject to substitution attack and forgery attack, which pose new security risks for cloud users. To address the problems, we propose some simple yet effective countermeasures and an improved proofs of retrievability and replication scheme, which can resist the aforesaid attacks and maintain the advantages of Mirror, such as economical bandwidth and efficient verification. Experimental results show that our scheme exhibits comparable performance with Mirror while achieving high security.

scholarly journals A Generic Model for Identifying QoS Parameters Interrelations in Cloud Services Selection Ontology during Runtime

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Operating Costs ◽  
Generic Model ◽  
Business Organizations ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Computer Based

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.

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