Performance Analysis and Evaluation of Multi-Cloud systems

Volume 6 Issue 1 January - June 2019

Research Paper

Performance Analysis and Evaluation of Multi-Cloud systems

R. Sugumar*, A. Rajesh**

* Department of Computer Science & Engineering, Sri Chandrashekarendra Saraswathi Viswa Maha Vidyalaya University, Kanchipuram, Tamil Nadu, India.

** C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Vellore District, Tamil Nadu, India.

Sugumar, R., Rajesh, A.(2019). Performance Analysis and Evaluation of Multi-Cloud systems, i-manager's Journal on Cloud Computing, 6(1), 36-42. https://doi.org/10.26634/jcc.6.1.16201

Abstract

Many global enterprises are interested in involving their activities in mature multi-cloud strategies. To avail the resources from multiple public and private clouds concerning their purpose-specific cloud environments. Such a multi-cloud environment allows organizations and enterprises to manage their applications among various remote cloud providers. To proliferate the users/organizations, we present some of the existing multi-cloud environments to their optimization in such application centric. In this paper, we analyzed with CloudChekr– that makes the users analyze cloud resources use dependent on the summary and highlights. Simultaneously, it makes it simple as users monitor and analyze the cloud cost by giving highlights to cost designation, cloud optimization, invoicing and chargeback. The reports created and alert sent by CloudChekr even encourage individual/organizations to scale the cloud framework on time without expanding cloud cost in the Cloudchekr dashboard.Multcloud and Odrive a multicloud environment, a portal with different CSPs and also discussed with various aspects of storage, cost optimization, billing policies and security aspects in Multi-cloud environment. This will impact in increasingly users/organization to adopt multi-cloud strategies.

Privacy Preservation Guidelines Based Substance Distribution in Public Clouds

Volume 6 Issue 1 January - June 2019

Research Paper

Privacy Preservation Guidelines Based Substance Distribution in Public Clouds

S. Muthuraj Kumar *

Department of Computer Technology, MIT Campus, Anna University, Chennai, Tamil Nadu, India.

Kumar, S. M.(2019). Privacy Preservation Guidelines Based Substance Distribution in Public Clouds, i-manager's Journal on Cloud Computing, 6(1), 27-35. https://doi.org/10.26634/jcc.6.1.16160

Abstract

Cloud data storage has the biggest challenge on the maintenance of data integrity at untrusted servers. Cloud computing delivers cloud services such as databases, networking, etc. The service charge for cloud services is based on the usage of the services. Cloud databases provide facilities for large scale data storage and retrieval of distributed data. In order to provide effective data integrity and security, it is necessary to propose new storage and retrieval algorithms for cloud databases. The cloud storage provides a secure way to remotely store the important information. In Cloud data is stored on remote servers and retrieved from the any internet or cloud. Cloud Security consists of set of policies to protect data, applications and infrastructure of cloud computing. In proposed system, the secure cloud data distribution in clouds provides data confidentiality, truthfulness and data access control. The secure cloud data sharing method encrypts a data file with anonly encryption key. Two different key segments for everyone of the users are engendered, with the user only receiving one segment. Thereby, security level is increased in the cloud databases by using the privilege based hierarchy values.

Adoption of Cloud Computing in Palestinian Ministry of Telecommunication and Information Technology: A Framework Development

Volume 6 Issue 1 January - June 2019

Research Paper

Adoption of Cloud Computing in Palestinian Ministry of Telecommunication and Information Technology: A Framework Development

Ramiz Assaf*

Department of Industrial Engineering, University of Business and Technology, Jeddah, Saudi Arabia.

Assaf, R.(2019). Adoption of Cloud Computing in Palestinian Ministry of Telecommunication and Information Technology: A Framework Development, i-manager's Journal on Cloud Computing, 6(1), 19-26. https://doi.org/10.26634/jcc.6.1.15491

Abstract

In the information technology sector cloud computing has clearly become very strong driving force by taking over 90% of global enterprises using cloud as major part of their business. This study aims to introduce a comprehensive framework for the adoption of Cloud Computing and to determine the influencing factors in Palestinian Ministry of Telecommunication and Information Technology from point of view of employees from the ministry. Depending on two prominent frameworks: Technology-Organization-Environment framework and Diffusion of innovation framework. The researcher used the quantitative methodology to answer the research question and test the hypotheses. The questionnaire was delivered to the employees and received from 69 respondents from 75 disrupted survey. In order to evaluate the internal, convergent and discriminant validity of the instrument, validity and reliability tests of panel data were performed. The linear regression analysis was deployed to test the research hypotheses and come out with findings, recommendations and future to consider it when developing a framework to adopt Statistical analysis shows that there are some factors were rejected and other were accepted. The supported factors were: Competitive Pressure, External Support, Security, Top Management Support and Organization Readiness and the others are not significant.

A Dynamic Replication Mechanism in Data Grid Based on a Weighted Priority-based Scheme

Volume 6 Issue 1 January - June 2019

Research Paper

A Dynamic Replication Mechanism in Data Grid Based on a Weighted Priority-based Scheme

Mohammad Samadi Gharajeh*

Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

Gharajeh, M. S.(2019). A Dynamic Replication Mechanism in Data Grid Based on a Weighted Priority-based Scheme, i-manager's Journal on Cloud Computing, 6(1), 9-18. https://doi.org/10.26634/jcc.6.1.15897

Abstract

Replication is one of the popular tools to determine the availability degree of resources (e.g., data files) in data grids. Since data grids involve limited file storages and high computing costs, replication process is very essential in these networks. This paper proposes a dynamic replication mechanism in a data grid that uses a weighted priority-based replication scheme, called WPRS. It specifies a value for existing each in a local storage based on three parameters including price, number of access time, and present time. When a resource is not available for a desired job, it is hired from other sites in the network. The proposed mechanism removes the file having the least value to increase the free space of data storage. Simulation results show that the proposed replication mechanism surpasses some of the existing replication methods in terms of the number of successful jobs, number of non successful jobs, and buy price.

A Taxonomy of Issues, Challenges and Applications in Internet of Multimedia Things (IoMMT)

Volume 6 Issue 1 January - June 2019

Article

A Taxonomy of Issues, Challenges and Applications in Internet of Multimedia Things (IoMMT)

G. Rama Subba Reddy*, M. Ajay kumar**, N. V. Kishore kumar***

* Department of Computer Science & Engineering, Mother Theresa Institute of Engineering & Technology, Palamaner, Andhra Pradesh, India.

** Department of Electronics and Communication Engineering, Chaitanya Bharathi Institute of Technology, Proddatur, Andhra Pradesh, India.

*** Department of Electrical and Electronics Engineering, Mother Theresa Institute of Engineering & Technology, Palamaner, Andhra Pradesh, India.

Reddy, G. R. S., Kumar, M. A., Kumar, N. V. K.(2019).A Taxonomy of Issues, Challenges and Applications in Internet of Multimedia Things (IoMMT), i-manager's Journal on Cloud Computing, 6(1), 1-8. https://doi.org/10.26634/jcc.6.1.16178

Abstract

In IoT technology, Multimedia big data which is said to be the large amount of data from multimedia devices will be generated with the fast growth of the multimedia gadgets. The IoT systems are failed in realizing the multimedia devices connectivity unless they are able in processing multimedia gadgets at a time. In contrast, earlier activities concerning research and development concentrate on the scaling strategies to sensor information gathered from many IoT gadgets. Nonetheless the present activities of development and the research do not made mandatory about the features of connectivity between the objects of multimedia. In this paper, we mainly concentrated on the above issue by considering the IoT concept and the advantages are taken to sight towards the IoMMT’s (Internet of Multimedia Things) vision. This paper describes the classification of computing the multimedia big data and also the challenges in models of multimedia computing along with the applications of IoT are discussed. . In addition to this we presented the taxonomy of Multimedia Things (MMT) along with the current research challenges like heterogeneity, reliability, scalability, and accessibility and Quality of Service requirements.

An Architectural Framework for Ant Lion Optimization-based Feature Selection Technique for Cloud Intrusion Detection System using Bayesian Classifier

Volume 5 Issue 2 July - December 2018

Survey Paper

An Architectural Framework for Ant Lion Optimization-based Feature Selection Technique for Cloud Intrusion Detection System using Bayesian Classifier

Haruna Atabo Christopher*, Jimoh Yakubu**, Shafi’i Muhammad Abdulhamid***, Abdulmalik D. Mohammed****

*-** PG Scholar, Department of Cyber Security Science, Federal University of Technology Minna, Nigeria.

*** Senior Lecturer and Head, Department of Cyber Security Science, Federal University of Technology Minna, Nigeria.

**** Research Scholar, University of Manchester, United Kingdom.

Christopher,H.A., Yakubu.J., Abdulhamid,S.M., Mohammed,A.D.(2018). An Architectural Framework for Ant Lion Optimization-based Feature Selection Technique for Cloud Intrusion Detection System using Bayesian Classifier, i-manager's Journal on Cloud Computing 5(2), 36-44. https://doi.org/10.26634/jcc.5.2.15691

Abstract

Cloud computing has become popular due to its numerous advantages, which include high scalability, flexibility, and low operational cost. It is a technology that gives access to shared pool of resources and services on pay per use and at minimum management effort over the internet. Because of its distributed nature, security has become a great concern to both cloud service provider and cloud users. That is why Cloud Intrusion Detection System (CIDS) has been widely used to the cloud computing setting, which detects and in some cases prevents intrusion. In this paper, the authors have proposed a conceptual framework that detects intrusion attacks within the cloud environment using Ant Lion Optimization (ALO) algorithm for feature selection and Bayesian Classifier. This framework is expected to detect cloud intrusion accurately at low computational cost and reduce false alert rate.

Data Quality Evaluation Framework for Big Data

Volume 5 Issue 2 July - December 2018

Review Paper

Data Quality Evaluation Framework for Big Data

Grace Amina Onyeabor *, Azman Ta’a**

*Lecturer Department of Information Science, University of Ibadan, Nigeria.

** Senior Lecturer, Department of Information Science, University of Ibadan, Nigeria.

Onyeabor,G.A., Ta’a,A.(2018). Data Quality Evaluation Framework for Big Data, i-manager's Journal on Cloud Computing 5(2), 27-35. https://doi.org/10.26634/jcc.5.2.15692

Abstract

Data is an important asset in all business organizations of today. Thus the results of its poor quality can be very grievous leading to erroneous insights. Therefore, Data Quality (DQ) needs to be evaluated before the analysis of any Big Data (BD). The evaluation of DQ in BD is challenging. Given the enormous datasets that are of varied format fashioned at a rapid speed, it is impossible to use the traditional methods of evaluating DQ in BD. Rather, there is a requirement of strategies and devices for the assessment and evaluation of DQ in BD in a rapid and more efficient manner. However, assessing the quality of data on the whole BD can be very expensive. In addition, there is also a need for improvement in data transformation activities of BD. This paper proposes a framework for DQ evaluation with the application of data sampling technique on BD sets from different data sources reducing the size of the data to samples representing the population of the BD sets. The Bag of Little Bootstrap (BLB) sampling technique will be used. The target Data Quality Dimensions (DQDs) to be used in this paper are completeness, consistency, and accuracy. In addition, the DQDs will be measured using different metric functions relevant to the DQDs. This will be done before and after an improved data transformation techniques to check the improvement of DQ in BD.