Privacy-by-design cloud computing through decentralization and real life trust

2013 ◽  
Author(s):  
Leucio Antonio Cutillo ◽  
Antonio Lioy
Keyword(s):  
Cloud Computing ◽  
Real Life ◽  
Privacy By Design

Using Free Software for Elastic Web Hosting on a Private Cloud

2012 ◽  
pp. 733-748
Author(s):  
Roland Kübert ◽  
Gregory Katsaros
Keyword(s):  
Cloud Computing ◽  
Real Life ◽  
Free Software ◽  
Technical Solution ◽  
Use Case ◽  
Cloud Infrastructure ◽  
Private Cloud ◽  
Software Applications ◽  
Experimental Laboratory ◽  
And Storage

Even though public cloud providers already exist and offer computing and storage services, cloud computing is still a buzzword for scientists in various fields such as engineering, finance, social sciences, etc. These technologies are currently mature enough to leave the experimental laboratory in order to be used in real-life scenarios. To this end, the authors consider that the prime example use case of cloud computing is a web hosting service. This paper presents the architectural approach as well as the technical solution for applying elastic web hosting onto a private cloud infrastructure using only free software. Through several available software applications and tools, anyone can build their own private cloud on top of a local infrastructure and benefit from the dynamicity and scalability provided by the cloud approach.

Using Free Software for Elastic Web Hosting on a Private Cloud

2013 ◽  
pp. 97-111
Author(s):  
Roland Kübert ◽  
Gregory Katsaros
Keyword(s):  
Cloud Computing ◽  
Real Life ◽  
Free Software ◽  
Technical Solution ◽  
Use Case ◽  
Cloud Infrastructure ◽  
Private Cloud ◽  
Software Applications ◽  
Experimental Laboratory ◽  
And Storage

Even though public cloud providers already exist and offer computing and storage services, cloud computing is still a buzzword for scientists in various fields such as engineering, finance, social sciences, etc. These technologies are currently mature enough to leave the experimental laboratory in order to be used in real-life scenarios. To this end, the authors consider that the prime example use case of cloud computing is a web hosting service. This paper presents the architectural approach as well as the technical solution for applying elastic web hosting onto a private cloud infrastructure using only free software. Through several available software applications and tools, anyone can build their own private cloud on top of a local infrastructure and benefit from the dynamicity and scalability provided by the cloud approach.

Adaptive Threshold Based Scheduler for Batch of Independent Jobs for Cloud Computing System

2021 ◽  
pp. 2246-2266
Author(s):  
TAJ ALAM ◽  
PARITOSH DUBEY ◽  
ANKIT KUMAR
Keyword(s):  
Cloud Computing ◽  
Distributed Systems ◽  
High Performance ◽  
Large Scale ◽  
Real Life ◽  
Interval Estimation ◽  
Computing System ◽  
Adaptive Threshold ◽  
Batch Simulation ◽  
Heterogeneous Distributed Systems

Distributed systems are efficient means of realizing high-performance computing (HPC). They are used in meeting the demand of executing large-scale high-performance computational jobs. Scheduling the tasks on such computational resources is one of the prime concerns in the heterogeneous distributed systems. Scheduling jobs on distributed systems are NP-complete in nature. Scheduling requires either heuristic or metaheuristic approach for sub-optimal but acceptable solutions. An adaptive threshold-based scheduler is one such heuristic approach. This work proposes adaptive threshold-based scheduler for batch of independent jobs (ATSBIJ) with the objective of optimizing the makespan of the jobs submitted for execution on cloud computing systems. ATSBIJ exploits the features of interval estimation for calculating the threshold values for generation of efficient schedule of the batch. Simulation studies on CloudSim ensures that the ATSBIJ approach works effectively for real life scenario.

scholarly journals Security and Cryptographic Challenges for Authentication Based on Biometrics Data

Cryptography ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 39 ◽  
Author(s):  
Stefania Nita ◽  
Marius Mihailescu ◽  
Valentin Pau
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Smart Cities ◽  
Clustering Algorithms ◽  
Security Analysis ◽  
Real Life ◽  
Analysis Tool ◽  
Biometric Analysis ◽  
Wide Range ◽  
Government Education

Authentication systems based on biometrics characteristics and data represents one of the most important trend in the evolution of the society, e.g., Smart City, Internet-of-Things (IoT), Cloud Computing, Big Data. In the near future, biometrics systems will be everywhere in the society, such as government, education, smart cities, banks etc. Due to its uniqueness, characteristic, biometrics systems will become more and more vulnerable, privacy being one of the most important challenges. The classic cryptographic primitives are not sufficient to assure a strong level of secureness for privacy. The current paper has several objectives. The main objective consists in creating a framework based on cryptographic modules which can be applied in systems with biometric authentication methods. The technologies used in creating the framework are: C#, Java, C++, Python, and Haskell. The wide range of technologies for developing the algorithms give the readers the possibility and not only, to choose the proper modules for their own research or business direction. The cryptographic modules contain algorithms based on machine learning and modern cryptographic algorithms: AES (Advanced Encryption System), SHA-256, RC4, RC5, RC6, MARS, BLOWFISH, TWOFISH, THREEFISH, RSA (Rivest-Shamir-Adleman), Elliptic Curve, and Diffie Hellman. As methods for implementing with success the cryptographic modules, we will propose a methodology which can be used as a how-to guide. The article will focus only on the first category, machine learning, and data clustering, algorithms with applicability in the cloud computing environment. For tests we have used a virtual machine (Virtual Box) with Apache Hadoop and a Biometric Analysis Tool. The weakness of the algorithms and methods implemented within the framework will be evaluated and presented in order for the reader to acknowledge the latest status of the security analysis and the vulnerabilities founded in the mentioned algorithms. Another important result of the authors consists in creating a scheme for biometric enrollment (in Results). The purpose of the scheme is to give a big overview on how to use it, step by step, in real life, and how to use the algorithms. In the end, as a conclusion, the current work paper gives a comprehensive background on the most important and challenging aspects on how to design and implement an authentication system based on biometrics characteristics.

scholarly journals Allowing Schools Access to Affordable Computers. How Schools Can Benefit From Switching to Inexpensive, Cloud-Based Computing Technologies

2017 ◽  
Vol 9 (3) ◽  
pp. 326-331
Author(s):  
Zhanat Abdugulova
Keyword(s):  
Cloud Computing ◽  
Technology Education ◽  
Computer Programming ◽  
Computer Systems ◽  
Real Life ◽  
Computing Technology ◽  
Computing Technologies ◽  
Desktop Computers ◽  
Software Updates ◽  
Computer Labs

AbstractNowadays schools own computer labs and laptop carts developed to be shared among a large quantity of students and this task requires buying desktop computers and other necessary inventory that create opportunities for them to achieve skills in basic computer programming, internet browsing, etc. Unfortunately, schools cannot afford expensive desktop computers, which require maintaining services and software updates and Chromebook become a real life solution for that issue, because it does not require any expensive maintaining operations and it uses Cloud- Based System for all data that students have. Keywords: Cloud computing; Technology Education; Non-Cloud-Based Computer Systems; Cloud- Based Computer;

scholarly journals PPK-Means: Achieving Privacy-Preserving Clustering Over Encrypted Multi-Dimensional Cloud Data

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 310 ◽  
Author(s):  
Hui Yin ◽  
Jixin Zhang ◽  
Yinqiao Xiong ◽  
Xiaofeng Huang ◽  
Tiantian Deng
Keyword(s):  
Cloud Computing ◽  
Data Clustering ◽  
Data Privacy ◽  
Real Life ◽  
Data Encryption ◽  
Privacy Preserving ◽  
Data Sets ◽  
Cloud Data ◽  
Practical Applications ◽  
Computing Paradigm

Clustering is a fundamental and critical data mining branch that has been widely used in practical applications such as user purchase model analysis, image color segmentation, outlier detection, and so on. With the increasing popularity of cloud computing, more and more encrypted data are converging to cloud computing platforms for enjoying the revolutionary advantages of the cloud computing paradigm, as well as mitigating the deeply concerned data privacy issues. However, traditional data encryption makes existing clustering schemes no more effective, which greatly obstructs effective data utilization and frustrates the wide adoption of cloud computing. In this paper, we focus on solving the clustering problem over encrypted cloud data. In particular, we propose a privacy-preserving k-means clustering technology over encrypted multi-dimensional cloud data by leveraging the scalar-product-preserving encryption primitive, called PPK-means. The proposed technique is able to achieve efficient multi-dimensional data clustering as well to preserve the confidentiality of the outsourced cloud data. To the best of our knowledge, our work is the first to explore the privacy-preserving multi-dimensional data clustering in the cloud computing environment. Extensive experiments in simulation data-sets and real-life data-sets demonstrate that our proposed PPK-means is secure, efficient, and practical.

scholarly journals A Resource-aware Container Management Scheme in a Heterogeneous Cluster

2021 ◽  
Author(s):  
Yiwen Chen
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Real Life ◽  
Management Tool ◽  
Heterogeneous Cluster ◽  
Management Scheme ◽  
Important Player ◽  
Resource Aware ◽  
Internet Revolution

Cloud computing nowadays is not an emerging topic, and virtualization is an indispensable technology to expedite cloud computing to become the next sign of the coming Internet revolution. In real life, scientists never stop at exploring the possibilities from such technology by investigating millions of experiments and applications to enhance the quality of virtual services. However, isolated construction for the virtual machine doesn’t save the technology from unwanted data volumes or insensitive processing time. Containers are created to address such problems, by distributing applications without initiating the entire virtual machine. Docker, as an important player in this game, is an open-source application of the container family. The management tool from Docker containers, Swamskit, does not take heterogeneities in either virtualized containers or physical nodes. There are different nodes in the cluster, and each node is different in configurations, resource availability, or concerning resource, etc. Furthermore, the requirements initiated by different services change all the time. The demand might be CPU-intensive (e.g. Clustering services) and also memory-intensive (e.g. Web services), or completely at the opposite. In this paper, we focus on exploring the Docker container cluster and designing, DRAPS, a resource-aware placement scheme, to improve the system performance in a heterogeneous cluster.

scholarly journals Effective task scheduling algorithm in cloud computing with quality of service alert bees and grey wolf optimization

2022 ◽  
Vol 25 (1) ◽  
pp. 550
Author(s):  
Nidhi Bansal ◽  
Ajay Kumar Singh
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Technology Development ◽  
Mathematical Proof ◽  
Scheduling Algorithm ◽  
Real Life ◽  
Optimization Method ◽  
Numerical Comparison ◽  
Scheduling Problems ◽  
Grey Wolf

Quality-based services are an indicative factor in providing a meaningful measure. These measures allow labeling for upcoming targets with a numerical comparison with a valid mathematical proof of reading and publications. By obtaining valid designs, organizations put this measure into the flow of technology development operations to generate higher profits. Since the conditions were met from the inception of cloud computing technology, the market was captured heavily by providing support through cloud computing. With the increase in the use of cloud computing, the complexity of data has also increased greatly. Applying natural theory to cloud technology makes it a fruit cream. Natural methods often come true, because survival depends on the live events and happenings, so using it in real life as well as any communication within technology will always be reliable. The numerical results are also showing a better value by comparing the optimization method. Finally, the paper introduces an adaptation theory with effective cloudsim coding of honey bees and grey wolf in conjunction with their natural life cycle for solving task scheduling problems. Using adapted bees improved the results by 50% compared with the original bees and secondly by honeybees and grey wolf improved 60%.

scholarly journals Understanding the Security, Privacy and Trust Challenges of Cloud Computing

2012 ◽  
Author(s):  
Debabrata Nayak
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Real Life ◽  
Cloud Service ◽  
Evidence Base ◽  
Public Authorities ◽  
Open Questions ◽  
Policy Objectives ◽  
Regulatory Bodies ◽  
Additional Value

The overall objective of this paper is to understand the Security, Privacy and Trust Challenges and to advise on policy and other interventions which should be considered in order to ensure that Indian users of cloud environments are offered appropriate protections, and to underpin Indian cloud ecosystem. Cloud computing is increasingly subject to interest from policymakers and regulatory authorities. The Indian regulator needs to develop a pan-Indian ‘cloud strategy’ that will serve to support growth and jobs and build an innovation advantage for India. However, the concern is that currently a number of challenges and risks with respect to security, privacy and trust exist that may undermine the attainment of these policy objectives. Our approach has been to undertake an analysis of the technological, operational and legal intricacies of cloud computing, taking into consideration the Indian dimension and the interests and objectives of all stakeholders (citizens, individual users, companies, cloud service providers, regulatory bodies and relevant public authorities). This paper represents an evolutionary progression in understanding the implications of cloud computing for security, privacy and trust. Starting from an overview of the challenges identified in the area of cloud, the study builds upon real-life case study implementations of cloud computing for its analysis and subsequent policy considerations. As such, we intend to offer additional value for policymakers beyond a comprehensive understanding of the current theoretical or empirically derived evidence base, which will understand the cloud computing and the associated open questions surrounding some of the important security, privacy and trust issues.

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