Cloud Computing Solutions Research Articles

A Review on Open Source Solution for Cloud Computing

A Review on Open Source Solution for Cloud Computing

Innovations in the use of data facilitating insurance as a resilience mechanism for coastal flood risk

Insurance plays a crucial role in human efforts to adapt to environmental hazards. Effective insurance can serve as both a measure to distribute, and a method to communicate risk. In order for insurance to fulfil these roles successfully, policy pricing and cover choices must be risk-based and founded on accurate information. This is reliant on a robust evidence base forming the foundation of policy choices. This paper focuses on the evidence available to insurers and emergent innovation in the use of data. The main risk considered is coastal flooding, for which the insurance sector offers an option for potential adaptation, capable of increasing resilience. However, inadequate supply and analysis of data have been highlighted as factors preventing insurance from fulfilling this role. Research was undertaken to evaluate how data are currently, and could potentially, be used within risk evaluations for the insurance industry. This comprised of 50 interviews with those working and associated with the London insurance market. The research reveals new opportunities, which could facilitate improvements in risk-reflective pricing of policies. These relate to a new generation of data collection techniques and analytics, such as those associated with satellite-derived data, IoT (Internet of Things) sensors, cloud computing, and Big Data solutions. Such technologies present opportunities to reduce moral hazard through basing predictions and pricing of risk on large empirical datasets. The value of insurers' claims data is also revealed, and is shown to have the potential to refine, calibrate, and validate models and methods. The adoption of such data-driven techniques could enable insurers to re-evaluate risk ratings, and in some instances, extend coverage to locations and developments, previously rated as too high a risk to insure. Conversely, other areas may be revealed more vulnerable, which could generate negative impacts for residents in these regions, such as increased premiums. However, the enhanced risk awareness generated, by new technology, data and data analytics, could positively alter future planning, development and investment decisions.

A QoE-perceived screen updates transmission scheme in desktop virtualization environment

As a solution for cloud computing, desktop virtualization realizes the remote execution of applications and feeds back execution results in the form of ”screen updates” through network, aiming to offer users the same experience as operating in local systems. It is challenging to achieve this goal since timeliness and reliability should be both guaranteed during the process of screen updates transmission, but the two requirements tend to be difficult to be satisfied simultaneously. Reliable transmission will induce more latency to perform reliable mechanisms, which can influence the timely delivery of screen updates. Timely transmission just provides a best-effort data delivery service, failing to react well to unfavorable network conditions. In order to cope with this problem, we propose a Partially Reliable Transmission Scheme (PRTS) for screen updates transmission in desktop virtualization environment. It tries to make trade-offs between timeliness and reliability and employs a QoE-perceived model to sense the visual quality experienced by users. Distinguished with existing transmission schemes, PRTS adjusts its sending strategy not only according to current network conditions, but also according to users’ QoE. The experimental results show that PRTS can improve the transmission efficiency of screen updates and also the visual quality in desktop virtualization environment under different network conditions.

Security and Privacy-Preserving Challenges of e-Health Solutions in Cloud Computing

A systematic and comprehensive review of security and privacy-preserving challenges in e-health solutions indicates various privacy preserving approaches to ensure privacy and security of electronic health records (EHRs) in the cloud. This paper highlights the research challenges and directions concerning cyber security to build a comprehensive security model for EHR. We carry an intensive study in the IEEE, Science Direct, Google Scholar, PubMed, and ACM for papers on EHR approach published between 2000 and 2018 and summarized them in terms of the architecture types as well as evaluation strategies. We surveyed, investigated, and reviewed various aspects of several articles and identified the following tasks: 1) EHR security and privacy; 2) security and privacy requirements of e-health data in the cloud; 3) EHR cloud architecture, and; 4) diverse EHR cryptographic and non-cryptographic approaches. We also discuss some crucial issues and the ample opportunities for advanced research related to security and privacy of EHRs. Since big data provide a great mine of information and knowledge in e-Health applications, serious privacy and security challenges that require immediate attention exist. Studies must focus on efficient comprehensive security mechanisms for EHR and also explore techniques to maintain the integrity and confidentiality of patients’ information.

Toward SLAs Guaranteed Scalable VDC Provisioning in Cloud Data Centers

Cloud computing has been a cost-efficient paradigm for deploying various applications in datacenters in recent years. Therefore, efficient provisioning for virtual data center (VDC) requests from different service providers (SPs) over physical data centers plays a vital role in improving the quality of service (QoS) and reducing the operational cost of SPs. Therefore, a significant attention has been paid for the VDC provisioning problem. However, few approaches have been proposed for the problem of reliable VDC embedding across multiple data centers, as most of them only consider the problem of VDC mapping within a single data center. In this paper, we study the problem of QoS-aware VDC provisioning across multiple data centers, such that the total bandwidth consumption in the inter-data center backbone network is minimized while satisfying the reliability requirement of each VDC request. We formulate this problem as a mathematical optimization problem by using integer linear programming (ILP) and propose an efficient heuristic algorithm called reliable VDC embedding (RVDCE) algorithm to solve this NP-hard problem. The simulation results show that the proposed algorithm performs better in terms of blocking ratio, CPU resource consumption, and bandwidth consumption of backbone network than the existing solution. In addition, this paper has also incorporated integrated security to minimize security vulnerabilities seen in other similar approaches. Apart from demonstrating how to resolve security challenges in our VDC proposal, cost calculations have been implemented to demonstrate the robustness, resiliency, validity, and effectiveness of the VDC provisioning solution for cloud computing.

Cloud computing utilization and mitigation of informational and marketing barriers of the SMEs from the emerging markets: Evidence from Iran and Turkey

This study seeks to investigate the effectiveness of Cloud Computing Utilization (CCU) in the mitigation of informational and marketing barriers for SMEs from the Emerging Market-Countries (EM-SMEs). A quantitative-research methodology was applied to collect data by using self-administered questionnaires from top managers of 227 SMEs based in Iran and Turkey. The study contributes theoretically to both small business and international business literature by developing a new classification of the internationalization barriers that EM-SMEs face, and proposing a series of cloud computing (CC) solutions for mitigating these barriers, resulting in the creation and testing of a new model. The empirical findings confirm that CCU can help EM-SMEs to mitigate a series of informational and marketing barriers. The key practical contributions of the study offer insights to both EM-SMEs and Cloud-Service-Providers (CSPs) on the extent to which CCU is effective in mitigating the internationalization barriers faced by EM-SMEs.

MASHED: Security and privacy-aware mutual authentication scheme for heterogeneous and distributed mobile cloud computing services

ABSTRACT Rapid development in mobile devices and cloud computing technologies has increased the number of mobile services from different vendors on the cloud platform. However, users of these services are facing different security and access control challenges due to the nonexistence of security solutions capable of providing secure access to these services, which are from different vendors, using a single key. An effective security solution for heterogeneous Mobile Cloud Computing (MCC) services should be able to guarantee confidentiality and integrity through single key-based authentication scheme. Meanwhile, a few of the existing authentication schemes for MCC services require different keys to access different services from different vendors on a cloud platform, thus increases complexity and overhead incurred through generation and storage of different keys for different services. In this paper, an efficient mutual authentication scheme for accessing heterogeneous MCC services is proposed. The proposed scheme combines the user’s voice signature with cryptography operations to evolve efficient mutual authentication scheme devoid of key escrow problem and allows authorized users to use single key to access the heterogeneous MCC services at a reduced cost.

The Role of Computerized Solutions in Consolidating Financial Results from the European and Anglo-Saxon Accounting Systems

Abstract The implementation of up-to-date technologies in the accounting system of modern entities is a topical subject, by the desire of enterprises to align themselves with the current of international globalization but also by the requirements imposed by the science and practice to join the accounting main issues in the field. The accounting technique evolved with the technological innovations, related to each evolutionary period of the human society. The paper aims to identifying the factors that influenced the whole process of the development of information technologies in the financial-accounting field; identifying the main issues related to the technological interaction in accounting and, in this context, identifying the tools and technological supports in the evolution of the accounting technique, from the empirical forms of accounting to the present day, in the age of globalization, amid the continuous need for normalization and standardization of accounting procedures, especially applicable to the consolidation of financial results. Nowadays, the most used digital technology in computerized accounting and management is Cloud-Computing ERP solutions, a form of digital accounting that will represent the critical mass of accounting information system in the near future, and this paper will present and discuss such solutions.

Security Issues in Cloud Computing Solution of DDOS and Introducing Two-Tier CAPTCHA

Security Issues in Cloud Computing Solution of DDOS and Introducing Two-Tier CAPTCHA

Security Issues in Cloud Computing and Existing Solutions- a Survey

Cloud computing is turning into an outstanding fluff word these days. It is an appealing innovation for long-haul benefits through cost diminishment and change in business results. It additionally tackles numerous issues of stereotyped processing, including taking care of more volume of burdens, introducing programming updates, and, utilizing overabundance figuring cycles. Regardless, the contemporary advancement has new troubles, for instance, data security, information inborn, and trans-code data storing. Cloud computing is consumed and compared to the modern transformation. Cloud administrations are conveyed from server farms, for example, Amazon, Google, Microsoft et cetera, all through the world. The quick blast in the territory of "Cloud computing" moreover expands outrageous wellbeing concerns. This paper review cloud structure and the monstrous evaluation of Cloud computing with the essential consideration on holes and security issues. We perceive the best security dangers and their present arrangements.

Towards a Fuzzy Bigraphical Multi Agent System for Cloud of Clouds Elasticity Management

A major ingredient that encourages the wide adoption of Cloud Computing solution is their ability to allocate and des-allocate resources in automatic and optimal manner according to customers' needs or what is referred to Cloud Elasticity. Indeed, Cloud Elasticity is influenced by different dependable factors, principally: unpredictable variable workload, Cloud resource limitation, possible system failures, etc. Thus, ensuring Cloud elastic behavior of systems is a very challenging task. Our first contribution is to propose a Multi Agent System for Cloud of Clouds Elasticity Management (MAS-C2EM). The interacting agents cooperate to ensure Cloud Elasticity through a set of strategic solutions at both micro (Intra Cloud Infrastructure/Intra Cloud Software) and macro (Inter Cloud) levels. We define the Inter Cloud Elasticity strategy using a novel Top Clouds Cooperation solution. The given strategy is based on the fuzzification of Pareto dominance mechanism. In the second contribution, we adopt Bigraphical Reactive System (BRS) as an effective formalism to specify the MAS-C2EM at both structural and behavioral aspects, resulting in the definition of Bigraphical Multi Agent System for Cloud of Clouds Elasticity Management (BigMAS-C2EM) semantical model. Besides, we formally analyze the model via some inherent properties using the model checker BigMC.

SaW: Video Analysis in Social Media with Web-Based Mobile Grid Computing

The burgeoning capabilities of Web browsers to exploit full-featured devices can turn the huge pool of social connected users into a powerful network of processing assets. HTML5 and JavaScript stacks support the deployment of social client-side processing infrastructure, while WebGL and WebCL fill the gap to gain full GPU and multi-CPU performance. Mobile Grid and Mobile Cloud Computing solutions leverage smart devices to relieve the processing tasks to be performed by the service infrastructure. Motivated to gain cost-efficiency, a social network service provider can outsource the video analysis to elements of a mobile grid as an infrastructure to complement an elastic cloud service. As long as users access to videos, batch image analysis tasks are dispatched from the server, executed in the background of the client-side hardware, and finally, results are consolidated by the server. This paper presents SaW (Social at Work) to provide a pure Web-based solution as a mobile grid to complement a cloud media service for image analysis on videos.

Exploring Data Security Issues and Solutions in Cloud Computing

Cloud computing is one of the fastest emerging technologies in computing. There are many advantages as well few security issues in cloud computing. This paper explores the different data security issues in cloud computing in a multi-tenant environment and proposes methods to overcome the security issues. This paper also describes Cloud computing models such as the deployment models and the service delivery models. In any business or Cloud Computing data are exceptionally important, data leaking or corruption can shatter the confidence of the people and can lead to the collapse of that business. Currently cloud computing is used directly or indirectly in many businesses and if any data breaching has happened in cloud computing, that will affect the cloud computing as well as the company’s business. This is one of the main reasons for cloud computing companies to give more attention to data security.

Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things

A brain-computer interface (BCI) for seizure prediction provides a means of controlling epilepsy in medically refractory patients whose site of epileptogenicity cannot be resected but yet can be defined sufficiently to be selectively influenced by strategically implanted electrodes. Challenges remain in offering real-time solutions with such technology because of the immediacy of electrographic ictal behavior. The nonstationary nature of electroencephalographic (EEG) and electrocorticographic (ECoG) signals results in wide variation of both normal and ictal patterns among patients. The use of manually extracted features in a prediction task is impractical and the large amount of data generated even among a limited set of electrode contacts will create significant processing delays. Big data in such circumstances not only must allow for safe storage but provide high computational resources for recognition, capture and real-time processing of the preictal period in order to execute the timely abrogation of the ictal event. By leveraging the potential of cloud computing and deep learning, we develop and deploy BCI seizure prediction and localization from scalp EEG and ECoG big data. First, a new method for epileptic seizure prediction and localization of the seizure focus is presented. Second, an extended optimization approach on existing deep-learning structures, Stacked Auto-encoder and Convolutional Neural Network (CNN), is proposed based on principle component analysis (PCA), independent component analysis (ICA), and Differential Search Algorithm (DSA). Third, a cloud-computing solution (i.e., Internet of Things (IoT)), is developed to define the proposed structures for real-time processing, automatic computing and storage of big data. The ECoG clinical datasets on 11 patients illustrate the superiority of the proposed patient-specific BCI as an alternative to current methodology to offer support for patients with intractable focal epilepsy.

GenomeVIP: a cloud platform for genomic variant discovery and interpretation.

Identifying genomic variants is a fundamental first step toward the understanding of the role of inherited and acquired variation in disease. The accelerating growth in the corpus of sequencing data that underpins such analysis is making the data-download bottleneck more evident, placing substantial burdens on the research community to keep pace. As a result, the search for alternative approaches to the traditional “download and analyze” paradigm on local computing resources has led to a rapidly growing demand for cloud-computing solutions for genomics analysis. Here, we introduce the Genome Variant Investigation Platform (GenomeVIP), an open-source framework for performing genomics variant discovery and annotation using cloud- or local high-performance computing infrastructure. GenomeVIP orchestrates the analysis of whole-genome and exome sequence data using a set of robust and popular task-specific tools, including VarScan, GATK, Pindel, BreakDancer, Strelka, and Genome STRiP, through a web interface. GenomeVIP has been used for genomic analysis in large-data projects such as the TCGA PanCanAtlas and in other projects, such as the ICGC Pilots, CPTAC, ICGC-TCGA DREAM Challenges, and the 1000 Genomes SV Project. Here, we demonstrate GenomeVIP's ability to provide high-confidence annotated somatic, germline, and de novo variants of potential biological significance using publicly available data sets.

“Security Issues and Solutions in Cloud Computing”.

“Security Issues and Solutions in Cloud Computing”.

Competitiveness of Polish enterprises in relation to the potential of cloud computing

Enterprises seek for possibilities to limit the costs and for areas that stimulate the level of innovation. Both of these aspects can be effectively supported by application of cloud computing, without a simultaneous need to make a choice of a trade-off type. The aim of the article is to prove that cloud computing provides entrepreneurs with the possibility to limit the costs and at the same time to support their activities related to the selected direction of innovation development. It has both a direct influence on the level and structure of costs in the enterprise, as well as an indirect influence, e.g. related to shortening the time for introduction of new solutions to the market, making decisions or limiting the costs of projects.

A Hybrid Approach of Genetic Algorithm and Multi Objective PSO Task Scheduling in Cloud Computing

The genetic algorithm is an evolutionary optimization algorithm based upon Initial population, crossover, mutation and Evaluation. On the other side, Multi Objective particle swarm optimization (MOPSO) is a swarm intelligence algorithm functioning by means of inertia weight, learning factors and the mutation probability. In high-performance hyper-heuristic algorithm is used to find better scheduling solutions in cloud computing. To improve the scheduling results in terms of makespan, throughput, cost. Hyper-heuristic algorithm finds better scheduling solutions for cloud computing systems and to further improve the scheduling results in terms of make span. A novel Multi objective particle swarm optimization and Genetic Algorithm based hyper-heuristic resource scheduling algorithm has been designed as the hybrid algorithm. Performance of the proposed algorithm has also been evaluated through the Cloud Sim toolkit. We have compared our hybrid scheduling algorithm with existing common heuristic-based scheduling algorithms. The results thus obtained have shown a better performance by our algorithm than the existing algorithms, in terms of giving reduce cost and improve makespan. The proposed model shows the improved resource utilization, makespan, throughput.

Fragmentation and Dynamic Replication Model in Multicloud by Data Hosting with Secured Data Sharing

Cloud Computing that can be provisioned for data hosting and data management. The cloud providers are hosting their data through different strategies. Enterprises and organizations are looking for service availability and to enhance the data reliability. Several Organizations has used single cloud-providers, but it has become less popular along with the customers due to risks of service availability failure. In this paper, division and dynamic replication of data management in the cloud storage has been proposed with few security aspects in which secured data sharing can be implemented. In replication model its divides a file into fragments and that file is replicated over the cloud nodes. In T-Coloring each node stores only single fragment even in case of successful attack, no meaningful information is revealed to the attacker and the nodes are placed with certain design. It reduces the access latency and improves data availability and data access. The system improves the data retrieval time and reconstructs the original cover. Cloud computing and storage solutions facilitate the users to store and process the data in third-party data centers. The privacy and security of group sharing data can be improved in this framework which combines proxy re-encryption, one time password verification and regular elimination of unwanted files. By applying proxy re-encryption, most computationally rigorous operations can be delegated to cloud servers without revealing any private information. One time secret key is one of the simplest and prominent type compared to the text based passwords, it can be utilized for securing access to accounts. The performance and results illustrates that our proposed scheme has the prospective to be successfully used for secure data sharing in the cloud

Key Issues for the Successful Adoption of Cloud Computing

Cloud Computing constitutes an alternative for organizations who do not intend to invest in in-house IT resources. It offers a service model on the premise that the consumer has at its disposal the means for manipulating information, over the internet, according to its current needs. However, outsourcing IT poses various challenges, such as the effective control of IT, attention to an increasing number of threats posed by the Internet ecosystem and concerns regarding the efficient use of resources. Hence, the uncertainties about the migration to Cloud Computing can have a negative impact on the adoption of this technology. In order to better inform the decision process launched by organizations considering the alternative of Cloud Computing, this study presents a list of key issues compiled from literature that could assist IT managers steering the organization towards the path of adopting Cloud Computing solutions efficiently and securely. In addition, to better understand those issues and rank them in terms of importance, interviews were conducted with IT directors of enterprises that use and provide Cloud services, endowing the list of issues with the views of practitioners that successfully experienced the migration to the Cloud environment.