Commonly, the technology of information scales by an order of magnitude and with high probability reinvents itself every five years or so. However, the long-standing dream has definitely become a reality today that saying you need merely a credit card to get on-demand instant accesses to a large pool of thousands, if not millions of computers founded in tens of data centers scattered across the globe.

As a matter of fact, Cloud Computing is indeed a new radical paradigm shift that evolved out of utmost needs for hosting and delivering all the things electronically as well-defined services over the Internet. Its aim is not only to provide improved computerized services but also innovative ones to every user from ordinary-home end-users to professional workers.

Another further long-held dream of computing that has recently emerged as a reality is the CloudIoT paradigm where the cloud-based application platforms are enhanced to generate smart decisions and usable intelligence based on Internet-connected semi-autonomous smart small sensors that can sense, interrupt, and interchange data between each other as well as with the same computing clouds.

With the intention of reaching the right cloud computing vision, it is, however, insufficient to just track a set of research and development actions that address the major concerns without practical support from both industrial and research communities. Rather, there is a necessity to enact a series of insight development strategies and policies that not only ensure that the right issues are well-timed addressed, but also that the most appropriate actions are taken and accomplished.

Additionally, one of the key points to consider in this paper is that this in-depth evaluation of using Cloud computing may find points lacking in the cloud environments that could open up new research opportunities to be further investigated or enable new speed-to-market scenarios.

/pdf/cloud-iot-as-a-crucial-enabler-a-survey-and-taxonomy-peixmhe6vr.pdf

Cloud IoT as a Crucial Enabler: a Survey and Taxonomy

The implementation of systems and information technology has become the company's main strategy to remain able to compete in an increasingly competitive business climate. Information systems have a role to help manage business processes effectively and efficiently. Case studies on PT XYZ companies show that the use of IS / IT has not been optimal in supporting the sustainability of its business processes. This is due to the absence of information technology architecture planning that is aligned with the company's business strategy, especially related to the Enterprise Architecture (EA) which consists of Business Architecture, Data Architecture, Application Architecture and Technology Architecture. Business processes and organizational activities. This study aims to design cloud computing-based Enterprise Architecture (EA) for PT. TELIN using the TOGAF ADM method as a framework. The integration between Enterprise Architecture (EA) and cloud computing brings great benefits to the company. Cloud Computing provides elasticity in software and hard solutions in organizations, while Enterprise Architecture (EA) guarantees compatibility between business strategies and IT strategies. This study produced the architectural design of the company PT. TELIN is done by looking at business strategies in the process of production and product distribution with the aim of supporting the implementation of the company's information system as a whole, resolving the problem of information system integration, and increasing effectiveness and efficiency in the implementation of information technology infrastructure.

Enterprise Architectural Design Based on Cloud Computing using TOGAF (Case Study: PT. TELIN)

Cluster computing was introduced to replace the superiority of super computers. Cluster computing is able to overcome the problems that cannot be effectively dealt with supercomputers. In this paper, we are going to evaluate the performance of cluster computing by executing one of data mining techniques in the cluster environment. The experiment will attempt to predict the flight delay by using linear regression algorithm with apache spark as a framework for cluster computing. The result shows that, by involving 5 PCs in cluster environment with equal specifications can increase the performance of computation up to 39.76% compared to the standalone one. Attaching more nodes to the cluster can make the process become faster significantly.

pdf/performance-evaluation-of-linear-regression-algorithm-in-uzxyoppy1d.pdf

Performance Evaluation of Linear Regression Algorithm in Cluster Environment.

The surge in the number of services being provided off cloud-based servers in recent times, has led to a concern in the security of these platforms. It is thus highly important to have in place systems which can efficiently recognize and alert the system administrators about malicious activities on the cloud platform. Further, it is desirable to know the kind of attack being made on the cloud server to better understand and mitigate the threats. The usage of Artificial Neural Networks(ANN) has been found in Intrusion Detection Systems(IDS). To bring these systems closer to the biological model of the neural system, in this paper, the authors have deployed Spiking Neural Networks (SNN) to create a highly efficient IDS. SNNs deploy spiking neurons which mimic the biological neuron more closely than the artificial neuron model which is an overly simplified mathematical model. In this paper, the authors propose a hybrid SNN-ANN model which achieves a high degree of accuracy in identifying and classifying malicious connections on the network into their type of attack using the NSL-KDD dataset.

A Novel SNN-ANN based IDS in Cloud Environment

The present study describes the current relevance of designing a Disaster Recovery Plan (DRP) for modern businesses, even more for those which have a Data Center (DC) inside their infrastructures. The main purpose of any DRP is to achieve the continuity of the most important services for the enterprise, this being more important in times of COVID-19 pandemic due to the extreme technological dependence required. DRPs try to minimize the risks that may cause any affectation on a critical service. Based on field studies, a risk analysis is executed according to ISO27001 standard and a risk treatment matrix is done to reduce the emergence probability, having identified the power back-up failure as the main risk in the analyzed DC. A private cloud-based recovery design is also proposed in the event of a possible impact due to power and back-up procedure failures. According to the final analysis and execution of the DRP, it is concluded that the recovery of service is performed in an adequate time to preserve the critical business services running, despite electrical failures.

DRP Analysis: Service Outage in Data Center due to Power Failures

With the invention of new technology and the need of data storage cloud computing has become a scalable services in consumption and delivery in the field of Computing. Technically the goals of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software. The Cloud Computing is to basically concern with the sharing of resources among the cloud service consumers, partners, and vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud, software cloud, application cloud (e.g., Application as a Service), and business cloud (e.g., business process as a service).Using cloud help us sharing the hardware and software resources which reduces the management and resources cost and gives good potential to the business.

/pdf/cloud-computing-architecture-services-3lkbcwr8ua.pdf

Cloud Computing Architecture& Services

Virtualization and cloud computing is creating a fundamental change in computer architecture, software and tools development, in the way we store, distribute and consume information. In the recent era of autonomic computing it comes the importance and need of basic concepts of having and sharing various hardware and software and other resources & applications that can manage themself with high level of human guidance. Virtualization or Autonomic computing is not a new to the world, but it developed rapidly with Cloud computing. In this paper there give an overview of various types of computing. There will be discussion on Cluster, Grid computing, Utility & Cloud Computing. Analysis architecture, differences between them, characteristics , its working, advantages and disadvantages.

/pdf/analyzing-the-difference-of-cluster-grid-utility-cloud-31wr054plo.pdf

Analyzing the Difference of Cluster, Grid, Utility & Cloud Computing

As continuously new technologies are evolved new threats and risks are making way and making information security a tedious task, where organizations, institutions and individuals are spending on latest technologies the question that arise is are we secured enough ? Information security plays an important role in the ongoing development of information technology, as well as Internet services. Making the Internet safer (and protecting Internet users) has become integral to the development of new services and policies for any organization. In this paper we will highlight the latest threats evolved with emerging cyber technologies their impact and how it can be prevented.

/pdf/a-study-on-emerging-cyber-technologies-threats-and-qzlu3rpggp.pdf

A study on Emerging Cyber Technologies, Threats and Prevention in Information S

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Cloud Computing Architecture& Services

Analyzing the Difference of Cluster, Grid, Utility & Cloud Computing

A study on Emerging Cyber Technologies, Threats and Prevention in Information S