scholarly journals REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS

2019 ◽  
Vol 01 (03) ◽  
pp. 176-188
Author(s):  
Samuel Manoharan J

The cloud that frame the future of the computing has become more popular nowadays due to its numerous attractive benefits such as self-servicing, resource-pooling, elasticity, improved-scalability, resilience , and operational and migration flexibility. This server-client model with the pay per usage facility is described by the NIST as the enabling, on-demand, convenient-network access, with shared pool of computing resources that are provided swiftly with the minimal efforts of management and interactions. The paper gives a brief review on the continuous cloud computing services, explaining its ubiquity, and then proceeds with the usefulness of the cloud services in the personal mobile network, that could enable an enhancement in the performance of the personal mobile network in the future.

Author(s):  
Yulin Yao

Cloud Computing has offered many services to organizations and individuals. The emerging types of services such as analytics, mobile services and emerging software as a service have been offered but there is a lack of analysis on the current status. Core technologies for emerging Cloud services have been identified and presented. This brief opinion paper provides an overview of the current emerging Cloud services and explains the benefits for several disciplines. Four areas have been identified that may bring in more positive impacts for the future direction.


2019 ◽  
pp. 2213-2218
Author(s):  
Yulin Yao

Cloud Computing has offered many services to organizations and individuals. The emerging types of services such as analytics, mobile services and emerging software as a service have been offered but there is a lack of analysis on the current status. Core technologies for emerging Cloud services have been identified and presented. This brief opinion paper provides an overview of the current emerging Cloud services and explains the benefits for several disciplines. Four areas have been identified that may bring in more positive impacts for the future direction.


2021 ◽  
pp. 3-26
Author(s):  
W Kuan Hon ◽  
Christopher Millard ◽  
Jatinder Singh

This chapter defines what cloud computing is. The National Institute of Standards and Technology (NIST) has set out a commonly used definition of cloud computing. Under this definition, a 'computing capacity' will qualify as a 'cloud service' if it has the following five characteristics: on-demand self-service; broad network access; resource pooling; rapid elasticity; and measured service. In terms of business models, cloud computing resources are typically offered 'as a Service'. Traditionally, cloud computing services were typically described as falling into one or more of the following three service categories or models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The chapter then looks at the key concepts of the cloud supply chain.


2021 ◽  
Vol 27 (2) ◽  
Author(s):  
H. Hamza ◽  
A.F.D Kana ◽  
M.Y. Tanko ◽  
S. Aliyu

Cloud computing is a model that aims to deliver a reliable, customizable and scalable computing environment for end-users. Cloud computing is one of the most widely used technologies embraced by sectors and academia, offering a versatile and effective way to store and retrieve documents. The performance and efficiency of cloud computing services always depend upon the performance of the execution of user tasks submitted to the cloud system. Scheduling of user tasks plays a significant role in improving the performance of cloud services. Accordingly, many dependent task scheduling algorithms have been proposed to improve the performance of cloud services and resource utilization; however, most of the techniques for determining which task should be scheduled next are inefficient. This research provided an enhanced algorithm for scheduling dependent tasks in cloud that aims at improving the overall performance of the system. The Dependent tasks were represented as a directed acyclic graph (DAG) and the number of dependent tasks and their total running time were used as a heuristic for determining which path should be explored first. Best first search approach based on the defined heuristic was used to traverse the graph to determine which task should be scheduled next. The results of the simulation using WorkflowSim toolkit showed an average improvement of 18% and 19% on waiting time and turnaround time were achieved respectively.


2013 ◽  
Vol 660 ◽  
pp. 196-201 ◽  
Author(s):  
Muhammad Irfan ◽  
Zhu Hong ◽  
Nueraimaiti Aimaier ◽  
Zhu Guo Li

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.


2021 ◽  
Vol 11 (18) ◽  
pp. 8496
Author(s):  
Salah T. Alshammari ◽  
Khalid Alsubhi

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is versatile, and extensive amounts of data can be stored in the cloud. Businesses can access various services over the cloud without having to install applications. However, cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Although there are a number of advantages to cloud computing services, especially for business owners, various challenges are posed in terms of the privacy and security of information and online services. A threat that is widely faced in the cloud environment is the on/off attack, in which entities exhibit proper behavior for a given time period to develop a positive reputation and gather trust, after which they exhibit deception. Another threat often faced by trust management services is a collusion attack, which is also known as collusive malicious feedback behavior. This is carried out when a group of people work together to make false recommendations with the intention of damaging the reputation of another party, which is referred to as a slandering attack, or to enhance their own reputation, which is referred to as a self-promoting attack. In this paper, a viable solution is provided with the given trust model for preventing these attacks. This method works by providing effective security to cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on/off attacks and collusion attacks by applying different security criteria. Finally, the results show that the proposed trust model system can provide high security by decreasing security risk and improving the quality of decisions of data owners and cloud operators.


Author(s):  
Nur Widiyasono ◽  
Imam Riadi ◽  
Ahmad Luthfie

<p>Cloud services are offered by many cloud service providers, but in for large companies generally are build  by a private cloud computing. In cloud systems of abuse it can be done by internal users or due to misconfiguration or may also refer to weaknesses in the system. This study evaluated the ADAM method (Advanced Data Acquisition Model) and tested the case schemes which are being carried out in the laboratory simulation of the process in order to obtain forensic evidence of digital data on private cloud computing services. Referring to the results of the investigation process by using ADAM Method, it can be verified that there are several parameters of the success investigation including the structure of files, files, time stamp, mac-address, IP address, username password, and the data from a server both from the desktop PC or smartphone, therefore the investigation by using ADAM can be succesed properly and correctly. Another contribution of this study was to identify the weaknesses of the service system that used owncloud in users list of the the same group can change another’s user’s passwod.</p>


TEM Journal ◽  
2020 ◽  
pp. 915-923 ◽  
Author(s):  
Ekkachat Baikloy ◽  
Prasong Praneetpolgrang ◽  
Nivet Jirawichitchai

The research objectives were: 1) to develop cyber resilient model, 2) to develop the cyber resilient capability maturity model and 3) to develop self-assessment model for cyber resilient capability of cloud computing services which are qualitative and applicative research. Referring to the cybersecurity concept from National Institute of Standards and Technology (NIST) from the in-depth interview, focusgroup discussion was developed with cybersecurity experts and data collection from cloud services providers. It was found that trend of cyber-attacks was violent with smarter method. The authors had synthesized the concept of cyber resilient capability maturity model for cloud computing services including developed application for cloud services providers to evaluate their organization in order to improve the better cybersecurity level in cloud computing services and the cyber resilient capability maturity model in the future.


2019 ◽  
pp. 459-469
Author(s):  
Alan S. Weber

This chapter describes effective strategic analysis and implementation methods for the adoption of cloud computing services (infrastructure, platforms, and software) in Science, Technology, Engineering, and Mathematics (STEM) education. The benefits of cloud computing, including lower costs, scalability and virtualization capabilities, have been recognized and adopted by major educational, governmental and research institutions internationally during the last five years. However, the term ‘cloud computing' was only recently clarified in 2011 in the NIST's standard definition published by Mell and Grance (2012) as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Despite the increasing clarity in defining cloud computing, the deployment models can be complex, encompassing hybrid, public, community and private cloud frameworks, all with varying levels of privacy, security, and trust. Data format, integrity, and portability as well as geographical server location represent additional factors that educational institutions must weigh when they consider adopting a cloud solution for their educational needs. The chapter provides advice on how to strategically plan for the use of cloud computing services and how to identify, weigh and assess the various factors in decision-making. Just as with e-learning when it was found at the end of the 1990s that purely online technological approaches were not as effective as pedagogical models (blended learning) which took into account human factors such as student motivation, teacher training, technological illiteracy, etc., the author suggests that a holistic technology adoption process that includes needs assessment and stakeholder engagement will be the most successful.


2016 ◽  
pp. 1283-1315
Author(s):  
Omondi John Opala ◽  
Shawon S. M. Rahman ◽  
Abdulhameed A. Alelaiwi

Cloud computing is synonymous with outsourced data center management and agile solution architecture that improves the scalability for delivery of services for enterprises. It has the capability to revolutionize how data is delivered from commodity to Information Technology as a service. At its core, Cloud computing is a new approach to distributed computing and shared pooling of IT infrastructure linked together to offer centralized IT services on demand. Companies that provide Cloud computing services manage multiple virtualized computation systems that allow for dynamic on-demand provisioning of IT delivery as services. This chapter presents a study of the factors that influence the adoption of Cloud computing in enterprises based on managements' perception of security, cost-effectiveness, and IT compliance. The results of a linear regression analysis testing are presented, which indicate that managers' perceptions of cost-effectiveness and IT compliance are more significantly correlated to the enterprise adoption of Cloud computing than security.


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