Uncertainty-aware Decisions in Cloud Computing

2021 ◽  
Vol 54 (4) ◽  
pp. 1-30
Author(s):  
H. M. Dipu Kabir ◽  
Abbas Khosravi ◽  
Subrota K. Mondal ◽  
Mustaneer Rahman ◽  
Saeid Nahavandi ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Intelligent Systems ◽  
Uncertain Parameters ◽  
Optimal Management ◽  
Cloud Infrastructure ◽  
Vast Number ◽  
Cloud Management ◽  
Different Types ◽  
Entire World ◽  
Different Levels

The rapid growth of the cloud industry has increased challenges in the proper governance of the cloud infrastructure. Many intelligent systems have been developing, considering uncertainties in the cloud. Intelligent approaches with the consideration of uncertainties bring optimal management with higher profitability. Uncertainties of different levels and different types exist in various domains of cloud computing. This survey aims to discuss all types of uncertainties and their effect on different components of cloud computing. The article first presents the concept of uncertainty and its quantification. A vast number of uncertain events influence the cloud, as it is connected with the entire world through the internet. Five major uncertain parameters are identified, which are directly affected by numerous uncertain events and affect the performance of the cloud. Notable events affecting major uncertain parameters are also described. Besides, we present notable uncertainty-aware research works in cloud computing. A hype curve on uncertainty-aware approaches in the cloud is also presented to visualize current conditions and future possibilities. We expect the inauguration of numerous uncertainty-aware intelligent systems in cloud management over time. This article may provide a deeper understanding of managing cloud resources with uncertainties efficiently to future cloud researchers.

Does cloud computing improve team performance and employees' creativity?

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jing Zou ◽  
Cheng Jian
Keyword(s):  
Cloud Computing ◽  
Team Performance ◽  
Supporting Evidence ◽  
Cloud Infrastructure ◽  
Employee Creativity ◽  
Content Type ◽  
Cloud Management ◽  
Cloud Application ◽  
The Impact ◽  
Cloud Resources

Purpose The present investigation goals to empirically test the role of expert cloud on team performance and employee creativity. Here, the expert cloud comprises cloud application, cloud management, cloud infrastructure and cloud resources. The present study aims to identify important and key criteria and examine the relationships among them. In other words, the purpose of this study to find out the impact and relationship between cloud application, cloud management, cloud infrastructure and cloud resources and team performance and employee creativity. Design/methodology/approach Today, human societies’ rapid growth and the environmental changes that surround us every day are clearly visible. They highly affect our activities. In today’s highly complex organizations, people alone cannot handle all the issues that have arisen. As organizational managers are faced with diverse cultures in the governance of organizations, the need to use work teams with different abilities and specializations to achieve the goals of organizations leads managers to use teamwork and focus on employee creativity. On the other hand, the expert cloud makes it possible for human societies like universities, firms, industries, institutes, businesses and colleges to pool and share their human resources’ skills, knowledge and experiences to meet the competitive era’s demands. Therefore, the current investigation examines the impact of expert cloud on team performance and employee creativity. The research information is collected using an online questionnaire. The data collected is analyzed using AMOS and SMART PLS software. Findings All of the formulated hypotheses are supported. The results have shown that cloud application, cloud management, cloud infrastructure and cloud resources positively and significantly affect team performance and employee creativity. Practical implications Managers must be conscious of the vital role that the professional cloud plays in team performance and the innovation of workers. This paper would also make executives more conscious of the powerful tools in the field of cloud computing. Firms can use the outcomes of this paper investigation to improve team performance and employee creativity. Originality/value It is considered one of the initial efforts to demonstrate the impacts of expert cloud on team performance and employee creativity. This study’s value relies on that practitioners and academics may have supporting evidence on the role played by novel technology such as an expert cloud.

scholarly journals Cloud Infrastructures forIn SilicoDrug Discovery: Economic and Practical Aspects

2013 ◽  
Vol 2013 ◽  
pp. 1-19 ◽  
Author(s):  
Daniele D'Agostino ◽  
Andrea Clematis ◽  
Alfonso Quarati ◽  
Daniele Cesini ◽  
Federica Chiappori ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Ad Hoc ◽  
Bioinformatics Analysis ◽  
General Purpose ◽  
Cloud Infrastructure ◽  
Hybrid Clouds ◽  
Cloud Broker ◽  
Cloud Infrastructures ◽  
Different Levels ◽  
Selection Of

Cloud computing opens new perspectives for small-medium biotechnology laboratories that need to perform bioinformatics analysis in a flexible and effective way. This seems particularly true for hybrid clouds that couple the scalability offered by general-purpose public clouds with the greater control and ad hoc customizations supplied by the private ones. A hybrid cloud broker, acting as an intermediary between users and public providers, can support customers in the selection of the most suitable offers, optionally adding the provisioning of dedicated services with higher levels of quality. This paper analyses some economic and practical aspects of exploiting cloud computing in a real research scenario for thein silicodrug discovery in terms of requirements, costs, and computational load based on the number of expected users. In particular, our work is aimed at supporting both the researchers and the cloud broker delivering an IaaS cloud infrastructure for biotechnology laboratories exposing different levels of nonfunctional requirements.

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

A Hybrid Approach for Virtual Machine Migration in Cloud Computing Environment

2017 ◽  
Vol 7 (9) ◽  
pp. 30 ◽  
Author(s):  
Ramandeep Kaur
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Heuristic Algorithms ◽  
Hybrid Approach ◽  
Cloud Infrastructure ◽  
Virtual Machine Migration ◽  
Bee Colony ◽  
Effective Manner ◽  
Effective Performance

A lot of research has been done in the field of cloud computing in computing domain.  For its effective performance, variety of algorithms has been proposed. The role of virtualization is significant and its performance is dependent on VM Migration and allocation. More of the energy is absorbed in cloud; therefore, the utilization of numerous algorithms is required for saving energy and efficiency enhancement in the proposed work. In the proposed work, green algorithm has been considered with meta heuristic algorithms, ABC (Artificial Bee colony .Every server has to perform different or same functions. A cloud computing infrastructure can be modelled as Primary Machineas a set of physical Servers/host PM1, PM2, PM3… PMn. The resources of cloud infrastructure can be used by the virtualization technology, which allows one to create several VMs on a physical server or host and therefore, lessens the hardware amount and enhances the resource utilization. The computing resource/node in cloud is used through the virtual machine. To address this problem, data centre resources have to be managed in resource -effective manner for driving Green Cloud computing that has been proposed in this work using Virtual machine concept with ABC and Neural Network optimization algorithm. The simulations have been carried out in CLOUDSIM environment and the parameters like SLA violations, Energy consumption and VM migrations along with their comparison with existing techniques will be performed.

scholarly journals Swarm-Like Distributed Algorithm for Scheduling a Microservice-Based Application to the Cloud Servers

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1553
Author(s):  
Marian Rusek ◽  
Grzegorz Dwornicki
Keyword(s):  
Distributed Applications ◽  
Practical Implementation ◽  
Live Migration ◽  
Cloud Infrastructure ◽  
Application Development ◽  
Cloud Management ◽  
Cloud Application ◽  
Cloud Servers ◽  
Distributed Cloud ◽  
Better Than

Introduction of virtualization containers and container orchestrators fundamentally changed the landscape of cloud application development. Containers provide an ideal way for practical implementation of microservice-based architecture, which allows for repeatable, generic patterns that make the development of reliable, distributed applications more approachable and efficient. Orchestrators allow for shifting the accidental complexity from inside of an application into the automated cloud infrastructure. Existing container orchestrators are centralized systems that schedule containers to the cloud servers only at their startup. In this paper, we propose a swarm-like distributed cloud management system that uses live migration of containers to dynamically reassign application components to the different servers. It is based on the idea of “pheromone” robots. An additional mobile agent process is placed inside each application container to control the migration process. The number of parallel container migrations needed to reach an optimal state of the cloud is obtained using models, experiments, and simulations. We show that in the most common scenarios the proposed swarm-like algorithm performs better than existing systems, and due to its architecture it is also more scalable and resilient to container death. It also adapts to the influx of containers and addition of new servers to the cloud automatically.

Accessing offshoring advantages: what and how to offshore

2015 ◽  
Vol 8 (2/3) ◽  
pp. 262-283 ◽  
Author(s):  
Alona Mykhaylenko ◽  
Ágnes Motika ◽  
Brian Vejrum Waehrens ◽  
Dmitrij Slepniov
Keyword(s):  
Performance Outcomes ◽  
Offshore Outsourcing ◽  
Strategic Decisions ◽  
Content Type ◽  
Different Types ◽  
Captive Offshoring ◽  
Performance Results ◽  
Governance Modes ◽  
Different Levels ◽  
Do So

Purpose – The purpose of this paper is to advance the understanding of factors that affect offshoring performance results. To do so, this paper focuses on the access to location-specific advantages, rather than solely on the properties of the offshoring company, its strategy or environment. Assuming that different levels of synergy may exist between particular offshoring strategic decisions (choosing offshore outsourcing or captive offshoring and the type of function) and different offshoring advantages, this work advocates that the actual fact of realization of certain offshoring advantages (getting or not getting access to them) is a more reliable predictor of offshoring success. Design/methodology/approach – A set of hypotheses derived from the extant literature is tested on the data from a quantitative survey of 1,143 Scandinavian firms. Findings – The paper demonstrates that different governance modes and types of offshored function indeed provide different levels of access to different types of location-specific offshoring advantages. This difference may help to explain the ambiguity of offshoring initiatives performance results. Research limitations/implications – Limitations of the work include using only the offshoring strategy elements and only their limited variety as factors potentially influencing access to offshoring advantages. Also, the findings are limited to Scandinavian companies. Originality/value – The paper introduces a new concept of access, which can help to more reliably predict performance outcomes of offshoring initiatives. Recommendations are also provided to practitioners dealing with offshoring initiatives.

A Research of GIS Software Application Based on Cloud Computing

2014 ◽  
Vol 513-517 ◽  
pp. 2107-2110 ◽  
Author(s):  
Zhi Jian Diao ◽  
Song Guo
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Information Storage ◽  
Application Layer ◽  
Cloud Infrastructure ◽  
Network Resource ◽  
Software Application ◽  
Computing Model ◽  
Two Layer Model ◽  
Gis Software

Cloud computing is a novel network-based computing model, in which the cloud infrastructure is constructed in bottom level and provided as the support environment for the applications in upper cloud level. The combination of clouding computing and GIS can improve the performance of GIS, and it can also provide a new prospect of GIS information storage, processing and utilization. By integrating cloud computing and GIS, this paper presented a cloud computing based GIS model based on two features of cloud computing: data storage and transparent custom service. The model contains two layers: service layer and application layer. With this two-layer model, GIS can provide stable and efficient services to end users by optimized network resource allocation of underlying data and services in cloud computing.

Sticks and Stones May Break My Bones . . . Reasoning About Illness Causality and Body Functioning in Children Who Have a Chronic Illness

PEDIATRICS ◽  
1991 ◽  
Vol 88 (3) ◽  
pp. 608-619
Author(s):  
Ellen C. Perrin ◽  
Aline G. Sayer ◽  
John B. Willett
Keyword(s):  
Chronic Illness ◽  
Age Differences ◽  
Conceptual Development ◽  
Seizure Disorder ◽  
Healthy Children ◽  
Cognitive Reasoning ◽  
Different Types ◽  
Reasoning Skills ◽  
Experience Of Illness ◽  
Different Levels

Children's concepts about illness causality and bodily functioning change in a predictable way with advancing age. Differences in the understanding of these concepts in healthy children vs children with a chronic illness have not been clearly delineated. This study included 49 children with a seizure disorder, 47 children with an orthopaedic condition, and 96 healthy children, all with normal intelligence and ranging in age from 5 to 16 years. It demonstrates systematic differences in children's general reasoning skills and in their understanding of concepts about illness causality and bodily functioning, as a function of their age and experience of illness. At all ages, children who had a condition with orthopaedic involvement reported less sophisticated general reasoning and concepts about illness than did healthy children; children with a seizure disorder reported similar general reasoning skills to those of healthy children, but considerably less sophisticated concepts about illness. children's concepts about body functioning did not differ as a function of the presence of a chronic illness. When their different levels of general cognitive reasoning were statistically controlled, children with a chronic illness had somewhat more sophisticated concepts about bodily functioning than did healthy children. Differences in conceptual development among children with different types of illnesses lead to interesting speculations with regard to the effects of particular illness characteristics on children's cognitive development.

GOVERNMENT REGULATIONS OF THE USING CLOUD SERVICES

2022 ◽  
Author(s):  
Olexander Melnikov ◽  
◽  
Konstantin Petrov ◽  
Igor Kobzev ◽  
Viktor Kosenko ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Government Agencies ◽  
Remote Work ◽  
Cloud Infrastructure ◽  
Wide Range ◽  
Technological Base

The article considers the development and implementation of cloud services in the work of government agencies. The classification of the choice of cloud service providers is offered, which can serve as a basis for decision making. The basics of cloud computing technology are analyzed. The COVID-19 pandemic has identified the benefits of cloud services in remote work Government agencies at all levels need to move to cloud infrastructure. Analyze the prospects of cloud computing in Ukraine as the basis of e-governance in development. This is necessary for the rapid provision of quality services, flexible, large-scale and economical technological base. The transfer of electronic information interaction in the cloud makes it possible to attract a wide range of users with relatively low material costs. Automation of processes and their transfer to the cloud environment make it possible to speed up the process of providing services, as well as provide citizens with minimal time to obtain certain information. The article also lists the risks that exist in the transition to cloud services and the shortcomings that may arise in the process of using them.

Benefits and Challenges for Business Process Management in the Cloud

2015 ◽  
Vol 5 (2) ◽  
pp. 80-104 ◽  
Author(s):  
Ute Riemann
Keyword(s):  
Cloud Computing ◽  
Business Process ◽  
Information Exchange ◽  
Business Process Management ◽  
Process Management ◽  
Business Models ◽  
Business Processes ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Business Application

Business processes are not only variable they are as well dynamic. A key benefit of Business Process Management (BPM) is the ability to adjust business processes accordingly in response to changing market requirements. In parallel to BPM, enterprise cloud computing technology has emerged to provide a more cost effective solution to businesses and services while making use of inexpensive computing solutions, which combines pervasive, internet, and virtualization technologies (). Despite the slow start, the business benefits of cloud computing are as such that the transition of BPM to the cloud is now underway. Cloud services refer to the operation of a virtualized, automated, and service-oriented IT landscape allowing the flexible provision and usage-based invoicing of resources, services, and applications via a network or the internet. The generic term “X-as-a-Service” summarize the business models delivering almost everything as a service. BPM in the cloud is often regarded as a SaaS application. More recently, BPM is being regarded as a PaaS as it facilitates the creation and deployment of applications, in this case business process solutions. The PaaS landscape is the least developed of the four cloud based software delivery models previously discussed. PaaS vendors, such as IBM, Oracle, and Microsoft delivered an application platform with managed cloud infrastructure services however, more recently the PaaS market has begun to evolve to include other middleware capabilities including process management. BPM PaaS is the delivery of BPM technology as a service via a cloud service provider. For the classification as a PaaS a BPM suite requires the following capabilities: the architecture should be multi-tenant, hosting should be off premise and it should offer elasticity and metering by use capabilities. When we refer to BPM in the cloud, what we are really referring to is a combination of BPM PaaS and BPaaS (Business Process as a Service). Business Process as a Service (BPaaS) is a set of pre-defined business processes that allows the execution of customized business processes in the cloud. BPaaS is a complete pre-integrated BPM platform hosted in the cloud and delivered as a service, for the development and execution of general-purpose business process application. Although such a service harbors an economic potential there are remaining questions: Can an individual and company-specific business process supported by a standardized cloud solution, or should we protect process creativity and competitive differentiation by allowing the company to design the processes individually and solely support basic data flows and structures? Does it make sense to take a software solution “out of the box” that handles both data and process in a cloud environment, or would this hinder the creativity of business (process) development leading to a lower quality of processes and consequently to a decrease in the competitive positioning of a company? How to manage the inherent compliance and security topic. Within a completely integrated business application system, all required security aspects can be implemented as a safeguarding with just enough money. Within the cloud, however, advanced standards and identity prove is required to monitor and measure information exchange across the federation. Thereby there seems to be no need for developing new protocols, but a standardized way to collect and evaluate the collected information.

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