Cloud Libraries

2014 ◽  
pp. 316-338 ◽  
Author(s):  
Mayank Yuvaraj
Keyword(s):  
Cloud Computing ◽  
Strategic Planning ◽  
Information Sources ◽  
Planning Model ◽  
Computing Power ◽  
Technical Aspects ◽  
On Demand ◽  
Library Users ◽  
Retrieval Strategies ◽  
The Future

On-demand computing power at modest cost, tied with faster Internet accessibility in the Cloud has offered the future of Cloud libraries. This chapter presents a snapshot of what is happening in the arena of Cloud libraries. It presents the features, its promises, components that drive a Cloud library, users and the services, infrastructure, information sources, and retrieval strategies in the Cloud. Further, it presents a Cloud strategic planning model for its realization in libraries. Whereas a lot of work has been done on the technical aspects and implications in health and medical services, there is lack of focus on the implication of Cloud computing in a library setting. This chapter is a self-conscious attempt in filling some of the gaps.

Cloud Libraries

2015 ◽  
pp. 50-71
Author(s):  
Mayank Yuvaraj
Keyword(s):  
Cloud Computing ◽  
Strategic Planning ◽  
Information Sources ◽  
Planning Model ◽  
Computing Power ◽  
Technical Aspects ◽  
On Demand ◽  
Library Users ◽  
Retrieval Strategies ◽  
The Future

On-demand computing power at modest cost, tied with faster Internet accessibility in the Cloud has offered the future of Cloud libraries. This chapter presents a snapshot of what is happening in the arena of Cloud libraries. It presents the features, its promises, components that drive a Cloud library, users and the services, infrastructure, information sources, and retrieval strategies in the Cloud. Further, it presents a Cloud strategic planning model for its realization in libraries. Whereas a lot of work has been done on the technical aspects and implications in health and medical services, there is lack of focus on the implication of Cloud computing in a library setting. This chapter is a self-conscious attempt in filling some of the gaps.

scholarly journals ENHANCED CREDIT BASED LOAD BALANCING IN CLOUD ENVIRONMENT

2017 ◽  
Vol 15 (14) ◽  
pp. 7444-7452
Author(s):  
Jagdeep Singh ◽  
Mr. Pawan Luthra
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
User Satisfaction ◽  
Cloud Environment ◽  
Network Access ◽  
Time To Market ◽  
Computing Power ◽  
On Demand ◽  
Task Priority ◽  
Reduced Time

Cloud computing is one of the latest and upcoming paradigm that offers huge benefits such as reduced time to market, unlimited computing power and flexible computing capabilities. It is a model that provides an on-demand network access to a shared pool of computing resources It comprises a large number of concepts primarily Load Balancing, Scheduling, etc. This paper discusses load balancing as a mechanism to distribute the workload evenly to all nodes in the system to achieve a higher resource utilization and user satisfaction. It helps in allocation and de-allocation of instances of applications without   failure. This paper reports a new load balancing technique using modified credit based system using task length, task priority and its cost. The proposed algorithm has been implemented in cloudsim toolkit and its comparison with existing algorithm has been discussed in the paper.

Deployment and Optimization for Cloud Computing Technologies in IoT

2019 ◽  
pp. 2134-2144
Author(s):  
Aditya Pratap Singh ◽  
Pradeep Tomar
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Industrial Applications ◽  
The Internet ◽  
On Demand ◽  
Computing Technologies ◽  
The Future ◽  
Different Sources ◽  
The Internet Of Things

Cloud computing has proven itself and is accepted in industrial applications. Cloud computing is based on the co-existence and co-working of various technologies and services from different sources that together make cloud computing a success. Over the last few years, the Internet of Things (IoT) has been widely studied and being applied. The blending of these two efficient technologies may provide an intelligent perception about usage of resources on demand and efficient sharing. The adoption of these two different technologies and usage is likely to be more and more pervasive, making them important components of the future internet-based systems. This chapter focuses on the deployment models of cloud computing in relation to IoT. The implications of cloud computing in view of deployment are discussed. The issues for deployment and optimization related to the merger of IoT with cloud computing are raised.

scholarly journals A Study on Data Security In Fog Computing

2018 ◽  
Vol 7 (2.19) ◽  
pp. 50
Author(s):  
P S.Apirajitha
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Security ◽  
Fog Computing ◽  
Daily Basis ◽  
Long Distance ◽  
Computing Power ◽  
On Demand ◽  
Iot Devices ◽  
The Cost

During the years, Cloud Computing is a popular paradigm which provide access to configurable resources on devices at any time,with on demand. Cloud Computing provides many benefits to enterprises by reducing the cost and allowing them to concentrate on their core business. Apart from this , the Development of Internet of Things came into existence, where the cloud divulge a long distance between users and its environment. Cloud Computing is also referred as heavy computing and dense form of computing power. In Spite of this  a new computing has been proposed called Fog Computing also known as Fogging, which overcomes the problem of cloud. Fog computing which majority supports the concepts of Internet of Things(IoT), where many  IoT devices are used by users on daily basis which are connected to each other. Fog Computing is also an extended version of cloud computing.  

scholarly journals Analysis of the major issues in Cloud Computing Environments

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
S. Selvam ◽  
S. Thabasu Kannan
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Innovative Technology ◽  
Future Trends ◽  
Network Access ◽  
Configurable Computing ◽  
Promising Technology ◽  
On Demand ◽  
The Future ◽  
Computing Environments

Cloud computing is a model for enabling service user’s ubiquitous, convenient and on-demand network access to a shared pool of configurable computing resources. Cloud computing is a promising technology to facilitate development of large-scale, on-demand, flexible computing infrastructures. But without security embedded into innovative technology that supports cloud computing, businesses are setting themselves up for a fall. The trend of frequently adopting this technology by the organizations automatically introduced new risk on top of existing risk. Obviously putting everything into a single box i.e. into the cloud will only make it easier for hacker. This paper presents an overview and the study of the cloud computing. Also include the several security and challenging issues, emerging application and the future trends of cloud computing.

scholarly journals REVISED LOAD BALANCING ALGORITHM IN CLOUD COMPUTING

2015 ◽  
Vol 14 (12) ◽  
pp. 6326-6333
Author(s):  
Settu Bharti ◽  
Naseeb Singh
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Resource Utilization ◽  
User Satisfaction ◽  
Network Access ◽  
Time To Market ◽  
Computing Power ◽  
On Demand ◽  
Load Balancing Algorithm ◽  
Reduced Time

Cloud computing is one of the latest and upcoming paradigm that offers huge benefits such as reduced time to market, unlimited computing power and flexible computing capabilities. It is a model that provides an on-demand network access to a shared pool of computing resources It comprises a large number of concepts primarily Load Balancing, Scheduling, etc. This paper discusses load balancing as a mechanism to distribute the workload evenly to all nodes in the system to achieve a higher resource utilization and user satisfaction. It helps in allocation and de-allocation of instances of applications without   failure. This paper reports a new load balancing technique and its comparison with existing algorithm providing better results. 

Deployment and Optimization for Cloud Computing Technologies in IoT

2018 ◽  
pp. 43-56
Author(s):  
Aditya Pratap Singh ◽  
Pradeep Tomar
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Industrial Applications ◽  
The Internet ◽  
On Demand ◽  
Computing Technologies ◽  
The Future ◽  
Different Sources ◽  
The Internet Of Things

Cloud computing has proven itself and is accepted in industrial applications. Cloud computing is based on the co-existence and co-working of various technologies and services from different sources that together make cloud computing a success. Over the last few years, the Internet of Things (IoT) has been widely studied and being applied. The blending of these two efficient technologies may provide an intelligent perception about usage of resources on demand and efficient sharing. The adoption of these two different technologies and usage is likely to be more and more pervasive, making them important components of the future internet-based systems. This chapter focuses on the deployment models of cloud computing in relation to IoT. The implications of cloud computing in view of deployment are discussed. The issues for deployment and optimization related to the merger of IoT with cloud computing are raised.

Cloud Manufacturing

2018 ◽  
Vol 8 (2) ◽  
pp. 39
Author(s):  
Matthew Sadiku ◽  
Yonghui Wang ◽  
Suxia Cui ◽  
Sarhan Musa
Keyword(s):  
Cloud Computing ◽  
Manufacturing Industry ◽  
Cloud Manufacturing ◽  
Manufacturing Processes ◽  
Web Based ◽  
Collaborative Manufacturing ◽  
On Demand ◽  
The Future ◽  
Service Oriented ◽  
Basic Concepts

Cloud manufacturing is emerging as a new manufacturing paradigm which applies well-known basic concepts from cloud computing to manufacturing processes and deliver shared, ubiquitous, on-demand manufacturing services. It  is an innovative, web-based manufacturing model. It is promising to transform today’s manufacturing industry from production-oriented to service-oriented, highly collaborative manufacturing of the future. This paper provides a brief introduction to cloud manufacturing.

Environmental Scanning

2015 ◽  
pp. 2955-2964
Author(s):  
Barbara Holland
Keyword(s):  
Strategic Planning ◽  
Peripheral Vision ◽  
Environmental Scanning ◽  
Organizational Practice ◽  
Futures Research ◽  
User Behaviors ◽  
Future Needs ◽  
Library Users ◽  
The Future ◽  
Strategic Foresight

To capsulize the future needs of library users, Management must consistently collect, analyze and diffuse information on trends that are internal and external affecting user behaviors and needs. Environmental Scanning is an organizational practice of screening external demographic, cultural, social, political, technological and legal trends in an effort to foresee and meet the needs of users in the future. This article examines environmental scanning, futures research, peripheral vision, and corporate/strategic foresight as tools for strategic planning, and assisting Managers in making better decisions concerning libraries, businesses and other organizations.

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