New Media Cloud Computing

2014 ◽  
pp. 1636-1648
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
New Media ◽  
Community Formation ◽  
Media Content ◽  
Network Access ◽  
Configurable Computing ◽  
Online Data ◽  
On Demand ◽  
The Many ◽  
Media Cloud

New Media is a generic term for the many different forms of electronic communication that are made possible through the use of computer technology. New media refers to on-demand access to content anytime, anywhere, on any digital device, as well as interactive user feedback, creative participation and community formation around the media content. Another important promise of new media is the “democratization” of the creation, publishing, distribution and consumption of media content along with real-time generation of new and user created content. Cloud computing, is a style of computing where scalable and elastic IT-related capabilities are provided as shared assorted services (IaaS, PaaS, SaaS, DaaS). It is metered by use, to customers using internet technologies built on top of diverse technologies like virtualisation, distributed computing, utility computing, and more recently networking, web infrastructure and providing on-demand network access to a shared pool of configurable computing resources. It represents a paradigm shift in how we think about our data, the role of our computing devices and on managing computing resources. Being an emerging service technology with promising novel and valuable capabilities it attracts industrial research community with main focus on standardisation and customised implementation in every segment of society. To meet out the ever growing popularity of the inevitable new media applications and services over the Internet and the way it overpowers mobile devices, there is a strong demand for cloud integration. This paper outlines the concepts of new media cloud computing and addresses the problem of handling exponential growth of online data. It presents a novel framework for New Media Cloud Computing. A preliminary simulation of the work on the proposed architecture shows that there is increase in the quality of computations done, despite the demand of constant updating of resources in New Media environment.

New Media Cloud Computing

2013 ◽  
Vol 3 (2) ◽  
pp. 61-72
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
New Media ◽  
Community Formation ◽  
Media Content ◽  
Network Access ◽  
Configurable Computing ◽  
Online Data ◽  
On Demand ◽  
The Many ◽  
Media Cloud

New Media is a generic term for the many different forms of electronic communication that are made possible through the use of computer technology. New media refers to on-demand access to content anytime, anywhere, on any digital device, as well as interactive user feedback, creative participation and community formation around the media content. Another important promise of new media is the “democratization” of the creation, publishing, distribution and consumption of media content along with real-time generation of new and user created content. Cloud computing, is a style of computing where scalable and elastic IT-related capabilities are provided as shared assorted services (IaaS, PaaS, SaaS, DaaS). It is metered by use, to customers using internet technologies built on top of diverse technologies like virtualisation, distributed computing, utility computing, and more recently networking, web infrastructure and providing on-demand network access to a shared pool of configurable computing resources. It represents a paradigm shift in how we think about our data, the role of our computing devices and on managing computing resources. Being an emerging service technology with promising novel and valuable capabilities it attracts industrial research community with main focus on standardisation and customised implementation in every segment of society. To meet out the ever growing popularity of the inevitable new media applications and services over the Internet and the way it overpowers mobile devices, there is a strong demand for cloud integration. This paper outlines the concepts of new media cloud computing and addresses the problem of handling exponential growth of online data. It presents a novel framework for New Media Cloud Computing. A preliminary simulation of the work on the proposed architecture shows that there is increase in the quality of computations done, despite the demand of constant updating of resources in New Media environment.

Cloud Security Data Critical Review

2020 ◽  
Vol 17 (9) ◽  
pp. 4715-4717
Author(s):  
A. A. Prokin
Keyword(s):  
Cloud Computing ◽  
Mobile Communications ◽  
Critical Review ◽  
Network Architecture ◽  
Large Scale ◽  
Public Access ◽  
Network Access ◽  
Configurable Computing ◽  
On Demand ◽  
Suitable System

Cloud computing is a model for providing convenient network access on demand to some common fund of configurable computing resources. These calculations are flexible, scalable, and inexpensive, but have large-scale sharing of services among multiple users. The broad coverage of the idea of cloud computing has led to significant changes, both in public access systems and in mobile communications, which prompted advanced researchers to provide suitable system protocols and network architecture. In cloud computing, there are two main problems: access control and security. Therefore, the security of both services and users is a significant problem that stands in the way of using and trust in cloud computing.

Comparisons of Cloud Computing Models and Technologies

2012 ◽  
Vol 524-527 ◽  
pp. 3805-3808
Author(s):  
Yu Hu
Keyword(s):  
Cloud Computing ◽  
Competitive Advantage ◽  
Service Provider ◽  
Network Access ◽  
Configurable Computing ◽  
On Demand ◽  
New Ideas ◽  
Management Effort ◽  
Computing Models

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing allows new ideas, business concepts, and prototype systems to rapidly move to market, which represents a competitive advantage. Some cloud computing models and technologies are compared in this paper.

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 Cloud Computing: A Review

2021 ◽  
Vol 9 (12) ◽  
pp. 1201-1204
Author(s):  
Shailaja Dilip Pawar
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Service Development ◽  
Network Access ◽  
Computing Resource ◽  
On Demand ◽  
Introductory Part

Abstract: Cloud computing is actually a model for enabling convenient, limitless, on demand network access to a shared pool of computing resource. This paper describes introductory part explain the concept of cloud computing, different components of cloud, types of cloud service development. At last paper elaborates the classification of cloud computing which will clear the ovelall idea of cloud computing to the learners who are new to this field. Keywords: cloud computing, SaaS, PaaS, IaaS

Strategic Planning for Cloud Computing Adoption in STEM Education

2019 ◽  
pp. 459-469
Author(s):  
Alan S. Weber
Keyword(s):  
Cloud Computing ◽  
Stem Education ◽  
Network Access ◽  
Configurable Computing ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
E Learning ◽  
Management Effort ◽  
Cloud Computing Services ◽  
And Mathematics

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.

An Overview of Cloud and Edge Computing Architecture and Its Current Issues and Challenges

2021 ◽  
pp. 2340-2370
Author(s):  
Guru Prasad Bhandari ◽  
Ratneshwer Gupta
Keyword(s):  
Cloud Computing ◽  
Edge Computing ◽  
Network Access ◽  
Computing Systems ◽  
Computing Architecture ◽  
Resource Pooling ◽  
Cloud Architecture ◽  
On Demand ◽  
Emerging Issues ◽  
Self Service

Edge computing is a technique of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data in the systems. And, cloud computing is a service that delivers on-demand self-service, broad network access, resource pooling, rapid elasticity or expansion, which is trending in today's technology-driven world. With the advantage of flexibility, storage, sharing, and easy accessibility, cloud is being used by major players in IT (information technology). This chapter highlights cloud/edge computing architecture and its current issues and challenges from technological and organizational aspects. A brief introduction of edge computing architecture with similar technologies along with its service models is discussed. A few counterexamples of cloud computing architecture are showed. Organizational aspects of cloud computing architecture, as well as IBM and Oracle reference cloud architecture, are briefly presented. Some emerging issues and challenges associated with cloud/edge computing on its utilization are also elaborated.

scholarly journals Contemporary Perception Of Task Scheduling Techniques In Cloud: A Review

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Task Scheduling ◽  
High Performance ◽  
Communications Technology ◽  
Small Companies ◽  
Network Access ◽  
On Demand ◽  
Computing Services ◽  
Performance Computing

Typically, the constant changes in computers and communications technology led to the need of on-demand network access to a shared computing resources to reduce cost and time and this is known as Cloud computing, which delivers computing services to users as a pay-as-you-go manner by emerging several distributed and high performance computing concepts. The cloud makes reaching any information or source possible from anywhere eliminating the setup and instillation step such that the user and the hardware may co-exist in different places. This comes beneficial for the users or the small companies that cannot effort to pay for the hardware, storage or resources as the big companies. Many of the studies on cloud computing was dedicated to the performance efficiency of task scheduling. Scheduling is a wide concept and it is one of the most important issues that generally work on mapping tasks to appropriate resources efficiently and effectively using one or more strategy. This paper have reviewed and classified the most recent scheduling algorithms in cloud computing and gave examples on each.

scholarly journals On the Economical Impacts of Cloud Computing in Information Technology Industry

2014 ◽  
Author(s):  
Ediz Şaykol
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Virtual Machines ◽  
Information Technology Industry ◽  
Network Access ◽  
Configurable Computing ◽  
Capital Costs ◽  
Technology Industry ◽  
Economic Significance ◽  
Business Goals

Cloud computing, as defined by United States National Institute of Standards and Technology (NIST), “... is a model for enabling 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.” Goal of the study is to highlight the positive economical impacts of cloud computing for companies, which can be assessed by focusing on their business goals to make more profit. Under the cloud computing model, firms can rent as many virtual machines as they need at any given time, and either design or use off-the-shelf solutions to integrate company-wide data and then easily distribute access to users within and outside of the company. Hence, cloud computing converts fixed capital costs to variable costs, prevents under or over provisioning, and allows minute by minute flexibility. Hence, the companies concentrate on their own business goals on top on a stable and effective information technology backbone. Most literature on cloud computing reside in computer science resources. However, there is little work focusing on the social and economic significance of cloud computing in the economics literature. Hence, this paper first discusses the basics of the cloud computing along with its implications on information technology (IT) field, with paying special attention to economical aspects. Then, empirical results and elaborations are to be given to yield a conclusion.

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.

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