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.

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.

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.

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.

Resource Scheduling Techniques in Cloud Computing Environment : A Survey

2018 ◽  
pp. 64-68
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Cloud Computing ◽  
Time Management ◽  
Large Scale ◽  
Service Level Agreement ◽  
Service Level ◽  
Resource Provisioning ◽  
Network Access ◽  
Configurable Computing ◽  
Dynamic Resource Provisioning

Cloud Computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, applications and services) that can be rapidly provisioned and released. Resource Provisioning means the selection, deployment, and run-time management of software (e.g., database server management systems, load balancers) and hardware resources (e.g., CPU, storage, and network) for ensuring guaranteed performance for applications. Resource Provisioning is an important and challenging problem in the large-scale distributed systems such as Cloud computing environments. There are many resource provisioning techniques, both static and dynamic each one having its own advantages and also some challenges. These resource provisioning techniques used must meet Quality of Service (QoS) parameters like availability, throughput, response time, security, reliability etc., and thereby avoiding Service Level Agreement (SLA) violation. In this paper, survey on Static and Dynamic Resource Provisioning Techniques is made.

scholarly journals GATECloud.net: a platform for large-scale, open-source text processing on the cloud

2013 ◽  
Vol 371 (1983) ◽  
pp. 20120071 ◽  
Author(s):  
Valentin Tablan ◽  
Ian Roberts ◽  
Hamish Cunningham ◽  
Kalina Bontcheva
Keyword(s):  
Cloud Computing ◽  
Language Processing ◽  
Large Scale ◽  
Virtual Machines ◽  
Cost Benefit Analysis ◽  
Text Processing ◽  
Cost Benefit ◽  
Data Intensive ◽  
On Demand ◽  
Usage Evaluation

Cloud computing is increasingly being regarded as a key enabler of the ‘democratization of science’, because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research—GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost–benefit analysis and usage evaluation.

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

Cloud in Science

2014 ◽  
pp. 165-191
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Scientific Computing ◽  
Scientific Discovery ◽  
Software Environment ◽  
Access To Resources ◽  
On Demand ◽  
Service Models ◽  
New Models ◽  
The Impact

Cloud computing technologies and service models are attractive to scientific computing users due to the ability to get on-demand access to resources as well as the ability to control the software environment. Scientific computing researchers and resource providers servicing these users are considering the impact of new models and technologies. SaaS solutions like Globus Online and IaaS solutions such as Nimbus Infrastructure and OpenNebula accelerate the discovery of science by helping scientists to conduct advanced and large-scale science. This chapter describes how cloud is helping researchers to accelerate scientific discovery by transforming manual and difficult tasks into the cloud.

scholarly journals Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Ibrahim Attiya ◽  
Mohamed Abd Elaziz ◽  
Shengwu Xiong
Keyword(s):  
Cloud Computing ◽  
Simulated Annealing ◽  
Large Scale ◽  
Simulated Annealing Algorithm ◽  
Job Scheduling ◽  
Search Algorithm ◽  
Scheduling Algorithms ◽  
Scheduling Problems ◽  
It Services ◽  
On Demand

In recent years, cloud computing technology has attracted extensive attention from both academia and industry. The popularity of cloud computing was originated from its ability to deliver global IT services such as core infrastructure, platforms, and applications to cloud customers over the web. Furthermore, it promises on-demand services with new forms of the pricing package. However, cloud job scheduling is still NP-complete and became more complicated due to some factors such as resource dynamicity and on-demand consumer application requirements. To fill this gap, this paper presents a modified Harris hawks optimization (HHO) algorithm based on the simulated annealing (SA) for scheduling jobs in the cloud environment. In the proposed HHOSA approach, SA is employed as a local search algorithm to improve the rate of convergence and quality of solution generated by the standard HHO algorithm. The performance of the HHOSA method is compared with that of state-of-the-art job scheduling algorithms, by having them all implemented on the CloudSim toolkit. Both standard and synthetic workloads are employed to analyze the performance of the proposed HHOSA algorithm. The obtained results demonstrate that HHOSA can achieve significant reductions in makespan of the job scheduling problem as compared to the standard HHO and other existing scheduling algorithms. Moreover, it converges faster when the search space becomes larger which makes it appropriate for large-scale scheduling problems.

scholarly journals A Load Balancing Scheme Using Federate Migration Based on Virtual Machines for Cloud Simulations

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Xiao Song ◽  
Yaofei Ma ◽  
Da Teng
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Distributed System ◽  
Large Scale ◽  
Virtual Machines ◽  
On Demand ◽  
New Type ◽  
Key Techniques ◽  
Large Scale Simulations ◽  
Simulation Systems

A maturing and promising technology, Cloud computing can benefit large-scale simulations by providing on-demand, anywhere simulation services to users. In order to enable multitask and multiuser simulation systems with Cloud computing, Cloud simulation platform (CSP) was proposed and developed. To use key techniques of Cloud computing such as virtualization to promote the running efficiency of large-scale military HLA systems, this paper proposes a new type of federate container, virtual machine (VM), and its dynamic migration algorithm considering both computation and communication cost. Experiments show that the migration scheme effectively improves the running efficiency of HLA system when the distributed system is not saturated.

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