Model-Based Application Deployment on Cloud Computing

2019 ◽  
Vol 10 (2) ◽  
pp. 110-127 ◽  
Author(s):  
Aouat Asmaa ◽  
Deba El Abbassia ◽  
Benyamina Abou EL Hassan ◽  
Benhamamouch Djilali
Keyword(s):  
Cloud Computing ◽  
The Internet ◽  
Cloud Environment ◽  
Model Driven Engineering ◽  
Model Driven ◽  
On Demand ◽  
Model Based ◽  
Cloud Providers ◽  
Application Deployment ◽  
Scientific Challenge

Cloud Computing refers to a set of technologies and systems that provide various types of resources (computing, storage, software, etc.) on demand, through the Internet or Intranet. Thanks to these advantages many Cloud providers are available and is increasing. These cloud providers offer different PaaS platforms that must each be configured in its own appropriate way to deploy applications in the cloud. Cloud Computing is based on heterogeneity principles, which allows many configurations and sizing choices. This implies that the developer must master all deployment methods in order to benefit from all suppliers. The development and deployment of applications in the Cloud offers a new scientific challenge in terms of expression and taking into account variability. The purpose of the author's work is to propose a deployment method and implement it to automate the process of deploying applications in a cloud environment based on model-driven engineering, to configure and provision applications to be deployed in the cloud.

Cloud Computing Security: An Investigation into the Security Issues and Challenges Associated with Cloud Computing, for both Data Storage and Virtual Applications

2015 ◽  
Vol 1 (2) ◽  
pp. 15
Author(s):  
Hamisu Alhaji Ali
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Data Storage ◽  
World Economy ◽  
The Internet ◽  
Cloud Environment ◽  
Cloud Computing Security ◽  
Security Issues ◽  
On Demand ◽  
The World

In recent years, cloud computing has developed from the promising business concept that it used to be, to one of Information Technology (IT) industry's most developing section. Now that the world economy was hit by recession, the victims of this tragedy continually understand that by just outsourcing or tapping the cloud  resources, a package of virtualise, elastic, instant on-demand provision, and scalable; infrastructure, platform, and software can be access fast and easy inform of services at a negligible amount via the internet. However, as individuals and organizations embarked on the course of deploying their information and data into the cloud, anxieties are beginning to develop on whether the cloud environment is safe. This research provides an overview of the cloud deployment model, the services they offer and discusses the security issues and challenges of cloud computing in both data storage and virtual applications/servers.

Intercloud

2020 ◽  
pp. 1750-1769
Author(s):  
Alexandru Aurel Costan ◽  
Bogdan Iancu ◽  
Petru Cosmin Rasa ◽  
Alexandru Radu ◽  
Adrian Peculea ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Cloud Services ◽  
The Internet ◽  
On Demand ◽  
Heterogeneous Services ◽  
Business Opportunities ◽  
Cloud Providers ◽  
Almost All

Cloud computing is considered the next step in the evolution of technological applications, services and products development, in the Future Internet and Internet of Things context. The permanent connection of users to the Internet has become widespread, so almost all available resources (data, software) can be placed on the Internet, shared between users - sometimes completely independently of others, and brought from the Internet to the user's computer on demand. The chapter highlights the benefits of using hybrid technology with a focus towards entrepreneurs and business innovators. Intercloud systems are built of heterogeneous services, offered by different providers of cloud computing. To emphasize the business opportunities offered by innovative Intercloud approaches, an architecture for the interconnection of cloud services offered by multiple cloud providers, with applications to e-health, is presented. The main concepts and business benefits of using Intercloud systems and an architecture for interconnecting cloud services from multiple cloud providers is described.

Intercloud

2017 ◽  
pp. 59-78
Author(s):  
Alexandru Aurel Costan ◽  
Bogdan Iancu ◽  
Petru Cosmin Rasa ◽  
Alexandru Radu ◽  
Adrian Peculea ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Cloud Services ◽  
The Internet ◽  
On Demand ◽  
Heterogeneous Services ◽  
Business Opportunities ◽  
Cloud Providers ◽  
Almost All

Cloud computing is considered the next step in the evolution of technological applications, services and products development, in the Future Internet and Internet of Things context. The permanent connection of users to the Internet has become widespread, so almost all available resources (data, software) can be placed on the Internet, shared between users - sometimes completely independently of others, and brought from the Internet to the user's computer on demand. The chapter highlights the benefits of using hybrid technology with a focus towards entrepreneurs and business innovators. Intercloud systems are built of heterogeneous services, offered by different providers of cloud computing. To emphasize the business opportunities offered by innovative Intercloud approaches, an architecture for the interconnection of cloud services offered by multiple cloud providers, with applications to e-health, is presented. The main concepts and business benefits of using Intercloud systems and an architecture for interconnecting cloud services from multiple cloud providers is described.

Formal Metamodeling for Secure Model-Driven Engineering

2021 ◽  
Vol 12 (2) ◽  
pp. 46-67
Author(s):  
Liliana Maria Favre
Keyword(s):  
Cloud Computing ◽  
Formal Specifications ◽  
Model Driven Engineering ◽  
Model Driven ◽  
Transformation Rules ◽  
Systematic Development ◽  
Definition Of ◽  
Context Specific ◽  
Theoretical Foundations

Systems and applications aligned with new paradigms such as cloud computing and internet of the things are becoming more complex and interconnected, expanding the areas in which they are susceptible to attacks. Their security can be addressed by using model-driven engineering (MDE). In this context, specific IoT or cloud computing metamodels emerged to support the systematic development of software. In general, they are specified through semiformal metamodels in MOF style. This article shows the theoretical foundations of a method for automatically constructing secure metamodels in the context of realizations of MDE such as MDA. The formal metamodeling language Nereus and systems of transformation rules to bridge the gap between formal specifications and MOF are described. The main contribution of this article is the definition of a system of transformation rules called NEREUStoMOF for transforming automatically formal metamodeling specifications in Nereus to semiformal-MOF metamodels annotated in OCL.

Cloud Computing for On-Demand Virtual Desktops and Labs

2012 ◽  
pp. 111-125
Author(s):  
Christoph Reich ◽  
Sandra Hübner ◽  
Hendrik Kuijs
Keyword(s):  
Cloud Computing ◽  
Learning Experience ◽  
Cloud Services ◽  
The Internet ◽  
It Infrastructure ◽  
On Demand ◽  
E Learning ◽  
Collaboration Platforms ◽  
Computer Resources ◽  
Support Research

Cloud computing is used to provide users with computer resources on-demand any time over the Internet. At the Hochschule Furtwangen University (HFU) students, lecturers, and researchers can leverage cloud computing to enhance their e-learning experience. This chapter presents how cloud computing provides on-demand virtual desktops for problem solving, on-demand virtual labs for special courses, and on-demand collaboration platforms to support research groups. The focus is how cloud services can be used, how they can be integrated into the existing HFU-IT infrastructure, and how new didactic models could look.

Auto-Scaling in the Cloud Environment

2020 ◽  
pp. 84-98
Author(s):  
Ravindra Kumar Singh Rajput ◽  
Dinesh Goyal
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
The Internet ◽  
Data Traffic ◽  
Cloud Environment ◽  
Software Application ◽  
Workload Balancing ◽  
Specific Configuration ◽  
Using Data ◽  
Auto Scaling

Every software application has its own minimum set of requirements like CPU, storage, memory, networking, and power. These have to be integrated into a specific configuration to allow the smooth functioning of the software application. When data traffic becomes higher than expected, higher resources are required. There may not be enough time to provision new resources manually; in such cases, an auto-scaling system is required for managing these situations. Cloud computing means using data, programs, and other resources pooled in the data center and accessed through the internet instead of the user's computer. In the chapter, the authors discussed some aspects related to cloud computing like cloud workload, load balancing, load balancing algorithms, scaling techniques, and auto-scaling to fulfill cloud workload balancing requirements.

A Survey on Load Balancing Algorithms for Cloud Environment

2019 ◽  
Vol 16 (2) ◽  
pp. 764-767
Author(s):  
P. Chitra ◽  
Karthika D. Renuka ◽  
K. Senathipathi ◽  
S. Deepika ◽  
R. Geethamani
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Comparative Analysis ◽  
Load Balancing ◽  
Resource Utilization ◽  
The Internet ◽  
Cloud Environment ◽  
Web Based ◽  
Qos Metrics

Cloud computing is the cutting edge technology in the information field to provide services to the users over the internet through web–based tools and applications. One of the major aspects of cloud computing is load balancing. Challenges like Quality of service (QoS) metrics and resource utilization can be improved by balancing the load in cloud environment. Specific scheduling criteria can be applied using load balancing for users prioritization. This paper surveys different load balancing algorithms. The approaches that are existing are discussed and analyzed to provide fair load balancing and also a comparative analysis was presented for the performance of the existing different load balancing schemes.

Efficient on Demand Dynamic Availability-Distribution-Span Scheduling and Load Balancing Scheme for Cloud Computing

2016 ◽  
Vol 13 (10) ◽  
pp. 7655-7660 ◽  
Author(s):  
V Jeyakrishnan ◽  
P Sengottuvelan
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Resource Utilization ◽  
Scheduling Algorithms ◽  
Time Factor ◽  
Cloud Environment ◽  
On Demand ◽  
Availability Factor ◽  
Scheduling Method

The problem of load balancing in cloud environment has been approached by different scheduling algorithms. Still the performance of cloud environment has not been met to the point and to overcome these issues, we propose a naval ADS (Availability-Distribution-Span) Scheduling method to perform load balancing as well as scheduling the resources of cloud environment. The method performs scheduling and load balancing in on demand nature and takes dynamic actions to fulfill the request of users. At the time of request, the method identifies set of resources required by the process and computes Availability Factor, Distributional Factor and Span Time factor for each of the resource available. Based on all these factors computed, the method schedules the requests to be processed in least span time. The proposed method produces efficient result on scheduling as well as load balancing to improve the performance of resource utilization in the cloud environment.

scholarly journals REVIEW OF TASK SCHEDULING METHODS FOR REAL TIME TASKS IN CLOUD ENVIRONMENT

2020 ◽  
Vol 5 (1) ◽  
pp. 85-89
Author(s):  
Dinkan Patel ◽  
Anjuman Ranavadiya
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Task Scheduling ◽  
Virtual Machines ◽  
Dynamic Scheduling ◽  
Scheduling Algorithms ◽  
Minimum Time ◽  
Cloud Environment ◽  
Static Scheduling ◽  
On Demand

Cloud Computing is a type of Internet model that enables convenient, on-demand resources that can be used rapidly and with minimum effort. Cloud Computing can be IaaS, PaaS or SaaS. Scheduling of these tasks is important so that resources can be utilized efficiently with minimum time which in turn gives better performance. Real time tasks require dynamic scheduling as tasks cannot be known in advance as in static scheduling approach. There are different task scheduling algorithms that can be utilized to increase the performance in real time and performing these on virtual machines can prove to be useful. Here a review of various task scheduling algorithms is done which can be used to perform the task and allocate resources so that performance can be increased.

scholarly journals Research Key Techniques of Data Security in Public Cloud

2019 ◽  
Vol 8 (2) ◽  
pp. 40-43
Author(s):  
Sheik Saidhbi
Keyword(s):  
Cloud Computing ◽  
Comparative Analysis ◽  
Computer Science ◽  
Data Security ◽  
The Internet ◽  
Public Cloud ◽  
Security Issues ◽  
Model Based ◽  
Key Techniques

Internet working security has become one of the biggest uprising points of concern now days. People are getting attached more and more to the internet in order to fulfill their demands. Not only customers but also the IT based companies are also getting themselves relying on up growing technology called as cloud computing. Cloud is a branch of computer science that provides the services on lease. In this paper we will make a comparative analysis of various technical security issues towards cloud computing, cloud deployment based security and model based security issues. A comparative analysis has been made at the end of the paper.

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