Migrating to the Cloud

2016 ◽  
Vol 8 (1) ◽  
pp. 70-75
Author(s):  
Emmanuel Udoh ◽  
Mohammad Khan ◽  
Michael Grosse ◽  
Drew Arnette
Keyword(s):  
Cloud Computing ◽  
Disruptive Technology ◽  
Data Traffic ◽  
It Services ◽  
Cloud Environment ◽  
It Infrastructure ◽  
Migration Process ◽  
On Demand ◽  
Cloud Environments ◽  
Higher Institutions

The growth in data traffic within higher institutions has always been accompanied with the adoption of a more scalable IT infrastructure. With the increasing budgetary constraints, cloud computing (a disruptive technology) presents an attractive means to address the scalability challenges while realizing the potential of ubiquitous IT services. The on-demand business proposition of the cloud provides virtualized resources (software, platform, and infrastructure) with far-reaching efficiencies that have lowered the initial and operating IT costs for both small and large organizations. In migrating to the cloud environments, various organizations encounter challenges and experiences which are worthy of considerations by new entrants and established users. In this paper, the authors present the experiences of Sullivan University in transitioning to the complex cloud environment, in which a mixture of pilot and phased conversion steps were deployed in the migration process.

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.

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.

Migration of applications to the Cloud: a user-driven approach

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Anastasia Panori ◽  
Agustín González-Quel ◽  
Miguel Tavares ◽  
Dimitris Simitopoulos ◽  
Julián Arroyo
Keyword(s):  
Cloud Computing ◽  
Smart City ◽  
Public Services ◽  
Cloud Services ◽  
Cloud Environment ◽  
Public Cloud ◽  
Cloud Infrastructure ◽  
Migration Process ◽  
Empirical Application ◽  
Selection Of

During the last decade, there has been an increased interest on cloud computing and especially on the adoption of public cloud services. The process of developing cloud-based public services or migrating existing ones to the Cloud is considered to be of particular interest—as it may require the selection of the most suitable applications as well as their transformation to fit in the new cloud environment. This paper aims at presenting the main findings of a migration process regarding smart city applications to a cloud infrastructure. First, it summarises the methodology along with the main steps followed by the cities of Agueda (Portugal), Thessaloniki (Greece) and Valladolid (Spain) in order to implement this migration process within the framework of the STORM CLOUDS project. Furthermore, it illustrates some crucial results regarding monitoring and validation aspects during the empirical application that was conducted via these pilots. These findings should be received as a helpful experience for future efforts designed by cities or other organisations that are willing to move their applications to the Cloud.

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 Vivid analysis of Cloud Computing along with its security issues and challenges

2021 ◽  
Vol 23 (07) ◽  
pp. 458-463
Author(s):  
Varun Ravalia ◽  
◽  
Neha Sehrawat ◽  
Keyword(s):  
Cloud Computing ◽  
Theoretical Explanation ◽  
Disruptive Technology ◽  
Time Sharing ◽  
Cloud Technology ◽  
Security Issues ◽  
On Demand ◽  
Cloud Models ◽  
Access To Data ◽  
Modern Era

In the modern era, technologies are being used by everyone.” Cloud” refers to a collaborative expression for boundless advancements and progression. Cloud computing is a disruptive technology for providing on-demand access to data and applications from anywhere at any time in the world. Cloud computing incorporates various available innovations and technologies like virtualization, bandwidth networks, Web 2.0, browser interfaces, and time-sharing. Cloud computing enables us to share the resources like storage, applications, services, and networks without physically obtaining them. The data is stored in the databases on the servers and users/clients need to request access by sending the request to these servers. This paper includes the various details of cloud technology, its characteristics, its models alongside the challenges and problems faced in cloud computing. Here the focus is on the theoretical explanation of the cloud, models of the cloud, and the problems in the security and confrontation faced during the exertion of the cloud technology.

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 AN OVERVIEW OF CLOUD COMPUTING: PLATFORMS AND SECURITY ISSUES

2018 ◽  
Vol 5 (43) ◽  
Author(s):  
Paramjeet Kaur
Keyword(s):  
Cloud Computing ◽  
Capital Investment ◽  
Scale Up ◽  
Cloud Provider ◽  
It Services ◽  
Cloud Environment ◽  
Large Organization ◽  
Security Issues ◽  
User Data ◽  
Computing Platforms

Cloud computing is a new computing model which is widely emerging technology in the recent years is adopted by most of the IT companies and other organizations. Cloud computing enables individuals and organizations to gain access to huge computing resources without capital investment. Cloud computing is a set of IT services that are provided to a customer over a network on a leased basis and with the ability to scale up or down their service requirements. Cloud computing is the internet depend technology which is providing the services to user, small and large organization on demand. Cloud computing stored the user data and maintain in the data canter of cloud provider like Amazon, Oracle, Google, Microsoft etc. However, the cloud environment is considered untrusted as it is accessed through Internet. Therefore people have security concerns on data stored in cloud environment. The major concern of cloud environment is security during upload the data on cloud server.

A Comparative Cost Analysis of on Premises IT Infrastructure and Cloud-Based Email Services in an Indian Business School

2013 ◽  
Vol 3 (2) ◽  
pp. 21-34
Author(s):  
Sumedha Chauhan ◽  
Aparna Raman ◽  
N.P. Singh
Keyword(s):  
Cloud Computing ◽  
Net Present Value ◽  
Cost Effective ◽  
Time Frame ◽  
Disruptive Technology ◽  
It Infrastructure ◽  
Academic Needs ◽  
Go Model ◽  
Good Learning ◽  
The Cost

Cloud computing as a disruptive technology has given a chance to explore computing as a utility. The pay as you go model provides a flexible model to optimize cost. For different needs, cloud computing offers different models and services to balance the cost, time and resources. Faster communication is the need of each academic institute today to facilitate a good learning environment in a shorter and effective time frame. Email as a medium of communication gives a pace and substance to academic needs, especially in business schools. This paper aims to present a comparative analysis of the costs (on premises vs. cloud) for email implementation. Google apps for education have been considered for cloud based email service. Results show that the net present value (NPV) of cost for on premises infrastructure is more than NPV of cost for cloud based email service. This suggests cloud based email service is a cost effective solution for Indian B-schools to adopt.

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.

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