Migration Issues in Cloud Computing

2018

Cloud computing is a dynamic paradigm that is influencing activities in virtually all facets of the IT world. It has become quite easy to deploy applications on the cloud. Storage is also available based on user’s needs and can be scaled up or down as required by the user. Computing resources have also been made available on virtual machines. Furthermore, applications are available to users supplied by cloud providers. The activities on the cloud has made migration to the cloud desirable to most organizations and enterprises. Adopting the cloud is expected to reduce cost and the need for investment in computing infrastructure. However, most organizations are still concerned about the likely challenges of migrating to the cloud. The goal of this paper is to provide an insight into cloud computing with respect to migration issues. The paper discusses cloud computing and the benefits of migration. It also examines the challenges of migration. Furthermore, present issues of migration as...

Iraqi Journal for Computers and informatics

The cloud computing has acquired a great deal of attraction, the possibility for minimizing over and under provisioning through enabling a flexible sharing resource and allocation is still large. In this article, a complete analysis towards development of migration method from on premise to cloud will be presented. First we define cloud computing that includes three service models; platform, infrastructure, and software as a service over a network connection. This work demonstrates the issues which the decision makers are facing in the case of evaluating the feasibility of the migration legacy system in organization into cloud computing. Furthermore, describes our technology toolkit, which has developed to support this process. The efficiency of the proposed technology toolkit has being evaluated under testing as a case study that is exploring options to choosing deployment and cloud service models.

2015

This paper presents a novel framework for organisations to carry out a structured feasibility study on Cloud migration and to decide Cloud Migration Strategy. Following the framework helps an organisation to decide whether Cloud migration is a feasible option for them, and if so, the best strategic approach towards Cloud migration. It is a crucial and sensitive part for any organisation to decide whether they should move to Cloud Computing platform. The decision requires strategic approach with proper feasibility study. Several technological, human, security and financial factors are involved in decision making process to move to the Cloud. The proposed framework helps an organisation to carry out a feasibility study to decide whether to move to the Cloud, and if so, what would be the best approach towards Cloud migration. The proposed framework addresses the factors that an organisation must explore to decide on Cloud migration. Cloud Computing has its own pros and cons. A whimsical decision to move to the Cloud may be disastrous for an organisation. Following the proposed framework will help organisations to carry out a structured and integrated feasibility study deal with the decision on Cloud migration. CCS Concepts • Information systems➝Information Systems Applications➝ Computing Platforms • Security and Privacy➝Human and societal aspects of security and privacy.

Scientific & Academic Publishing, 2019

A real IT revolution, cloud computing offers businesses the opportunity to save money and simplify their IT infrastructure, while increasing productivity. The migration to the cloud remains complex; we must choose an efficient and secure solution adapted to the business strategy. This paper gives and overview on Cloud Computing and its various compositions. The paper also describes the advantages and disadvantages of migration to cloud and discusses the security challenges and risks of Cloud. Finally, the paper presents solutions to reduce risks and How to reduce risks and to develop security in Cloud.

2013

While cloud computing has certainly gained attention, the potential for increased uptake of the technology is still large. As a consequence, how to move and migrate to the cloud is an unanswered question for many organisations. Gaining an understanding of cloud migration processes from on-premise architectures is our aim here. For this purpose, we look at three provider-driven case studies based on the common three layers of cloud computing: Infrastructure (IaaS), platform (PaaS) and software (SaaS) as a service. These shall be complemented by a fourth, independent systems integration perspective. We extract common migration process activities for the layer-specific processes and discuss commonalities, differences and open issues. The results presented are based on expert interviews and focus groups held with major international cloud solution providers and independent consultants.

2018 UBT International Conference, 2018

Companies are addressing the Cloud Computing issue more actively recently, as a part of a move towards a more agile and flexible IT infrastructure since benefitting from an IT infrastructure that is flexible, scalable, high-performance and up-to-date is no longer a luxury or the exception to a rule. The issue they address is "Which is the best strategy?" Of course, this is not a simple issue given that the cloud can impact an organization's application picture across several dimensions. When an organizations made the decision to consider cloud services for its application or infrastructure deployment, it's important to understand the fundamental differences between the core categories of cloud services available since IT leaders and enterprise architects should prepare an overarching cloud strategy. The cloud is a very broad concept covering different types of online services, but when referring to cloud procurement, usually there are three models to be taken into the consideration, such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Another thing that needs to be addressed is choosing the provider of the cloud platform as service. To do that the organization needs to anticipate the storage, apps they use, performances they need, price, flexibility, etc. Through this review study research we're going to present shortly SaaS and PaaS as cloud service models and will describe in more details a possible migration IaaS strategy.

International Journal of Advanced Computer Science and Applications, 2016

Along with the significant advantages of cloud computing paradigm, the number of enterprises, which expect to move a legacy system towards a cloud, is steadily increasing. Unfortunately, this move is not straightforward. There are many challenges to take up. The applications are often written with the outdated technologies. While some enterprises redevelop applications with a specific Cloud provider in mind, others try to move the legacy systems, either because the organization wants to keep the past investments, or because the legacy systems hold important data. Migrating the legacy systems to the Cloud introduces technical and business challenges. This paper aims to study deeply and to compare existing Cloud migration methods, based on Model Driven Engineering (MDE) approach to highlight the strengths and weaknesses of each one. Finally, we have proposed a Cloud legacy system Migration Method relied on Architecture Driven Modernization (ADM), and explained its working process.

International Journal Of Engineering And Computer Science, 2024

The migration of a company's information systems to a cloud platform is a crucial part of the transformation of IT infrastructure. However, due to the mixture of business goals and limitations in existing IT systems, the selection and realization of these goals is not a simple one. In this paper, we present a model describing the possibility of migrating business information systems into a cloud environment by following the stochastic model approach. By properly identifying and defining various process aspects, it is relatively simple to adapt analysis and limit the transition probability matrix to well-known stochastic models. Careful manipulation of such a matrix allows using standard formulas for scaling discrete event systems to solve cloud migration problems. A detailed case study with simulation results, pointing to some of the practical limitations of the model, is presented at the end of this paper.

Cloud computing has been rapidly and radically changing the dynamics of IT consumption. The core cloud computing proposition is being able to buy compute technology as a service in an on-demand, elastic, and pay-as-you-go model. Public cloud offerings to the IT industry are very prominent. But the organizations, which have already invested money in their own infrastructure, are interested in setting up the private clouds within their organizational boundaries to avail the benefits of cloud computing technologies. In the present study a clear concept of the migration mechanism is presented which can be easily implemented in the cloud computing environment for the efficient, robust and cost effective management.

Background-By leveraging cloud services, organizations can deploy their software systems over a pool of resources. However, organizations heavily depend on their business-critical systems, which have been developed over long periods. These legacy applications are usually deployed on-premise. In recent years, research in cloud migration has been carried out. However, there is no secondary study to consolidate this research. Objective-This paper aims to identify, taxonomically classify, and systematically compare existing research on cloud migration. Method-We conducted a systematic literature review (SLR) of 23 selected studies, published from 2010 to 2013. We classified and compared the selected studies based on a characterization framework that we also introduce in this paper. Results-The research synthesis results in a knowledge base of current solutions for legacy-to-cloud migration. This review also identifies research gaps and directions for future research. Conclusion-This review reveals that cloud migration research is still in early stages of maturity, but is advancing. It identifies the needs for a migration framework to help improving the maturity level and consequently trust into cloud migration. This review shows a lack of tool support to automate migration tasks. This study also identifies needs for architectural adaptation and self-adaptive cloud-enabled systems.