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Write an Annotated Bibliography for your Capstone Topic with a collection of 12 articles following a set structure. The Annotated Bibliography is a critical examination of the most relevant and recent scholarly research on the topic area that is not just a summary of the articles you have read.
Article 1: Legacy Application Migration to Cloud
Cloud Computing refers to the use of various services such as servers, storage and software, software development platforms which is stored in a cloud. The article talks about how cloud computing has become a major Trend in the IT industry. The authors in this article have identified Technologies used for cloud computing. GUI Recognition Technology, GUI Reconstruction Technology, and Legacy Application Driving Technology are among the key Technologies. There are existing automation migration solutions but they are not widely accepted due to certain limitations. In this article, the authors have presented a solution named Application Migration Solution which would utilize GUI information of legacy applications to generate comparable web applications. But it won't be using any source code. The benefits of using Application Migration Solution is that companies will be able to deploy their Legacy applications very easily to the cloud. As identified in the article, this solution would help companies with their requirements of application customization or making more powerful applications. The issues can be from the existing Application Migration System (AMS) such as they might require the source code of legacy applications, they cannot be customized and upgraded for making further changes.
Article 2: A Risk Management Framework for Cloud Migration Decision Support The following topic highlights about the benefits companies can derive from Cloud Computing.
Although there are risk attached with it, Cloud Computing helps organizations to save their cost, and document low maintenance overhead. The highlight of this article is the risk management Framework utilized for cloud migration. The authors have discussed about the risk management framework that can help manage the risks. They have identified frameworks such as QUIRC security risk management framework which will be helpful to identify security risks. A quantitative risk model for mobile Cloud Computing has also been identified. Along with that a security risk management framework has also been coined for cloud computing that requires to follow certain standards. The benefit of these frameworks is to provide with cloud migration decisions that supports users so that they are able to make appropriate decisions. These frameworks is helpful for managing risks. The risks identified are data breach, lock-in, non-compliance of company policies and difficulties in migration.
Article 3: The Bene?ts of Using Experimental Exploration for Cloud Migration Analysis and Planning
The discussion is on the various challenges faced due to migration software systems to cloud. As identified by the authors, this has been an issue for businesses if they do not have sufficient expertise in the field of cloud computing. This is the reason for companies to seek expert help from solution providers. The authors suggest that the migration approach they have coined will help in better risk analysis process by integrating quality and cost. They have identified a Pattern-Based Migration Planning Framework which takes the source architecture of the system, cloud’s target architectural options and high-level architectural transformations. Along with that, the article has utilized experiments to identify the suitability of feasibility-driven migration studies which is useful for risk assessment. The associated risks with the feasibility study is the risk of failure at the time of full migration or when the software is operated. There can be issues with the migration process as well as issues with quality with the cloud provider.
Article 4: Cloud Migration Architecture and Pricing – Mapping a Licensing Business Model for Software Vendors to a SaaS Business Model
In this article, cloud migration as well as the existing approaches describing the technical and architectural migration have been highlighted. It is also evident that certain frameworks that will be helpful for businesses. The article has suggested that shifting from IaaS to PaaS architecture is useful to map investment in developing a better cloud software by avoiding any capital expenditure and generate revenues out of it. In order to identify the best architecture for a platform there can be certain cloud costs involved which requires to be calculated to cover both development and deployment of platform. There are factors listed out on the PaaS pricing model which is useful for the service providers. Models like Pay-per-user SaaS pricing model, and Pay- as-you Go SaaS pricing model have been utilized in this report. In order to determine the SaaS licensing model, the cost incurred for hosting SaaS application on a PaaS platform. The issues identified are the migration into cloud process as well as issues with the business.
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Article 5: BlueSight: Automated Discovery Service for Cloud Migration of Enterprises
The topic discusses about the benefits of migrating legacy enterprise infrastructures to the cloud. Cloud platforms generally come with multiple benefits for businesses success reducing management costs and providing versatility. However, migration processes can be lengthy as well as costly with an immediate demand of human interactions. In this report, the authors highlighted about the automated service for migration of the business systems to the cloud. This framework large businesses to collate only relevant information and data, provide sufficient information that can be utilized by migration engineers and accordingly find a plan for the
transformation process. The article shows the use of BlueSight architectural system which is used throughout migration analytics process. The benefit of this system it helps to collect data from various servers and the data collection process can be carried out remotely also. Although the BlueSight system is useful for big enterprises, there lies in issue of managing their Infrastructures and deciding on the applications to transform and their process.
Article 6: A Risk Management Approach for a Sustainable Cloud Migration
A detailed information of related work in the context of risk management in cloud computing has been analyzed in this article. One of the authors have identified management framework for cloud computing that would cover the service models for cloud and its deployment models. They have also identified an off-line risk assessment framework that can be utilized by cloud service providers. There can be potential risks when migrating certain applications to the cloud, therefore, this offline risk assessment framework will help to evaluate cloud service providers & security. The developing sustainable cloud migration which can be beneficial for enterprises and can be built from the support of IT professionals. The sustainability dimension for migrating the system to the cloud considers economic, social, environmental and technological dimensions. This sustainable approach migration allows businesses to manage the risks identified. The potential challenges can be taking appropriate cloud migration decision and forecasting the sustainability options can be utilized in practice and support business needs.
Article 7: Cloud migration process-A survey, evaluation framework, and open challenges
The article presented by The Journal of Systems and Software has identified certain frameworks that provide better opportunities from the existing approaches. From the article it can be analyzed that, it has reviewed on the legacy in the context of the process model. The proposal evaluation of framework in this article has identified certain development methodologies that can be applicable to the cloud migration. The evaluation framework has developed a two- dimensional criteria that would help to evaluate different methodologies for software development. The benefit of adopting a cloud conceptual framework to help decision makers in understanding the uncertainty is while deploying legacy applications into the cloud analyzing the options for deployment costs which can be a difficulty for the pricing scheme of Cloud Service Provider.
Article 8: MIGRATE OR NOT? EXPLOITING DYNAMIC TASK MIGRATION IN MOBILE CLOUD COMPUTING SYSTEMS
The topic highlights the rapid growth of cloud computing and its benefit to clients using mobile devices. As mentioned in previous articles, users are heavily benefited as they use and pay for the sources according to their need. This is possible due to pay-as-you-go pricing model. Mobile applications are becoming user friendly and sophisticated in terms of storage. This is the reason why this has given rise to mobile Cloud Computing. The benefit of utilizing efficient as scheduling when thinking of mobile Cloud Computing, a properly designed migration mechanism can improve the performance of mobile clouds. This will also ensure quality of service for mobile users. When designing an efficient migration mechanism for the cloud system, there can be certain challenges such as unpredictable multitenancy effects, resource demand uncertainty, incomplete information about cloud, and lesser understanding of data evaluation pattern. All the challenges can be mitigated by having a clear understanding of when to use the migration and how it should perform.
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Article 9: Presentation Methods for Task Migration in Cloud Computing by Combination of Yu Router and Post-Copy
The prime focus has been given to task migration which performs different goals such as workload sharing, reduction in response time, maintaining quality of service and Energy Management. The article has highlighted the types of migrations and the risk associated with them. The use of virtual technology to manage the plethora of data for organizations or simple data management by individual users is provided by cloud services. In this article, the authors have an approach that combines Yu Routing and post-copy migration. This will not only improve efficiency but also improve the transmission time, the network traffic overhead and services stop time.
The paper shows the migration methods of various virtual machines along with proposal of new approach for task migration in cloud computing. The risks as mentioned in the article are unfavorable conditions such as rising costs, decreased quality of service and loss of customers. All these unfavorable consequences can be caused due to non-using of migration techniques.
Article 10: Research on Cloud Computing Load Balancing Based on Virtual Machine Migration
The article presented by The Open Cybernetics and Systems Journal have addressed the issue of system load imbalance and inefficiency of running heavy parallel tasks in the Cloud Computing environment. The use of expensive Cloud Computing systems can only be beneficial to a certain point of time for businesses. This not only will save cloud resources but also will improve the performance of the cloud data center which can be managed by applying suitable scheduling algorithm. The frameworks used to highlight the load balancing algorithm are the Gathering model, the Monitoring model and the Forecasting model. The Gathering model discuss the time limit of the data transmission, the Monitoring model discusses on the value received from the gathering model and the Forecasting model will forecast load that might exceed the threshold. The article has conducted certain experiments to prove the proposed algorithm's effectiveness. The risk is associated with the use of expensive cloud computing platforms can drain out cloud resources and can be difficult for users to manage their data.
Article 11: Data Migration issues in Cloud Computing: A Survey
The topic is highlights about migration being an issue for cloud computing but on the contrary data migration is of utmost importance. There have been constant improvements in data migration to support cloud computing to make it effective and solve the issues of migration costs, transmission time and security issues. In data migration there are several models and frameworks utilized to mitigate the prevailing issues. The Application migration utilizes specific data models. The Business Process Migration uses both application system and human use. Database migration uses database software whereas storage migration uses storage technologies. There are three service models also that are utilized by clouds namely, IaaS, PaaS and SaaS which provide Cloud Computing platforms, resources and software to the users. All the models require high security to avoid any data breach. The issues identified are potentially in data migration are issues related to security of safe migration of data, standard of the quality of service, interoperability, and cost effectiveness.
Article 12: Towards a resource migration method in cloud computing based on node failure rule
The discussion is with regards to virtualizations design management and techniques for adaptive resource migration that are helpful in saving energy and improving the cloud computing system reliability. According to the authors, they have proposed various models that would facilitate improvements in the cloud computing system. First model is the Node failure processing model which deals with the performance of computing or its capability of storage while processing of task. The second model is the Failure processing model which deals with the failure of the unplanned node reboot, and aging of software. The third model is the Resource Management model which discuss about setting up of a Global Broker and a Local Broker within the same region. The benefit of using all these models to build a robust computing system that would help in improving the performance by detecting the failures in the system. The potential risks can be inefficient working of can be a threat for the end users.
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