Cloud Storage and Bioinformatics in a private cloud deployment: Lessons for Data Intensive research

This paper describes service portability for a private cloud deployment, including a detailed case study about Cloud Storage and bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). Our Cloud Storage design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture and user support. Experiments for data services (backup automation, data recovery and data migration) are performed and results confirm backup automation is completed swiftly and is reliable for data-intensive research. The data recovery result confirms that execution time is in proportion to quantity of recovered data, but the failure rate increases in an exponential manner. The data migration result confirms execution time is in proportion to disk volume of migrated data, but again the failure rate increases in an exponential manner. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules and simulations for medical training. Our Cloud Storage solution described here offers cost reduction, time-saving and user friendliness

Data Migration to Cloud in ERP Implementations

The concept of Cloud Computing has evolved constantly, in strand of service models, based on the creation and share of several technological resources. Increasingly, it has used virtualization technology to optimize resources, which are shared by all accounts, in a self-service format. All these features result in a flexible and progressive behavior of resources. The management of the service provided, is made based on the service level agreement established between the client and the cloud provider, and the constant technological developments can quickly change depending of the requirements. That said, knowing the current state of Wipro with respect to the concepts of data migration and cloud being combined into one, it is very challenging to design and build a possible process to help the company make this transition. Especially, when there is already a tool that has been used for several years and it is intended to be part of this integration with a new possible solution that is described along this document. The study, of qualitative nature, is guided by different case studies when it comes to the processes being used to migrate data into Cloud. The main objectives are to find new solutions that increase productivity of the company, save human resources that can be reallocated to other tasks, ending up to be considered innovative solutions, with rapid implementations and most importantly with low cost. What ends up in the overall objective of this dissertation that is to examine the feasibility of the adoption of Cloud Computing in Wipro Portugal through two main points: • The migration of data into Cloud; • Integration with Data Conversion Tool (DCT). We believe that this approach is very meaningful towards encouraging greater productivity and obtaining new achievements. Concerning the empirical study, there is a big number of tools that can be investigated later as possible solutions for other kind of implementations than Oracle Retail. For now this dissertation focus in the current OR business approaches and points for Oracle Cloud as the main Cloud Computing Service due to its partnership with Wipro. Both solutions that were implemented, SQL Loader and Golden Gate, seem viable and versatile as they can be integrated with the current tool, DCT and are capable of loading several amounts of data without any issues. In terms of performance Golden Gate seems to be a few steps above of SQL Loader, but requires deeper analysis when using multi threading as an option in both methods, and the containerization of the databases can be very relevant regarding the times of loading. In general, good solutions are available and need to be taken into consideration by the company as they can help to leverage its resources in a more efficient way and the main objective of having data in the Cloud was reached, having gathered knowledge about the behaviour of Oracle Cloud and some of the services

Decision Support Tools for Cloud Migration in the Enterprise

This paper describes two tools that aim to support decision making during the migration of IT systems to the cloud. The first is a modeling tool that produces cost estimates of using public IaaS clouds. The tool enables IT architects to model their applications, data and infrastructure requirements in addition to their computational resource usage patterns. The tool can be used to compare the cost of different cloud providers, deployment options and usage scenarios. The second tool is a spreadsheet that outlines the benefits and risks of using IaaS clouds from an enterprise perspective; this tool provides a starting point for risk assessment. Two case studies were used to evaluate the tools. The tools were useful as they informed decision makers about the costs, benefits and risks of using the cloud.Comment: To appear in IEEE CLOUD 201

InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services

Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels. Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination must happen automatically, and distribution of services must change in response to changes in the load. To counter this problem, we advocate creation of federated Cloud computing environment (InterCloud) that facilitates just-in-time, opportunistic, and scalable provisioning of application services, consistently achieving QoS targets under variable workload, resource and network conditions. The overall goal is to create a computing environment that supports dynamic expansion or contraction of capabilities (VMs, services, storage, and database) for handling sudden variations in service demands. This paper presents vision, challenges, and architectural elements of InterCloud for utility-oriented federation of Cloud computing environments. The proposed InterCloud environment supports scaling of applications across multiple vendor clouds. We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit. The results demonstrate that federated Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.Comment: 20 pages, 4 figures, 3 tables, conference pape