Evaluating the Cloud for Capability Class Leadership Workloads

Cloud computing is a service-based perspective on the provision of computing through the exploitation of technical innovations. The topic has exploded with interest in academic and technical literatures with some seeing it as a catalyst for innovation and economic growth whilst others see it conforming to the fashion hyperbole of many IT innovations. These contradictory forces are shaping the shift to cloud computing and contribute to the empirical evidence which shows uneven levels of adoption of cloud computing.

Springer eBooks, 2013

The race to keep software compatible and optimal with respect to the latest trends is hard. 90% of software cost can be due to maintenance, and 75% on developing new features to stay competitive and relevant. The industry progresses through periods of incremental development interspersed with true paradigm shifts. Legacy software must keep up the pace. At present we are experiencing one of these paradigm shifts, as remarked by the EC [1] "The speed of change in Internet technologies continues to be impressive. Software is becoming more and more pervasive: it runs on the devices that we use every day ... [opening] a new world of possible applications". Today, technological and business model innovation generates large demand for the transition of legacy software towards modernization. However, software modernization is not a trivial issue and if improperly done, it dangers the business continuity and sustainability. This means that for any company meditating about the transition to the new paradigm of cloud computing, there is a need to have at its disposal an innovative and combined technical and business analysis on the maturity and prospect of the legacy application. The major target of this process is to identify in advance the perspectives of the migration and pre-evaluate the performance and business benefits with relation to the cost of the process. For the first time, the business value will be directly attached to the technical performance. This paper presents this aforementioned approach, being currently developed and tested, in order to assess the maturity of an application and the convenience of migrating to the new cloud computing paradigm or not, based on quantitative indicators while always ensuring the company's business continuity. Following this approach, questions such as cost and effort of the migration, impact of new business models in the company or return of the investment will be provided in advance of tackling the actual modernization.

ACM Queue, 2009

Our panel of experts discuss cloud computing and how companies can make the best use of it. Many people reading about cloud computing in the trade journals will think it's a panacea for all their IT problems-it is not. In this CTO Roundtable discussion we hope to give practitioners useful advice on how to evaluate cloud computing for their organizations. Our focus will be on the SMB (small-to medium-size business) IT managers who are underfunded, overworked, and have lots of assets tied up in out-of-date hardware and software. To what extent can cloud computing solve their problems? With the help of five current thought leaders in this quickly evolving field, we offer some answers to that question. We explore some of the basic principles behind cloud computing and highlight some of the key issues and opportunities that arise when computing moves from inhouse to the cloud. Our sincere thanks to all who participated and to the ACM Professions Board for making this possible.

Operating Systems Review, 2010

Cloud computing carries the promise of providing powerful new models and abstractions that could transform the way IT services are delivered today. In order to establish the readiness of clouds to deliver meaningful enterprise-class IT services, we identify three key issues that ought to be addressed as first priority from the perspective of potential cloud users: how to deploy large-scale distributed services, how to deliver high availability services, and how to perform problem resolution on the cloud. We analyze multiple sources of publicly available data to establish cloud user expectations and compare against the current state of cloud offerings, with a focus on contrasting the different requirements from two classes of users -the individual and the enterprise. Through this process, our initial findings indicate that while clouds are ready to support usage scenarios for individual users, there are still rich areas of future research to be explored to enable clouds to support large distributed applications such as those found in enterprises.

The Journal of Computational Science Education, 2020

Developments in large scale computing environments have led to design of workflows that rely on containers and analytics platform that are well supported by the commercial cloud. The National Science Foundation also envisions a future in science and engineering that includes commercial cloud service providers (CSPs) such as Amazon Web Services, Azure and Google Cloud. These twin forces have made researchers consider the commercial cloud as an alternative option to current high performance computing (HPC) environments. Training and knowledge on how to migrate workflows, cost control, data management, and system administration remain some of the commonly listed concerns with adoption of cloud computing. In an effort to ameliorate this situation, CSPs have developed online and in-person training platforms to help address this problem. Scalability, ability to impart knowledge, evaluating knowledge gain, and accreditation are the core concepts that have driven this approach. Here, we present a review of our experience using Google's Qwiklabs online platform for remote and in-person training from the perspective of a HPC user. For this study, we completed over 50 online courses, earned five badges and attended a one-day session. We identify the strengths of the approach, identify avenues to refine them, and consider means to further community engagement. We further evaluate the readiness of these resources for a cloud-curious researcher who is familiar with HPC. Finally, we present recommendations on how the large scale computing community can leverage these opportunities to work with CSPs to assist researchers nationally and at their home institutions.

2009

IARJSET

Cloud computing has emerged as a transformative technology paradigm that is reshaping the way businesses and individuals' access, manage, and utilize computing resources. This paper presents a comprehensive exploration of cloud computing's multifaceted landscape, delving into its underlying concepts, deployment models, service models, benefits, challenges, and future directions. Through an extensive review of existing literature, case studies, and empirical data, this research highlights the profound impact of cloud computing on various industries, such as IT, healthcare, finance, and education. Furthermore, it examines the challenges posed by security, privacy, data governance, and vendor lock-in, emphasizing the need for robust solutions and best practices. The paper also addresses the evolving role of cloud providers and their continuous efforts to offer innovative services, including serverless computing, edge computing, and AI-powered analytics. It delves into the intricacies of cloud adoption strategies for organizations, considering factors such as scalability, cost-effectiveness, and regulatory compliance. By analysing real-world implementations and success stories, this research underscores the tangible benefits of cloud computing, such as enhanced agility, resource optimization, and global accessibility.

Future Generation …, 2009

Cloud computing is an important transition and a paradigm shift in IT services delivery -one that promises large gains in efficiency and flexibility at a time when demands on data centers are growing exponentially. The tools, building blocks, solutions, and best practices for cloud computing are evolving, and challenges to deploying cloud solutions need to be considered.

2021

The objective of this instrument is to measure the development of Cloud Computing competences presented in the strengthening of the academic curriculum to meet the needs of Industry 4.0 in the higher education institutions of the Government of the State of Mexico.