A report generation extension for an open source human resource management system

The rapid development of business enterprise software has greatly revolutionized how business is being done nowadays. However, most solutions are expensive and are more suited for large organizations, which poses a challenge for Small and Medium Enterprises (SMEs) to catch up in terms of operational excellence.Fortunately, initiatives for the development of free and open source software for various business processes continuously flourish with the help of academic Information Technology (IT) institutions, as well as organizations that support the Open Source movement.This phenomenon effectively empowers SMEs to achieve efficiency in various activities, and promotes financial sustainability.This study features the implementation of a free and open source Human Resource Management System (HRMS) called Orange HRM.It includes customization efforts to address the needs of some SMEs in the Philippines. It also discusses the cooperation between the academe and SMEs to promote sustainability in this project.Furthermore, it explains how scrum methodology was utilized in developing an extension for producing needed reports pertaining to work output, time sheet related information, and leaves.Various intranet and cloud-based approaches are also discussed. Opinions of employees, HR practitioners, and business owners who used the software are also summarized.Finally, recommendations and learning points are explained for future implementers

Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS

This case study illustrates the potential benefits and risks associated with the migration of an IT system in the oil & gas industry from an in-house data center to Amazon EC2 from a broad variety of stakeholder perspectives across the enterprise, thus transcending the typical, yet narrow, financial and technical analysis offered by providers. Our results show that the system infrastructure in the case study would have cost 37% less over 5 years on EC2, and using cloud computing could have potentially eliminated 21% of the support calls for this system. These findings seem significant enough to call for a migration of the system to the cloud but our stakeholder impact analysis revealed that there are significant risks associated with this. Whilst the benefits of using the cloud are attractive, we argue that it is important that enterprise decision-makers consider the overall organizational implications of the changes brought about with cloud computing to avoid implementing local optimizations at the cost of organization-wide performance.Comment: Submitted to IEEE CLOUD 201

Enterprise 2.0 – Is The Market Ready?

Enterprise 2.0 family technologies have growing popularity, the cloud computing market is growing rapidly and, as a consequence, companies of all sizes start to evaluate the potential fit. The use of “Software as a Service”, “Platform as a Service” and “Infrastructure as a Service” has been evolving during the past years and has become increasingly popular. As its computing viability and benefits are legitimized, the adoption rate is rapidly increasing. The most popular business model in the abovementioned family is by far “Software as a Service” (also called SaaS), which is a software distribution model assuming the software applications are hosted and maintained by the vendor or the distributor, and user access is granted exclusively by means of the Internet. Based on both literature review and action research, the paper at hand is a synthesis for the results of an empirical study performed during the last two years among Romanian and foreign companies, in order to outline and provide an objective and unbiased answer to the question: “Is the market ready for these technologies or did they come too soon?”. The paper is a part of a larger research performed by the author in the field of Enterprise 2.0 technologies.Enterprise 2.0, Software as a Service, Platform as a Service, Infrastructure as a Service, Empirical study

Cloud WorkBench - Infrastructure-as-Code Based Cloud Benchmarking

To optimally deploy their applications, users of Infrastructure-as-a-Service clouds are required to evaluate the costs and performance of different combinations of cloud configurations to find out which combination provides the best service level for their specific application. Unfortunately, benchmarking cloud services is cumbersome and error-prone. In this paper, we propose an architecture and concrete implementation of a cloud benchmarking Web service, which fosters the definition of reusable and representative benchmarks. In distinction to existing work, our system is based on the notion of Infrastructure-as-Code, which is a state of the art concept to define IT infrastructure in a reproducible, well-defined, and testable way. We demonstrate our system based on an illustrative case study, in which we measure and compare the disk IO speeds of different instance and storage types in Amazon EC2

How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft

High-Performance Cloud Computing: A View of Scientific Applications

Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a Service Level Agreement (SLA), which ensure the desired Quality of Service (QoS). Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS. Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science. As examples of scientific computing in the Cloud, we present a preliminary case study on using Aneka for the classification of gene expression data and the execution of fMRI brain imaging workflow.Comment: 13 pages, 9 figures, conference pape