SLA-Based Trust Model for Cloud Computing

Cloud computing is a new form of technology, which infrastructure, developing platform, software, and storage can be delivered as a service in a pay as you use cost model. However, for critical business application and more sensitive information, cloud providers must be selected based on high level of trustworthiness. In this paper, we present a trust model to evaluate cloud services in order to help cloud users select the most reliable resources. We integrate our previous work “conceptual SLA framework for cloud computing” with the proposed trust management model to present a new solution of defining the reliable criteria for the selection process of cloud providers

Impact analysis of wireless and mobile technology on business management strategies

This research examines whether congruence exists between wireless and mobile technology with impact analysis on a firm’s business management development and future strategies.  The research adopted the Motorola Inc. as a case and the qualitative approach as the research method.  It emerged from analysis that consumers, business management strategies and future strategic directions are embedded in wireless and mobile technology. Despite having high tech wireless and mobile technology, it is not always been possible to appear as the market leader within industry, where future consumer behaviour and business management strategies will differ from the one those exist today.  This study proposes a new framework for diversifying intellectual capacity to develop consultancy based growth opportunity at Motorola.  This also suggests intense mobile and wireless technological impacts on relationships with customers, enterprise agility and business management strategies in the internet based market structure. Keywords: wireless and mobile technology, process automation, cloud infrastructure, convergence, business management strateg

Towards a Beacon-based Situational Prioritization Framework for Process-Aware Information Systems

The ongoing digitalization of enterprise computing solutions and the creation of ubiquitous workspaces over new advantages for many business domains. However, it is cost- and work-intensive to create these new kinds of workspaces by adopting interconnecting things and migrating applications into the cloud. On the other, enterprises increasingly strive for the potential of the new workspace opportunities to support their operational processes in the best way. For this purpose, we present an approach to enhance the integration of human resources into business processes by gathering environmental information and reacting to situational changes of workers. More specifically, we present a framework based on beacon technology to determine a situational priority for work items with the goal to properly support the worker in his or her decision-making process. We regard such framework as important aspect for many business domains in order to cope with the demands emerging in the light of work management that requires ubiquitous access to all enterprise resources in the best possible way

The Service Retention Model of Cloud Computing

Cloud computing has shifted the paradigm of the IT service industries by offering flexible and cost-efficiency subscription-based online services. Since its advent, the adoption of cloud computing has rapidly been increased in private business as well as governmental institutions. According to IDG’s cloud computing survey (2018), 73% of organizations have at least one application or a portion of their computing infrastructure deployed in the cloud. The adoption rate has been on the rise from 51% in 2011, and so has the average cloud budget from $1.61 million in 2016 to$2.2 million in 2018 (IDG, 2018). One might think this is an opportunity for cloud computing as a research domain as well as a business model because it has enjoyed this unprecedented popularity. However, as cloud computing and relevant research have been matured, it has also posed various new challenges including sustainability, security, data management, and reliability and created the need for new approaches to study (Buyaa et al., 2018). In particular, given that cloud computing has been deployed since Amazon introduced its Elastic Compute Cloud (EC2) in 2006 (Regalado, 2011), it is time to think about not only adoption of cloud computing but also post-adoption usage of it. With this in mind, this study is designed to examine the post-adoption use of cloud computing. Using the analytic hierarchy process (AHP, Saaty, 1980) as a framework, this study investigates the factors that might affect firms’ service retention decisions

Approaching the potential of cyber-physical systems to tourism projects

We are witnessing the need for a quick and intelligent reaction from organizations to the level and speed of change in business processes. This is often associated with the emerging of new information systems and technologies, bursting problems like the persistence of wrong information, systems not fully used and slow response. This requires two main actions: synchronizing people’s visions and strategies within the organization and selecting the information which is relevant for the strategic goals. The main challenge of the proposed approach is to choose the information systems’ portfolio management aligned with the enterprise architecture. This integration leads to modelling the process architecture of the company, which in turn serves as a reference for knowledge-base management to cope with business prospects. This kind of flexible framework can contribute to managing the potential adherence to new systems such as the mobile, cloud, big-data or IoT-based services that tend to proliferate especially in such areas as tourism and health

A framework for cloud computing adoption in small and medium-sized enterprises : a case of the Accra - Tema metropolis in Ghana

Cloud computing adoption and usage is important to achieving business competition. This is done by making it a competitive tool for firms. The adoption of cloud computing enables firms to achieve greater business competency, improve performance, and allows them to maintain their competitive advantage. Since its emergence, there has been a surge in the adoption of cloud computing with research into its adoption primarily concentrated on bigger firms. However, a major characteristic of cloud computing is the anticipated possibilities it holds for small and medium-sized enterprises (SMEs). SMEs typically operate differently from larger firms and are not limited by resource constraints. For SMEs, the reduction in the financial burden normally associated with the adoption of new technologies is a significant benefit of cloud computing due to their financial constraints. In Ghana, SMEs mostly use obsolete technologies and have a slow response towards new technologies. Thus, they are unable to harness the numerous opportunities technology presents to them to stay competitive. Cloud computing is still regarded as a new technology in the business world, therefore research that focuses on its adoption by SMEs to help them stay competitive is minimal. Available research on cloud computing in Ghana does not provide clear guidelines for ensuring a successful adoption process and the continued use of cloud computing services. This study seeks to investigate how a framework can assist SMEs in their use of cloud computing in the Accra-Tema metropolis of Ghana. A knowledge of the factors associated with adoption decisions and those that significantly influence the decision are required to ensure a successful adoption process. The empirical data was gathered using a questionnaire and face-to-face interviews developed from literature and administered to users and potential users of cloud computing. The questionnaire and interviews primarily investigate key adoption factors and the findings are reported in this research study. The findings reveal interesting insights into understanding issues that affect the overall decision to adopt and use cloud computing services by SMEs. The findings show that the adoption of cloud computing can improve information management practices within SMEs. The findings also reveal that several factors need to be considered in the overall decision to adopt and use cloud computing to ensure a successful adoption process. An initial cloud computing adoption model was proposed based on the empirical findings. Key adoption factors of the initial adoption model include adoption benefits and drivers, concerns and barriers, adoption interventions, and information management in the cloud. computing adoption framework. The proposed adoption framework aims to assist SMEs to adopt and use cloud computing services and make them relevant in the global market

Adaptive Process Distribution at the Edge of IoT using the Integration of BPMS and Containerization

Täna levivad pilvepõhised värkvõrgu (asjade interneti) süsteemid tuginevad protsesside halduseks kaugel asuvatel andmekeskustel, mis toob endaga kaasa latentsusprobleeme. Vastusena sellele probleemile on varem välja pakutud servaarvutuse lähenemine, kus arvutused viiakse läbi asjade interneti süsteemi võrgule füüsiliselt lähemal. Mitmete servaarvutuse metoodikate seas on uduarvutus lähenemine, kus rõhk on arvutuste liigutamisel värkvõrgu seadmetele endile. Ehkki uduarvutusel põhinev arhitektuur on paljutõotav, tõstatab see küsimuse – kuidas värkvõrgu protsessihaldussüsteemid (BPMS4IoT-süsteemid) äriprotsesse heterogeensetele värkvõrgu seadmetele jaotama peaksid? Levinud on lähenemine, kus protsesside töövooülesannete käituseks tuginetakse ühisele platvormile. Näiteks, kui haldusserver defineerib teatud töövoo ülesandena Pythoni skripti ja määrab selle seadmele, siis peab seadme töövookäitusmootor toetama vastavat mehhanismi skriptide jooksutamiseks. Selline nõue ei ole paindlik, arvestades värkvõrgu seadmete heterogeensust. Käesolevas magistritöös pakub autor välja raamistiku, mis eraldab töövoo ülesannete käitusmeetodi käitusmootorist kasutades selleks konteinertehnoloogiat. Töö käigus arendati välja raamistiku prototüüp ning viidi läbi katseid mikroarvutitel põhinevail seadmetel. Lisaks võrreldi väljapakutud uduarvutuse raamistiku jõudlust pilvearvutusel põhineva süsteemiga.Emerging cloud-centric Internet of Things (IoT) system relies on distant data centers to manage the entire processes, which raises the issue of latency. To address the issue, researchers have introduced the Edge computing methodologies that carry out computation closer to the edge network of IoT system. Among the numerous Edge computing approaches, Mist computing paradigm emphasises the mechanism that moves the computation further to the front-end IoT devices. Although the architecture of Mist computing is promising, it raises a new challenge in how the Business Process Management System for IoT (BPMS4IoT) distributes the business process workflow to the heterogeneous IoT devices? In general, executing business process workflows relies on the common platform for executing customized tasks. For example, if the management server defines a Python script task in a workflow, which has been allocated to an IoT device, the workflow engine of the IoT device must have the compatible execution method. Such a requirement is less flexible when one considers the heterogeneity of the IoT devices. Therefore, in this thesis, the author proposes a framework to decouple the workflow task execution method from the workflow engines using the containerization technology. A proof-of-concept prototype has been developed and has been tested on several single-board computers-based IoT devices. Further, a case study has been performed to demonstrate the performance of the proposed framework comparing to the cloud-centric system

Personal Decision Factors Considered by Information Technology Executives: Their Impacts on Business Intentions and Consequent Cloud Computing Services Adoption Rates

During its infancy, the cloud computing industry was the province largely of small and medium-sized business customers. Despite their size, these companies required a professionally run, yet economical information technology (IT) operation. These customers used a total value strategy whereby they avoided paying for essential, yet underutilized, resources (e.g., full-time IT personnel and computing equipment with excess capacity) by outsourcing most, if not all, of their entire IT function. Since that time, the cloud industry has expanded the breadth of its service offerings greatly and the economies of scale have reduced the unit price point. In addition, research suggests other factors are believed to exist that make a decision to execute a wholesale “rip and replace” of legacy systems difficult for today’s IT executives. Accordingly, this study sought to identify factors that affect the decision-making process of IT executives when evaluating conversions of applications to cloud-based solutions. While theories such as diffusion of innovation (DOI) theory, transaction cost theory (TCT), and agency theory influenced this research, motivation theory and the technology, organization, and environment (TOE) framework made the greatest contributions to the foundation of the study. The exploration of personal factors that influence current business intentions to adopt cloud computing services is an important research topic for several reasons. There is an implication of a strong academic and industry interest in the area from the considerable research conducted and published concerning IT strategies related to cloud computing. Most prior research has been limited to the benefits and basic strategies behind cloud computing and related operational and financial considerations. Nuseibeh and Alhayyan’s (2014) recent extensive literature review identified personal factors that contribute to the adoption of cloud computing services as a gap in current research. Prior research has not explored the personal challenges and barriers to broader acceptance of cloud technology. Furthermore, little research has addressed the specific barriers to acceptance or the specific factors considered in the decision-making process. This study found several personal decision factors influence the decisions of IT executives regarding the selection of cloud computing services. Data collected from 189 respondents supported five of the seven hypotheses. These hypotheses state that advancement, recognition and satisfaction from accomplishments, top management support, diminishment of personal image, and pattern of technology readiness have a positive influence on business intentions to adopt cloud computing services. The diminishment of personal image finding in the current study warrants additional research to gain an understanding of its business implications. These results may provide insights into the challenges sales organizations that cloud computing service providers face when attempting to market their offerings. Proposals that include strong, viable provisions for mitigating risks (e.g., assigning an experienced project manager to the migration project, means for ensuring data security, provisions for thorough system and performance testing, etc.) have a greater likelihood of acceptance by IT executives. The constructs in this research also contribute additions to the nomological network (a creation of Cronbach and Meehl [1955]) that may support future research into personal influencers of new technology decisions

A framework and tool to manage Cloud Computing service quality

Cloud Computing has generated considerable interest in both companies specialized in Information and Communication Technology and business context in general. The Sourcing Capability Maturity Model for service (e-SCM) is a capability model for offshore outsourcing services between clients and providers that offers appropriate strategies to enhance Cloud Computing implementation. It intends to achieve the required quality of service and develop an effective working relationship between clients and providers. Moreover, quality evaluation framework is a framework to control the quality of any product and/or process. It offers a tool support that can generate software artifacts to manage any type of product and service efficiently and effectively. Thus, the aim of this paper was to make this framework and tool support available to manage Cloud Computing service quality between clients and providers by means of e-SCM.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-RJunta de Andalucía TIC-578