Logistics and cloud computing service providers’ cooperation: a resilience perspective

Job scheduling system problem is a core and challenging issue in Cloud Computing. How to use Cloud computing resources efficiently and gain the maximum profits with job scheduling. Job scheduling system is one of the Cloud computing service providers’ ultimate goals. In this paper, firstly, by analysis the differentiated QoS requirements of Cloud computing resources users’ jobs, we build the corresponding non-pre-emptive priority M/G/1 queuing model for the jobs.Then, considering Cloud computing service providers’ destination which is to gain the maximum profits by offering Cloud computing resources, we built the system cost function for this queuing model. After that, based on the queuing model and system cost function, considering the goals of both the Cloud Computing service users and providers, we gave the corresponding strategy and algorithm to get the approximate optimistic value of service for each job in the corresponding no-pre-emptive priority M/G/1 queuing model. Finally, we also provide corresponding simulations and numeral results.Analysis and number results show that our approach for job scheduling system can not only guarantee the QoS requirements of the users’ jobs, but also can make the maximum profits for the Cloud computing service providers.While the economic case for cloud computing is compelling, the security challenges it poses are equally striking. In this work we strive to frame the full space of cloud-computing security issues, attempting to separate justified concerns from possible over-reactions. We examine contemporary and historical perspectives from industry, academia, government, and “black hats”. We argue that few cloud computing security issues are fundamentally new or fundamentally intractable; often what appears “new” is so only relative to “traditional”computing of the past several years. Looking back further to the time-sharing era, many of these problems already received attention. On the other hand, we argue that two facets are to some degree new and fundamental to cloud computing: the complexities of multi-party trust considerations, and the ensuing need for mutual audit ability.

For the past several years, using cloud computing technology has become popular. With the cloud computing service providers, reducing the physical machine number providing resources for virtual service in cloud computing is one of the efficient ways to decrease the energy consumption amount which in turn enhance the performance of data centers. In this study, we propose the resource allocation problem to reduce the energy consumption. \(ECRA-SA\) algorithm was designed to solve and evaluate through CloudSim simulation tool compared with an FFD algorithm. The experimental results indicate that the proposed \(ECRA-SA\) algorithm yields a higher performance in comparison with an FFD algorithm.

Moving data and applications to the cloud implies shifting their control from cloud consumers to the cloud service provider (CSP) indefinitely. Hence, the security and privacy (Saamp;P) of the consumers' assets becomes an important issue. Assessing and comparing potential cloud computing (CC) services, poses an issue for CC adopters to choose Saamp;P options that are sufficient and robust at the same time. In this paper, we describe CC adopters' Saamp;P concerns. We identify a set of attributes that reflect various aspects of cloud Saamp;P in an attempt to alleviate those concerns. We classify the attributes based on their tangibility and their relevance to Saamp;P threats. Every attribute in our list is represented by a set of considerations (i.e. polar questions) to assess its quality. We present a tool that embodies our set of attributes. We aim to enable consumers to assess and compare CC services, in terms of Saamp;P, so that they can make well-educated choices. CSPs can also make use of these attributes to offer better cloud Saamp;P.

The lack of confidence in entrusting sensitive information to cloud computing service providers (CSPs) is one of the primary obstacles to widespread adoption of cloud computing, as reported by a number of surveys. From the CSPs’ perspective, their long-term return-on-investment in cloud infrastructure hinges on overcoming this obstacle. Encryption and privacy protection techniques only solve part of this problem: in addition, research is needed to increase the accountability and auditability of CSPs. However, achieving cloud accountability is a complex challenge; as we now have to consider large-scale virtual and physical distributed server environments to achieve (1) real-time tracing of source and duplicate file locations, (2) logging of a file’s life cycle, and (3) logging of content modification and access history. This position paper considers related research challenges and lays a foundation towards addressing these via three main abstraction layers of cloud accountability and a Cloud Accountability Life Cycle.

Cloud Computing (CC) is a paradigm shift with the potential of transforming the information and communication technology (ICT) industry. ICT is an integral part of all businesses, and CC helps in lightening the burden of massive ICT investments. Thus, it is essential to understand the factors that influence CC adoption. The purpose of this study is to identify and rank critical factors for CC adoption in the Indian context. The research has adopted mixed methodology (qualitative and quantitative). Experts from 13 organizations (including 8 cloud service providers (CSPs) and 5 cloud service users (CSUs)) are interviewed. Content analysis is used to confirm existing factors and identify new factors in the Indian context. Qualitative analysis has identified four new factors, namely, ‘time to market’, ‘futuristic’, ‘resistance to change’ and ‘financial losses’ (arising from security and resource availability). The quantitative part of the research used analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) techniques to rank the factors. The analysis revealed ‘IT service cost’ and ‘time to market’ as the most critical factor through FAHP and AHP respectively. However, ‘organization size’ is reported the least critical for CC adoption through both the methods. The results also highlight divergence among the criticality of CC adoption factors using the two techniques. The study is very useful for CSPs and key decision-makers to understand the critical adoption factors and judiciously strategize for CC service promotions. It will also help users to wisely decide while making CC adoption decision.

Cloud computing is the most important part of today's information technology world that provides solutions to almost all the sectors for improving their business. This innovation helps organizations to enhance or redesign the services at a very low expense. This study investigates the integrated factors that impact in adopting Cloud computing technologies in banking industries in order to adopt innovation benefit. In this paper, the quantitative analysis were performed based on the questioners and answers given by 2358 banking industry related persons like bank managers, customers, higher management. The questionnaire is based to identify their opinion for the adoption of cloud computing for services in banking industry. Benefits and challenges of cloud adoption in banking industry are also identified. We have proposed a cloud adoption framework Cost, Organizational, Technological, Environmental and Decision-maker (COTED) factors. The findings of this research have revealed that all the identified factors have a significantly effect on the adoption of cloud computing technologies for banking industry. With the findings, cloud computing service providers will have a better understanding of what factors are most influencing for cloud computing adoption with relevant insight on current promotions.

Cloud computing services have become important to IS/IT recently. Cloud service providers (CSPs) support different types of cloud computing services (Infrastructure as a Service, Platform as a Service, and Software as a Service). There are many challenges and concerns in using cloud computing services that may cause many risks. These risks need addressing while using cloud computing. CSPs provide procedures in order to control risk areas while providing their services. There are many studies that assess risks in cloud computing services. They provide evaluation tools and/or frameworks to manage the risk in cloud computing services. Moreover, IS/IT governance is one of the most powerful ways to achieve IS/IT business alignment. The main goals of IS/IT governance are to ensure that the investments in IS/IT generate business values and to mitigate the risks associated with IS/IT. Even though there are various risks in cloud computing services, there is no comprehensive framework to support risk assessment according to user’s needs. In this paper, we aim to provide a conceptual framework for governance in cloud computing services. This framework will focus on cloud client (CC) requirements to achieve the governance.KeywordsCloud computingGovernanceRisk assessmentSLARisk control

The increasing significance of logistics activities that extend across the boundaries of supply chain firms highlights the importance of managing relationships within the supply chain. Many automotive companies nowadays find outsourcing logistics functions to be a compelling choice. In the current landscape, a growing number of automotive companies are opting for outsourcing logistics functions. This shift is driven by the desire to attain strategic advantages in logistics with the ultimate goal of cost reduction. As the Malaysian automotive industry continues to grow annually, it is increasingly crucial for car manufacturers and assemblers in Malaysia to establish successful relationships with Logistics Service Providers (LSPs). In alignment with the current marketing concept that prioritizes relational benefits and insights derived from the supply chain management literature concerning consumer satisfaction, this research evaluates logistics service performance perceived by manufacturers. The validation process involves distributing questionnaires to 74 car manufacturing companies in Klang Valley area, achieving a response rate of 52.7%. In this study, the automotive companies are chosen to examine the relative importance of the three identified benefits, Special Treatment, Value Added (VAL), and Collaborative Benefits (COL) using Structural Equation Modelling (SEM) and a new benefit, Loyalty Benefit (LOY), was added to the framework. The contribution of this study includes providing new theoretical insights into the benefits–satisfaction–loyalty triad as applied by manufacturers and logistics service providers (LSPs). It also provides valuable perspectives on how to strategically evaluate logistics providers, aiming to transform a logistics firm from a tactical service provider into a closely integrated strategic partner

Cloud computing (CC) has many benefits, so its use has spread rapidly, particularly in the business sector. An important consideration in the acceptance of CC is whether the CC system is dependable, and it can differ among industry and service type. However, little research has considered the effect of dependability (composed of availability, reliability, security, maintainability) on CC acceptance. Especially, group comparisons between high IT-intensive (Hi-ITi) and low IT-intensive (Lo-ITi) industries have not been reported, nor have comparisons between software-as-a-service (SaaS) and platform-as-a-service (PaaS)/infrastructure-as-a-service (IaaS). This study aims to explore how the dependability of CC affects users’ intent to accept it, with focus on how this intent is affected by intensity of IT use (by industry) and by the type of CC service used. To validate the proposed model, this study applied structural equation modeling and conducted multi-group analysis. A total of 230 business managers in South Korea represent the sample for our study. For the full dataset, the three dependability attributes (availability, reliability, security) do not affect the usefulness of CC, but do affect the ease of use of CC. The usefulness of CC is a determinant for positive intention to accept CC, whereas the ease of use of CC is not. Maintainability is the strongest determinant of CC adoption for the full dataset, and for all individual groups, except those that use SaaS. For Hi-ITi and Lo-ITi industries, results show that managers show no differences in their perceptions of the effect of dependability attributes (availability, reliability, security) on the usefulness and the ease of CC. The absence of such a difference in managers’ perception also applies to the relationship between two core variables of TAM (i.e., perceived usefulness, perceived ease of use) and behavioral intention to accept CC. For SaaS and PaaS/IaaS, managers have different perceptions of security on the usefulness of CC, and the effect of the usefulness of CC on the intention to accept CC. The findings can provide academic researchers and industry practitioners with a differentiated and in-depth perspective on the understanding and the spread of CC.

The purpose of this research is to study the factors affecting cloud computing adoption. This study used the technology-organisation-environment TOE framework as a baseline for the factors affecting cloud computing adoption. The specific factors in the TOE framework are relative advantage, compatibility, complexity, organisational readiness, top management support, competitive pressure, and business partner pressure. An online-based survey was employed to collect data from 106 IT managers, IT consultants, and IT professionals working in Saudi organisations. Using binary logistic regression analysis, the results revealed that top management is positively and significantly associated with the likelihood of cloud computing adoption. The findings offer organisations and cloud computing service providers with better understanding of factors affecting the adoption of cloud computing.

Although software and computing process have long been regarded as products among consumers (Armbrust et al., 2010; Skiba, 2011), the advancement of technologies (e.g., high-speed internet) and infrastructures leads to the notion that software and computing can be delivered as a type of service through an innovative technology called cloud computing. Cloud Computing Service (CCS) delivers applications and processing as services via the Internet, while the software and data are stored on servers at a remote location (Armbrust et al., 2010). In other words, under the context of CCS, software and computing process have become a utility such as electricity and water. Advantages of CCS include reduced investment in hardware and software, immediately elevated performance, etc. CCS is believed to be a billion dollar market and growing (Buyya, Yeo, Venugopal, Broberg, & Brandic, 2009). Nevertheless, CCS will reshape the way in which consumers perceive software and computing process (Armbrust et al., 2010) and make purchase decisions. How the notion of CCS diffuses among individual consumers remains unexplored.

PurposeThis bibliometric study is steered to compute the impact of literature published on cloud computing within the fields of information science and library science. The research has been conducted on concentrating the term “Cloud Computing” to search the literature published in both fields, i.e. information science and library science from the time span 2007 to August 2023. This study aims to investigate the top productive country, organizations and highly cited publications.Design/methodology/approachThe period of the exploration was from 2007 to August 2023 for bibliometric analysis and data was collected from the ISI Web of Science. Total 401 documents were retrieved and analyzed to highlight the year-wise distribution of documents type, year-wise most cited articles, prominent journals of the subjects, productivity of organizations, impact of countries and cooccurrences of keywords. The results are grounded on the basis of documents types (articles, early access articles, proceeding papers, book review, editorial material, news items and reviews).FindingsThe findings reveal that the most productive year of publication on cloud computing services was 2013. The top productive source is “International Journal of Information Management.” The articles entitled “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors” found as the most cited article and the significant increase in citations is also noteworthy. The most productive organizations on the topic include “Islamic Azad University of Iran,” “University Cologne of Germany” and “University Nova Lisboa of Portugal.” The results confirmed that the USA dominates in the production of research on “Cloud Computing Services” and the most repeated keyword in the literature is cloud computing. The research articles are the most cited sources of research.Originality/valueThis bibliometric research is an original piece of work that has been conducted to measure the research production in the field of information science and library science during 2007−2023. This piece of work is valuable for those who want to study the literature on cloud computing in the area of information science and library science.

In today's rapidly evolving world and global marketplace, the logistics industry is undergoing a remarkable transformation due to the age of digitalization. The logistics service providers play a crucial role in facilitating the efficient movement of goods and services across various industries. As technology continues to advance, logistics service providers must adapt to the changing landscape and embrace digital solutions to remain competitive. The concept of Industry 5.0 has emerged as the next phase of industrial revolution, characterized by the seamless collaboration between humans and automated systems. Within this context, the logistics sector, known for its intricate supply chains and extensive operations, stands to benefit immensely from the integration of Industry 5.0 principles. This essay aims to examine and explore the current situation of logistic sector and service providers in light of digitalization, highlighting the challenges and opportunities they face in this dynamic environment.

Cloud computing is an emerging information technology (IT) paradigm which undoubtedly has received significant attention from different spheres of influence. The cloud computing concept entails the provisioning of computing resources from remote locations to individuals or organizations over the internet at anytime. The technology is associated with several benefits but the reduction in capital and operational expenditure is the major one. The importance of IT innovations to Small and Medium Enterprises (SMEs) and the role of SMEs in economic growth have been demonstrated empirically. However, literature indicate that SMEs in developing economies are not taking the advantages of emerging technologies like cloud computing to improve operational excellence within their organizations. An in-depth review of academic publications, technical reports, and industry white papers on cloud computing has confirmed security and privacy is-sues as some of the key inhibitors to cloud computing adoption among SMEs. This is probably because the customer data is released to remote locations, which are invisible, and data is accessed over the internet, which is already over-whelmed with malicious attackers. This study explores the reasons for the lack of cloud computing adoption among SMEs in developing economies. When the rea-sons for this lag are identified, cloud computing service providers, technology policy makers, entrepreneurs and SMEs executives will be provided with the opportunity to develop appropriate solutions and strategies that will specifically meet the needs of SMEs in developing economies. This will promote and accelerate the acceptance rate of cloud services. When SMEs utilize cloud computing as an IT strategy, business growth becomes inevitable and the country's economic growth is witnessed.

The concept Cloud computing has not only reshaped the field of distributed systems but also fundamentally changed how business potential extends today. In recent advancements, Cloud computing applications are provided as services to end-users. The application services hosted under Cloud computing model have complex provisioning, configuration, and deployment requirements How to use Cloud computing resources efficiently and gain the maximum profits with efficient utilization of resources is one of the Cloud computing service providers' ultimate goals. Repetitive evaluation of the performance of Cloud provisioning policies, application workload models, and resources performance models in dynamic system are difficult to achieve and rather a time consuming and costly approach. To overcome this challenge, Cloud analyst simulator based on Cloud Sim has been proposed which enables the modeling and simulation in cloud's ambience. The objective of this paper is to prove that the choice of VM Scheduling Policy in Cloud computing model significantly improves the application performance under resource and service demand variations. We will discuss different Virtual Machine (VM) Scheduling Policies implemented and their performance analysis in Virtual environment of cloud computing in order to achieve better Quality of Service (QoS).