Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing

Cloud computing (CC) services can offer substantial cost-effective global operational and relationship benefits if the cooperation between logistics and CC services are resilient. Potential vulnerabilities to cooperation of CC and logistics service providers can occur with respect to vital factors such as security and trust. Extant studies have demonstrated CC benefits as well as few challenges associated with CC services application. However, no extant study has examined the inter-organisational benefits based on cooperative resilience between CC and logistics service providers in terms of both capability and trust vulnerability factors. This study examines the cooperative resilience of logistics and CC service providers based on innovation diffusion theory within a supply chain risk assessment framework. Using structural equation modelling techniques, we investigate the relationship between the vulnerability factor (trust), capability factor (security) and collaboration benefits (relationship and operational) offered by CC service providers based on 236 Chinese logistics service firms’ perceptions of CC adoption. The results indicate Chinese logistics companies perceive security impediments as a major factor affecting cooperative resilience between logistics service and CC service providers.

Cloud Computing is emerging today as a commercial infrastructure that eliminates the need for maintaining expensive computing hardware. Through the use of virtualization, clouds promise to address with the same shared set of physical resources a large user base with different needs. Thus, clouds promise to be for scientists an alternative to clusters, grids, and supercomputers. However, virtualization may induce significant performance penalties for the demanding scientific computing workloads. In this work we present an evaluation of the usefulness of the current cloud computing services for scientific computing. We analyze the performance of the Amazon EC2 platform using micro-benchmarks and kernels. While clouds are still changing, our results indicate that the current cloud services need an order of magnitude in performance improvement to be useful to the scientific community.

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.

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.

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

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.

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.

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.

This paper proposes a case study to evaluate how the Cloud Computing (CC) is being adopted on colleges and universities in the state of Rio Grande do Norte (RN). As a result, the main favorable and unfavorable points to the adoption of the CC in the institutions were identified, which services and deployment models are suitable, what kind of CC services are already being used and the intended ones for the future, migration trends of CC services and knowledge of their IT managers in relation to CC. Full Paper PDF: http://www.contecsi.fea.usp.br/envio/11contecsi-files/papers/1024/submission/director/1024-2590-1-DR.pdf

Cloud computing services (CCS) offer many benefits which have improved their acceptance in the educational sector, especially, tertiary education. While it is true that the benefits of CCS include less worries about data loss, ease of accessibility and the ability to interact with data in real-time, there is no known study on how awareness of cloud computing services, perceived ease of use, computer self-efficacy, and intention to use CCS influence its actual use among postgraduate students in Nigeria. This study provides answers to four research questions and tests two research hypotheses. It adopts a descriptive survey design using a multistage sampling technique for data collection. Convenience sampling technique was used to select a sample size of 360 postgraduate students from the University of Ibadan, Nigeria. Descriptive statistics, Friedman mean rank, Spearman rank correlation and Multiple linear regression were used for analyses. The findings revealed that awareness of cloud computing services, perceived ease of use, and computer self-efficacy had significant relationships with the intention to use cloud computing services, and the intention to use cloud computing services had a significant influence on the actual use of cloud computing services among postgraduate students. The study recommends that university authorities should encourage courses that train students on the use of CCS, as well as course curricula to improve students’ computer self-efficacy and their use of cloud computing services. Keywords: Awareness, Cloud Computing, Self-Efficacy, Intention to Use, Perceived Ease of Use, Postgraduate students, Cloud Computing Services, University of Ibadan, Nigeria

Innovation capability has increasingly been searched by the ICT sector in cloud computing applications recently. This chapter describes the economic potentials of cloud computing and explores the characteristics of its usage among Hungarian enterprises. Although enterprises are aware of the basic concept of cloud computing, they have concerns about its application mainly due to data security issues and the lack of education. The chance of using cloud computing services is mainly facilitated by the creation of easier application and consultation would positively affect their usage. According to microenterprises and corporations, faster information flow and remote access are the key benefits of cloud usage. In the case of small-sized enterprises, the two main advantages are easier system recoverability and a higher level of mobility in case of a system breakdown. For the medium-sized enterprises, remote access and greater data security were the key benefits of using cloud computing services in 2014.

Recently, technology of cloud computing has been rapidly developed, and it is expected to apply for various network services. Virtual technology is a part of significant technology which has been contributed for the development of cloud computing. Various virtual technologies such as virtual OS and VDE become very important for server and network management in these days. Furthermore, such a virtual technology becomes possible to provide efficient resource management or QoS with virtual network configuration. Thus, it will be important for network construction to provide hardware and software service in near future. Autonomous network configuration in virtual layer is one of such a service. Not only network configuration is constructed in physical layer, but also it should be constructed in virtual layer for providing optimal resource and QoS management. In this paper, Overlay Cloud Computing Service is proposed, and it is consisted of virtual autonomous network configuration in cloud computing service including various server and network services. In our proposal methods, first of all, there are various kinds of user policy such as eco mode, high power mode, and secure mode. Then, virtual network and server configuration is automatically held in virtual layer with the mode setting and hardware configuration. Besides, with observation values of network and server condition, virtual configuration is changed optimally. In this optimal configuration changes, Kalman filter is used for the calculation of network and server condition. Then, with the results of calculation, virtual network topology is changed. In this paper, first, introduction and cloud computing service is discussed. Then, our proposed Overlay Cloud Computing Service by autonomous network configuration is introduced. In the chapter, optimal control method by Kalman filter with observed values is also introduced. Finally, conclusion and future study is discussed.

In this article, we describe the Virtual Computing Lab (VCL) with its main features and services. Also, we introduce the recent advances of the VCL system and its usage in research and education. The VCL is a cloud computing system that has been optimized for the educational services and research needs of the academic community. VCL is an open source cloud orchestration stack with a self-service portal that currently supports a large number of customers and commercial cloud, or cloud-related services and solutions. It was developed by NCSU with support from IBM Corporation. VCLs promise to support researchers and students in all academic levels to fulfill all their computing needs. In addition to supporting students and faculty members at NC State University and other UNC System universities, the NC VCL now also supports students at several NC community colleges. Also, we introduced cloud computing and service science related activities and achievements at Jordan University of Science and Technology.

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.

The issue of acquiring large amounts of data and creating large sets of digital data, and then processing and analyzing them (Big Data) for the needs of generating artificial intelligence (AI) solutions is one of the key challenges to the development of economy and national security. Data have become a resource that will determine the power and geopolitical and geoeconomic position of countries and regions in the 21st century.The layout of data storage and processing in distributed databases has changed in recent years. Since the appearance of hosting services in the range of ICT services, we are talking about a new type of ASP (Applications Service Providers) – provision of the ICT networks as part of an application). Cloud Computing is therefore one of the versions of the ASP services. The ASP guarantees the customer access to a dedicated application running on a server. Cloud Computing, on the other hand, gives the opportunity to use theresources of a shared infrastructure for many users simultaneously (Murphy n.d.). The use of the CC model is more effective in many aspects. Cloud Computing offers the opportunity to use three basic services: data storage in the cloud (cloud storage), applications in the cloud (cloud applications) and computing in the cloud (compute cloud). Website hosting and electronic mail are still the most frequently chosen services in Cloud Computing. The article attempts to explain the responsibility for content stored in the Cloud Computing.