Information technology service management models applied to medium and small organizations: A systematic literature review

(ANTECEDENT) The main responsibility of the Information Technology Service Management (ITSM) as an organization is to provide services in high level quality. That implies that the services will be an appropriate service and it will ensure continuity. In this context, the organization needs to adopt the best practices in service management to be more efficient and competitive. Some ITSM models collect the best practices of recognized organizations. These models are mainly applied by large organizations. (OBJECTIVE) The objective of this study is to gather experiences in the application of ITSM models in small organizations. (METHODS) To achieve this objective a systematic literature review was performed. (RESULTS) We found primary studies applied to IT areas from some large and medium companies but there is a few in small companies' context. (CONCLUSION) During the SLR we have identified some improvements and difficulties in many organizations, we have founded when applying ITSM models. The principal difficulty was the lack of knowledge of its personnel and consultants have, for adopting a model. On the other hand, companies who succeeded in the application of an ITSM model, had founded some benefits, such as processes improvement, higher user satisfaction, and service cost and time reduction.     

Performance optimization for cloud computing systems in the microservice era: state-of-the-art and research opportunities

With the demand of agile development and management, cloud applications today are moving towards a more fine-grained microservice paradigm, where smaller and simpler functioning parts are combined for providing end-to-end services. In recent years, we have witnessed many research efforts that strive to optimize the performance of cloud computing system in this new era. This paper provides an overview of existing works on recent system performance optimization techniques and classify them based on their design focuses. We also identify open issues and challenges in this important research direction.     

A survey on the service interoperability in cloud computing: Client-centric and provider-centric perspectives

The vendor lock-in is a prominent issue in cloud computing. It is caused by cloud providers who offer proprietary services, which hinders the cloud interoperability. Client-centric interoperability enables the migration of the data and applications across clouds; it gives the clients control over their workloads and a wider range of service choices. Whereas, provider-centric interoperability allows the providers to collaborate. Thus, providers, who have spare resources, can lend them to other providers who lack computational or storage capabilities to overcome the limitations of their local resources. In this article, we conduct a survey to differentiate between client- and provider-centric interoperability solutions. We aim to provide an up-to-date analysis of the current tendencies and the neglected areas of the cloud interoperability field. Thus, we study the cloud service interoperability evolution through the years. Furthermore, we propose definitions for the intra-cloud and inter-cloud interoperability. Moreover, we propose a taxonomy to classify the cloud interoperability approaches into client-centric and provider-centric categories. Then, for each category, we classify the approaches based on their interoperability environment into single cloud or interconnected clouds. Finally, we analyze and compare the approaches based on multiple criteria. The study reveals the focus on the client-centric solutions and the interoperability in interconnected clouds. We notice more interest in the data and application levels interoperability, mainly, in infrastructure as a service model. We also find that client-centric solutions are, mostly, semantic technologies and brokers. However, provider-centric solutions are middleware, protocols, and standards. We conclude that a generic cloud service interoperability model is needed.     

An intrusion detection and prevention system in cloud computing: A systematic review

The distributed and open structure of cloud computing and services becomes an attractive target for potential cyber-attacks by intruders. The traditional Intrusion Detection and Prevention Systems (IDPS) are largely inefficient to be deployed in cloud computing environments due to their openness and specific essence. This paper surveys, explores and informs researchers about the latest developed IDPSs and alarm management techniques by providing a comprehensive taxonomy and investigating possible solutions to detect and prevent intrusions in cloud computing systems. Considering the desired characteristics of IDPS and cloud computing systems, a list of germane requirements is identified and four concepts of autonomic computing self-management, ontology, risk management, and fuzzy theory are leveraged to satisfy these requirements.     

A semantic interoperability framework for software as a service systems in cloud computing environments

In cloud computing environments in software as a service (SaaS) level, interoperability refers to the ability of SaaS systems on one cloud provider to communicate with SaaS systems on another cloud provider. One of the most important barriers to the adoption of SaaS systems in cloud computing environments is interoperability. A common tactic for enabling interoperability is the use of an interoperability framework or model. During the past few years, in cloud SaaS level, various interoperability frameworks and models have been developed to provide interoperability between systems. The syntactic interoperability of SaaS systems have already been intensively researched. However, not enough consideration has been given to semantic interoperability issues. Achieving semantic interoperability is a challenge within the world of SaaS in cloud computing environments. Therefore, a semantic interoperability framework for SaaS systems in cloud computing environments is needed. We develop a semantic interoperability framework for cloud SaaS systems. The capabilities and value of service oriented architecture for semantic interoperability within cloud SaaS systems have been studied and demonstrated. This paper is accomplished through a number of steps (research methodology). It begins with a study on related works in the literature. Then, problem statement and research objectives are explained. In the next step, semantic interoperability requirements for SaaS systems in cloud computing environments that are needed to support are analyzed. The details of the proposed semantic interoperability framework for SaaS systems in cloud computing environments are presented. It includes the design of the proposed semantic interoperability framework. Finally, the evaluation methods of the semantic interoperability framework are elaborated. In order to evaluate the effectiveness of the proposed semantic interoperability framework for SaaS systems in cloud computing environments, extensive experimentation and statistical analysis have been performed. The experiments and statistical analysis specify that the proposed semantic interoperability framework for cloud SaaS systems is able to establish semantic interoperability between cloud SaaS systems in a more efficient way. It is concluded that using the proposed framework, there is a significant improvement in the effectiveness of semantic interoperability of SaaS systems in cloud computing environments.     

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021

Cloud computing is new technology that has considerably changed human life at different aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity shifted into cloud base. Cloud computing is a utility where different hardware and software resources are accessed on pay per user ground base. Most of these resources are available in virtualized form and virtual machine (VM) is one of the main elements of visualization.VM used in data center for distribution of resource and application according to benefactor demand. Cloud data center faces different issue in respect of performance and efficiency for improvement of these issues different approaches are used. Virtual machine play important role for improvement of data center performance therefore different approach are used for improvement of virtual machine efficiency (i-e) load balancing of resource and task. For the improvement of this section different parameter of VM improve like makespan, quality of service, energy, data accuracy and network utilization. Improvement of different parameter in VM directly improve the performance of cloud computing. Therefore, we conducting this review paper that we can discuss about various improvements that took place in VM from 2015 to 20,201. This review paper also contain information about various parameter of cloud computing and final section of paper present the role of machine learning algorithm in VM as well load balancing approach along with the future direction of VM in cloud data center.

     

A synergetic mechanism for digital library service in mobile and cloud computing environment

Digital library services in the mobile computing have come into our daily life with the development of wireless communication and the manufacture of mobile devices. Digital libraries have collected large-scaled data for providing information service. However, there are still many problems such as limitations of computing on mobile devices and data transmission problems in the wireless network. This paper proposes a synergetic mechanism for digital library to provide information service in the mobile and cloud computing environment, which combines the digital library servers, mobile hosts and personal cloud space into a synergetic work group seamlessly. The proposed mechanism integrates the strong computing and large-scaled storage ability of cloud computing together with the convenience of mobile computing. It could help promoting knowledge sharing and improve work efficiency of users in the mobile and cloud computing environment.     

Parallel computing in bioinformatics: a view from high-performance,heterogeneous, and cloud computing

The Journal of Supercomputing - Bioinformatics allows and encourages the application of many different parallel computing approaches. This special issue brings together high-quality...     

云计算环境下基于时间和可靠性的调度策略

云计算中,调度策略对于用户任务的运行和服务提供方均有很大的影响,直接影响到云平台的运行效果。针对传统任务调度算法难以适用于云计算环境这一问题进行了研究,采用由星型结构演化而成的多代理模型,首先给出多代理模型的体系结构,然后针对多代理系统,提出了基于服务时间和可靠性为优化目标的任务调度策略,并采用模拟退火算法进行求解。最后进行了仿真实验,实验结果表明我们的调度策略是高效的。     

Data storage auditing service in cloud computing: challenges,methods and opportunities

Cloud computing is a promising computing model that enables convenient and on-demand network access to a shared pool of configurable computing resources. The first offered cloud service is moving data into the cloud: data owners let cloud service providers host their data on cloud servers and data consumers can access the data from the cloud servers. This new paradigm of data storage service also introduces new security challenges, because data owners and data servers have different identities and different business interests. Therefore, an independent auditing service is required to make sure that the data is correctly hosted in the Cloud. In this paper, we investigate this kind of problem and give an extensive survey of storage auditing methods in the literature. First, we give a set of requirements of the auditing protocol for data storage in cloud computing. Then, we introduce some existing auditing schemes and analyze them in terms of security and performance. Finally, some challenging issues are introduced in the design of efficient auditing protocol for data storage in cloud computing.     

云计算中基于SLA的服务可信协商与访问控制策略

针对当前云计算中因服务提供者(SP)的信任保障机制缺失而容易被不可信服务消费者(SC)滥用的现象,提出面向SC实体的服务可信协商及访问控制策略.该策略首先依据系统信任规则来表达服务实体的可信程度,然后通过求解SC实体的直接和间接信任推理空间建立信任证据的举证方法,同时采用服务级别协议(service level agreements,SLA)构建交互双方的协商机制,最后综合信任传递与迭代计算策略,确定服务交互的SLA等级,提供相应级别的服务,从而达到访问控制的目的.理论分析与实验结果表明,该方法虽少量增加了协商的次数,但能较好解决服务被滥用以及利用率不高的问题,为云计算环境下信任协商研究提供一种有效的新方法.     

Virtualization layer security challenges and intrusion detection/prevention systems in cloud computing: a comprehensive review

Virtualization plays a vital role in the construction of cloud computing. However, various vulnerabilities are existing in current virtualization implementations, and thus there are various security challenges at virtualization layer. In this paper, we investigate different vulnerabilities and attacks at virtualization layer of cloud computing. We examine the proposals of cloud intrusion detection system (IDS) and intrusion detection and prevention system frameworks. We recommend the cloud IDS requirements and research scope to achieve desired level of security at virtualization layer of cloud computing.     

Software process improvement in small and medium software enterprises: a systematic review

Small and medium enterprises are a very important cog in the gears of the world economy. The software industry in most countries is composed of an industrial scheme that is made up mainly of small and medium software enterprises—SMEs. To strengthen these types of organizations, efficient Software Engineering practices are needed—practices which have been adapted to their size and type of business. Over the last two decades, the Software Engineering community has expressed special interest in software process improvement (SPI) in an effort to increase software product quality, as well as the productivity of software development. However, there is a widespread tendency to make a point of stressing that the success of SPI is only possible for large companies. In this article, a systematic review of published case studies on the SPI efforts carried out in SMEs is presented. Its objective is to analyse the existing approaches towards SPI which focus on SMEs and which report a case study carried out in industry. A further objective is that of discussing the significant issues related to this area of knowledge, and to provide an up-to-date state of the art, from which innovative research activities can be thought of and planned.

Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach

Cloud computing is an innovative information technology that has been applied to education and has facilitated the development of cloud computing classrooms; however, student behavioral intention (BI) toward cloud computing remains unclear. Most researchers have evaluated, integrated, or compared only few theories to examine user BI. In this study, we tested, compared, and unified six well-known theories, namely service quality (SQ), self-efficacy (SE), the motivational model (MM), the technology acceptance model (TAM), the theory of reasoned action or theory of planned behavior (TRA/TPB), and innovation diffusion theory (IDT), in the context of cloud computing classrooms. This empirical study was conducted using an online survey. The data collected from the samples (n = 478) were analyzed using structural equation modeling. We independently analyzed each theory, by formulating a united model. The analysis yielded three valuable findings. First, all six theoretical models and the united model exhibited adequate explanatory power. Second, variance explanation, Chi-squared statistics, effect size, and predictive relevance results revealed the ranking importance of the theoretical models. Third, the united model provided a comprehensive understanding of the factors that significantly affect the college students’ BI toward a cloud computing classroom. The discussions and implications of this study are critical for researchers and practitioners.     

Decision-making in cloud computing environments: A cost and risk based approach

In this article a sophisticated formal mathematical decision model is developed that supports the selection of Cloud Computing services in a multisourcing scenario. The objective is to determine the selection of appropriate Cloud Computing services offered by different providers. In order to do so, we consider cost as well as risk factors which are relevant to the decision scope. For example, coordination costs, IT service costs, maintenance costs and the costs of taken risks were compared. Risks are modeled by means of the three common security objectives integrity, confidentiality and availability. The managerial implications of the model lie in the sustainable decision support and the comprehensive decision approach. The formal model is prototypically implemented using a software tool and examined with the help of a simulation study in three realistic scenarios and a sensitivity analysis.     

Data center network architecture in cloud computing： review,taxonomy, and open research issues＊

The data center network （DCN）, which is an important component of data centers, consists of a large number of hosted servers and switches connected with high speed communication links. A DCN enables thc deployment of resources centralization and on-demand access of the information and services of data centers to users. In recent years, the scale of the DCN has constantly increased with the widespread use of cloud-based services and the unprecedented amount of data delivery in/between data centers, whereas the traditional DCN architecture lacks aggregate bandwidth, scalability, and cost effectiveness for coping with the increasing demands of tenants in accessing the services of cloud data centers. Therefore, the design of a novel DCN architecture with the features of scalability, low cost, robustness, and energy conservation is required. This paper reviews the recent research findings and technologies of DCN architectures to identify the issues in the existing DCN architectures for cloud computing. We develop a taxonomy for the classification of the current DCN architectures, and also qualitatively analyze the traditional and contemporary DCN architectures. Moreover, the DCN architectures are compared on the basis of the significant characteristics, such as bandwidth, fault tolerance, scalability, overhead, and deployment cost. Finally, we put forward open research issues in the deployment of scalable, low-cost, robust, and energy-efficient DCN architecture, for data centers in computational clouds.     

Modeling the impact of service innovation for small and medium enterprises: A system dynamics approach

Small and medium-sized enterprises have played an important role in Taiwan's economic development. As the importance of service grows, SMEs could undergo transformation via service innovation. SMEs are likely to encounter within the context of globalization and tried to identify the key factors influencing service innovation. Resource-based theory was used to construct system dynamics models for the SMEs prior to and after service innovation in order to develop a set of evaluation mechanisms. Simulation results showed that SMEs face operational difficulties due to globalization. Thus, SMEs should invest appropriate resources to develop market adaptability, knowledge application capability, collaboration abilities, and the effective application of information technology. This will enhance the overall service innovation capability of the business, which could then establish a new service value and increase market competitiveness.     

Review:Data center network architecture in cloud computing:review,taxonomy, and open research issues

The data center network(DCN), which is an important component of data centers, consists of a large number of hosted servers and switches connected with high speed communication links. A DCN enables the deployment of resources centralization and on-demand access of the information and services of data centers to users. In recent years, the scale of the DCN has constantly increased with the widespread use of cloud-based services and the unprecedented amount of data delivery in/between data centers, whereas the traditional DCN architecture lacks aggregate bandwidth, scalability, and cost effectiveness for coping with the increasing demands of tenants in accessing the services of cloud data centers. Therefore, the design of a novel DCN architecture with the features of scalability, low cost, robustness, and energy conservation is required. This paper reviews the recent research findings and technologies of DCN architectures to identify the issues in the existing DCN architectures for cloud computing. We develop a taxonomy for the classification of the current DCN architectures, and also qualitatively analyze the traditional and contemporary DCN architectures. Moreover, the DCN architectures are compared on the basis of the significant characteristics, such as bandwidth, fault tolerance, scalability, overhead, and deployment cost. Finally, we put forward open research issues in the deployment of scalable, low-cost, robust, and energy-efficient DCN architecture, for data centers in computational clouds.     

Measuring ERP success: The key-users’ viewpoint of the ERP to produce a viable IS in the organization

Enterprise resource planning (ERP) systems are becoming mature technologies to support inter- and intra-company business processes even in small and medium enterprises. However, ERP systems are complex and expensive, and the decision to install an ERP system necessitates a choice of mechanisms for determining whether the ERP is needed, and once implemented, whether it is successful. User satisfaction is one evaluation mechanism for determining system success. This study looked at key-user satisfaction as a means of determining system success.