Cloud Computing Service Model Research Articles

Cloud Computing as an Enabler of Agile Global Software Development

Agile global software development (AGSD) is an increasingly prevalent software development strategy, as organizations hope to realize the benefits of accessing a larger resource pool of skilled labor, at a potentially reduced cost, while at the same time delivering value incrementally and iteratively. However, the distributed nature of AGSD creates geographic, temporal, socio-cultural distances that challenge collaboration between project stakeholders. The Cloud Computing (CC) service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are similar to the aspirant qualities of AGSD as they provide services that are globally accessible, efficient, and stable, with lower predictable operating costs that scale to meet the computational demand. This study focused on the 12 agile principles upon which all agile methodologies are based, therein potentially increasing the potential for the findings to be generalized. Domestication Theory was used to assist in understanding how cloud technologies were appropriated in support of AGSD. The research strategy took the form of case study research. The findings suggest that some of the challenges in applying the agile principles in AGSD may be overcome by using CC.

Energy aware virtual network embedding with dynamic demands: Online and offline

In Network as a Service model in cloud computing, how to efficiently embed virtual networks with both node and link demands into a shared physical network, namely virtual network embedding, has attracted significant attention. Most of prior studies on this problem have the following two limitations: (i) they assumed that the virtual network demands are constants, which does not hold in real-world network since such demands may vary a lot over time; (ii) their primary goal was to achieve more revenues for the physical network, with no consideration of the energy cost, which has become a more and more critical issue. In this paper, we bridge the gaps and study the energy aware virtual network embedding problem with dynamic demands. Specifically, we first model the dynamics of virtual network demands as a combination of a Gaussian distribution and a daily diurnal pattern. We then design two efficient heuristic algorithms by leveraging the dynamic characteristic of virtual network demands to minimize the energy consumption while keeping a high revenue for the physical network. One algorithm processes the virtual network requests one by one while the other one processes them group by group. We implemented these two algorithms in C++ and performed side-by-side comparisons with the prior algorithm. Extensive simulations show that our algorithms significantly reduce the energy cost by up to 25% over the state-of-the-art algorithm, while maintaining near the same revenue.

A Study Paper on Security Related Issue Before Adopting Cloud Computing Service Model

Cloud computing is becoming increasingly fashionable in distributed computing environment. Processing and Data storage use cloud environment is becoming a movement universal. Software as a Service (SaaS) has on many business applications as well as in our day to day life, we can simply say that this disruptive technology. Cloud computing can be seen since Internetbased computing, in which shared resources, software, and information are made available to devices on demand. It allows resources towards leveraged on per-use basis. It diminishes cost and complexity of service providers by means of assets and operational costs. It allows users to access applications tenuously. On behalf of user, this construct directs cloud service provider to feel software updates and cost of servers etc. For both, cloud providers and consumers; availability, integrity, authenticity, confidentiality, and privacy are important concern. Infrastructure as a Service (IaaS) serves as base layer for many other release models and Platform-as-a-Service (PaaS) clouds. Security of PaaS clouds is considered from multiple perspective including access control, service continuity and privacy while protecting together the service provider and the user. Security problems of PaaS clouds are explored and classified. In this paper we are going to some major security issues of current cloud computing environments.

Research on the Applications of Cloud Computing in the Accounting Modernization

Cloud computing is a new concept emerged in the IT sector in recent years. Cloud computing can be used more easily and quickly in financial applications, adjusting resource being used by accounting software dynamically, reducing overall investment in accounting modernization, improving the utilization and the effect of IT equipment. In this paper, starting from the concept of cloud computing, we summarizes the status of development of accounting modernization, and discusses the cloud computing service model, the applications of cloud computing in the accounting modernization as well as the advantages and problems.

Flexible Pricing Models for Cloud Services

Cloud Computing's service models IaaS and PaaS have a number of proprietary pricing models as the services has been commoditized to some extent. The SaaS so far has been known with a flat price within the usage time. But pricing models need to be more flexible to prevent customers from thinking that paying same price for a service over a period is no more cost effective, in spite of the level of utilization of the service. For Cloud Computing this has to be taken into account. Africans are not used to fixed price models in their business transactions. In order to expand the acceptability of Cloud Computing to African a means of disputing prices is necessary. This study proposes cloud utility price models to give the Cloud customer the luxury of different usage style and determine a customer specific, individual, most suitable price model. It gives the customer the opportunity to choose a price model for the predicted usage and work within the budget. The proposed cloud utility price models presented using use cases.

About Cloud Computing Research and Countermeasure of Derivative Accounting Problems

Cloud computing mode under Internet environment construction is a new financial management information construction mode,The accounting issues of cloud computing based on derivative, through the research of cloud computing in the cloud computing platform, safety precautions in the cloud era, measurement and the ratio of income and cost of cloud cloud in cloud business model and how to make accounting voucher valid etc.To provide advice for the enterprise Accounting information construction of our country implementation of cloud computing service model, provides the countermeasure for cloud security issues, so that enterprises can better meet the arrival of the era of cloud.

The Research of Cloud Computing Service Model

Cloud computing is developing rapidly in recent years. Everyone is talking about cloud computing that provide large scale service to replace computers and software. Cloud computing has already become the development trend of present IT circles. This paper explains the basics of Cloud computing, analyzes the difference of cloud computing services, and points out the characteristics of the cloud computing services.

Design and Implementation of a Prototype Cloud Video Surveillance System

Cloud-based video surveillance systems, as a new cloud computing service model, are an emerging research topic, both at home and abroad. Current research is mainly focused on exploring applications of the system. This paper proposes a design and implementation method for cloud-based video surveillance systems using the characteristics of cloud computing, such as parallel computing, large storage space, and easy expandability. The system architecture and function modules are built, and a prototype cloud-based video surveillance system is established in a campus network using key technologies, including virtual machine task access control, video-data distributed storage, and database-active communicationmethods. Using the system, the user is able to place a webcam in a location that requires monitoring so that video surveillance can be achieved, and video data can be viewed through a browser. The system has the following advantages: low investment and maintenance cost, high portability, easily extendable, superior data security, and excellent sharing. As a private cloud server in the campus network, the system is able to not only provide convenient video surveillance services, but it can also be an excellent practical experimental platform for cloud computing-related research, which carries outstanding application value.

SAaaS: a cloud computing service model using semantic‐based agent

AbstractCloud computing, a common business model, provides cloud resources on demand to consumers over the Internet. However, because cloud computing lacks a uniform method of representing knowledge, which can offer customers a comprehensive solution for managing and developing cloud applications, cloud computing has low reuse potential. This work proposes a Semantic Agent as a Service (SAaaS), which was developed using Unified Modeling Language modelling. The SAaaS architecture is based on research into Cloud Computing, Semantic Web and Multi‐Agent Systems. The architecture can be combined with existing cloud service models, such as Software as a Service, Platform as a Service and Infrastructure as a Service, to design intelligent cloud computing applications. To demonstrate the efficacy of SAaaS, a Semantic‐based Project Resources Sharing Platform, an intelligent cloud computing application based on the SAaaS framework, is implemented to provide project resources on demand, consistent with the needs of project members.

Analyze the Future: Cloud Computing, a New Phase in Information Technology Infrastructure Management

The use of cloud computing is becoming widespread, but systematic study of its managerial implications is lacking. This paper examines cloud computing in the context of other major changes in Information Technology (IT) and explores the revolutionary transformations and challenges which bring to IT management. Cloud computing has a high reliability, low cost and good availability. With the increasing use of technology in modern era, there is a growing requirement of information technology infrastructure management. Over some decades in the past, organizations have put their efforts in the development and application of information technology to collect, analyze and process the data. Various computing paradigms have been employed for the purpose and needs have emerged for enormous infrastructure.Cloud Computing is evolving as a key computing platform for sharing resources that include infrastructure, software application and business processes. Virtualization is a core technology for enabling cloud resources sharing (Liang et al. 2009). Virtualization refers to the abstracting of a form of technology away from its original environment. The benefit derives from being able to redeliver it in a virtual (or “logical”) form capable of the same functionality as the original, but with greater flexibility (Tata Communication White Paper 2012). This paper presents how Cloud Computing service model – Infrastructure as a Service (IaaS) can be used to meet the increasing demands of the Information Technology Infrastructure Management and how Cloud Computing paradigm can prove to be future solution for such systems. With IaaS, IT services can be delivered as a subscription service, eliminating up-front costs and driving down ongoing support costs.

The Trend and Challenges of Cloud Computing: A Literature Review

One of the most significant innovation in the Information Technology (IT) industry after the introduction of the personal computer and the internet is Cloud computing. The shift to cloud is a landmark in the IT industry and has raised keen interest both from the industrial community and academia. It is a new virtualization model for the quick provisioning of shared resources, software, applications and services over the internet to fulfill the elastic demand of the customer with minimum effort or interaction with the service provider. Thus cloud computing has become an interesting and increasingly essential trend. This paper presents a detailed review of Cloud Computing. It includes a discussion of the main service model of cloud computing, the general deployment models, the characteristics of Cloud computing and terminologies adopted in cloud computing. The paper also presents the trend of cloud computing and its challenges.

Medical Applications and Healthcare Based on Cloud Computing

Cloud computing supports mobile and collaborative applications and services. Increased storage, high automation, flexibility, and reduced cost are a few advantages cloud computing offers. Using cloud computing can improve healthcare services delivery for patients. In this paper, the categories and service models of cloud computing, its technology intelligence, diverse applications in medical services and healthcare, and biometrics-based authentication for information security were presented. Issues related to privacy, security, barriers to applications, and compliance with acts in healthcare were also presented.

The Trend and Challenges of Cloud Computing: A Literature Review

One of the most significant innovation in the Information Technology (IT) industry after the introduction of the personal computer and the internet is Cloud computing. The shift to cloud is a landmark in the IT industry and has raised keen interest both from the industrial community and academia. It is a new virtualization model for the quick provisioning of shared resources, software, applications and services over the internet to fulfill the elastic demand of the customer with minimum effort or interaction with the service provider. Thus cloud computing has become an interesting and increasingly essential trend. This paper presents a detailed review of Cloud Computing. It includes a discussion of the main service model of cloud computing, the general deployment models, the characteristics of Cloud computing and terminologies adopted in cloud computing. The paper also presents the trend of cloud computing and its challenges. DOI: 10.5901/ajis.2013.v2n10p9

Mobile cloud computing service models: a user-centric approach

Mobile devices are rapidly becoming the major service participants nowadays. However, traditional client-server based mobile service models are not able to meet the increasing demands from mobile users in terms of services diversity, user experience, security and privacy, and so on. Cloud computing enables mobile devices to offload complex operations of mobile applications, which are infeasible on mobile devices alone. In this article, we provide a comprehensive study to lay out existing mobile cloud computing service models and key achievements, and present a new user-centric mobile cloud computing service model to advance existing mobile cloud computing research.

Securing Software as a Service Model of Cloud Computing: Issues and Solutions

Cloud computing, undoubtedly, has become the buzzword in the IT industry today. Looking at the potential impact it has on numerous business applications as well as in our everyday life, it can certainly be said that this disruptive technology is here to stay. Many of the features that make cloud computing attractive, have not just challenged the existing security system, but have also revealed new security issues. This paper provides an insightful analysis of the existing status on cloud computing security issues based on a detailed survey carried by the author. It also makes an attempt to describe the security challenges in Software as a Service (SaaS) model of cloud computing and also endeavors to provide future security research directions.

A Unified Framework of the Cloud Computing Service Model

After a comprehensive literature review and analysis, a unified cloud computing framework is proposed, which comprises MapReduce, a vertual machine, Hadoop distributed file system (HDFS), Hbase, Hadoop, and virtualization. This study also compares Microsoft, Trend Micro, and the proposed unified cloud computing architecture to show that the proposed unified framework of the cloud computing service model is comprehensive and appropriate for the current complexities of businesses. The findings of this study can contribute to the knowledge for academics and practitioners to understand, assess, and analyze a cloud computing service application.

Application of private cloud in hospital information systems

Private cloud is an internal cloud featuring multi-tenant,dynamic configuration and optimization infrastructure,which enables developers to achieve service self-deployment and self-hosting within security coverage of the enterprise data center.This paper introduced the concept of cloud computing.Then it went on to present the private cloud architecture of the hospital by analysis of problems in the hospital including information construction costs,management and maintenance,and information expansion.In the end,the authors analyzed the cloud computing service model,hospital private cloud architecture,along with outcome analysis for hospital private cloud implementations. Key words: Private cloud; Hospital information; Virtualization

A Scheduling algorithm for Multi-Tenants Instance- Intensive Workflows

As a key service model in cloud computing, SaaS applications are becoming increasingly popular. Multi-tenancy is a key characteristics of SaaS applications. Business processes play a key role in SaaS applications because of the composability and reusability of software services. This paper focuses on multi-tenants instance-intensive workflows system, in which workflows have a large number of instances belonging to multiple tenants in a SaaS environment, and further proposes a scheduling algorithm for multi- tenants workflow instances. This algorithm improves the quality of service (QoS) for tenants and saves the execution cost of workflows. The simulation results demonstrate that the proposed algorithm guarantees the workflow execution conforming to the deadline set by tenants, and reduces the mean execution time for tenants in high priority whilst saves the execution cost for service providers.

Personalized cloud-based bioinformatics services for research and education: use cases and the elasticHPC package

BackgroundBioinformatics services have been traditionally provided in the form of a web-server that is hosted at institutional infrastructure and serves multiple users. This model, however, is not flexible enough to cope with the increasing number of users, increasing data size, and new requirements in terms of speed and availability of service. The advent of cloud computing suggests a new service model that provides an efficient solution to these problems, based on the concepts of "resources-on-demand" and "pay-as-you-go". However, cloud computing has not yet been introduced within bioinformatics servers due to the lack of usage scenarios and software layers that address the requirements of the bioinformatics domain.ResultsIn this paper, we provide different use case scenarios for providing cloud computing based services, considering both the technical and financial aspects of the cloud computing service model. These scenarios are for individual users seeking computational power as well as bioinformatics service providers aiming at provision of personalized bioinformatics services to their users. We also present elasticHPC, a software package and a library that facilitates the use of high performance cloud computing resources in general and the implementation of the suggested bioinformatics scenarios in particular. Concrete examples that demonstrate the suggested use case scenarios with whole bioinformatics servers and major sequence analysis tools like BLAST are presented. Experimental results with large datasets are also included to show the advantages of the cloud model.ConclusionsOur use case scenarios and the elasticHPC package are steps towards the provision of cloud based bioinformatics services, which would help in overcoming the data challenge of recent biological research. All resources related to elasticHPC and its web-interface are available at http://www.elasticHPC.org.

SNUAGE: an efficient platform-as-a-service security framework for the cloud

In this paper we present SNUAGE, a platform-as-a-service security framework for building secure and scalable multi-layered services based on the cloud computing model. SNUAGE ensures the authenticity, integrity, and confidentiality of data communication over the network links by creating a set of security associations between the data-bound components on the presentation layer and their respective data sources on the data persistence layer. SNUAGE encapsulates the security procedures, policies, and mechanisms in these security associations at the service development stage to form a collection of isolated and protected security domains. The secure communication among the entities in one security domain is governed and controlled by a standalone security processor and policy attached to this domain. This results into: (1) a safer data delivery mechanism that prevents security vulnerabilities in one domain from spreading to the other domains and controls the inter-domain information flow to protect the privacy of network data, (2) a reusable security framework that can be employed in existing platform-as-a-service environments and across diverse cloud computing service models, and (3) an increase in productivity and delivery of reliable and secure cloud computing services supported by a transparent programming model that relieves application developers from the intricate details of security programming. Last but not least, SNUAGE contributes to a major enhancement in the energy consumption and performance of supported cloud services by providing a suitable execution container in its protected security domains for a wide suite of energy- and performance-efficient cryptographic constructs such as those adopted by policy-driven and content-based security protocols. An energy analysis of the system shows, via real energy measurements, major savings in energy consumption on the consumer devices as well as on the cloud servers. Moreover, a sample implementation of the presented security framework is developed using Java and deployed and tested in a real cloud computing infrastructure using the Google App Engine service platform. Performance benchmarks show that the proposed framework provides a significant throughput enhancement compared to traditional network security protocols such as the Secure Sockets Layer and the Transport Layer Security protocols.