Enterprise Cloud Research Articles

Migration of Services to the Cloud Environment: Challenges and Best Practices

Cloud computing is coming-up as a new generation business paradigm with significant potential to increase the agility and lower the costs. Business people are looking for better ways to migrate their existing applications to a cloud-based infrastructure to enjoy the immense cloud potential. However, the security risks, lack of mature technology and standards, and other concerns prevent widespread enterprise adoption of external clouds. Companies are developing a cloud computing strategy based on growing the cloud from inside-out. Still, many applications are not suitable for hosting at external clouds. Hence, migration of services to the external cloud becomes a major issue whenever there is a paradigm shift. There are many key Challenges of Enterprise Cloud Computing like Data Governance, Manageability, Monitoring, Reliability, Availability and Virtualization. Present work discusses the major challenges towards the migration of services in cloud environment, considering both the public as well hybrid clouds. In order to signify the challenges, both technical and business issues have been considered. The best practices by IT giants have also been highlighted, considering the present day business environment.

Enterprise cloud service architectures

As a new computing paradigm, cloud computing has received a lot of attention from enterprises and has being integrated or applied to enterprise architectures. This paper surveys the state of the art of enterprise cloud service architectures. Specifically, this paper discusses enterprise cloud service architectural requirements, design approaches, architectural styles, emerging cloud service platforms, applications and related challenges in an enterprise context. This paper also identifies research trends and opportunities for researchers and practitioners in this fast moving field.

An Enterprise Cloud Model for Optimizing IT Infrastructure

In cloud computing, end users are not required to buy software or devices as they are provided by service providers on a rental basis. Cloud Computing is the new IT platform as it promises dramatic reductions in cost and time-to-market due to pay-per-use and scalability. A large number of enterprises are shifting their computing from in-house infrastructure to the cloud infrastructure for optimize their infrastructure. The new-coming generation of employees and customers expect technological proficiency to be part of the customer-centered business models. On their turn, organizations need to apply new forms of cooperation with their employees, customers, suppliers and partners. As the enterprise business system surrounding Cloud Computing develops, it is critical to have a conception of how cloud services pulling, the diverse types of service offerings, and the way those services fit together. To overcome this problem we proposed a service selection layered method for cloud based enterprise. In this paper, we propose an approach to select or pull multiple cloud services from cloud market place for an Enterprise. Our approach provides best service selection process which will suit for an Enterprise’s requirement. This approach also improves governance for the service provider while offering maximum flexibility for the consumers. Our aim is to provide a better understanding of the cloud service selection challenges in a Enterprise cloud computing systems.

An Enterprise Mashup Integration Service Framework for Clouds

With an advent of gaining popularity in cloud computing, there is a huge demand in ad-hoc services by the end users. These ad-hoc services cannot fully be provided by a service provider; hence Cloud mashup is a solution for this requirement. Cloud mashup is technology where end users can integrate different services of cloud service providers and create their own customized ad-hoc services. This paper proposes an efficient enterprise cloud mashup framework which supports dynamic composition of services to create a new service to the end users. The proposed framework is composed of an adapter, widgets, widget library and a mashup constructor module. Even a non technical end user can easily generate their own customized service on a cloud platform. Experiments reveal that the proposed framework is an efficient enterprise with cloud mashup service integration framework.

기업의 클라우드 컴퓨팅 도입 의사결정에 영향을 미치는 요인에 관한 연구

Cloud computing is provided on demand service via the internet, allowing users to pay for the service they actually use. Since cloud computing is emerging stage in industry, many companies and government consider adopting the cloud computing. Actually a variety of factors may influence on the adopting decision making of cloud computing. The objective of this study is to explore the significant factors affecting the adoption decision of enterprise cloud computing. A research model has been suggested based on TOE framework and outsourcing decision framework. Based on 302 data collected from managers in various industries, the major findings are following. First, the benefit factors of cloud computing service such as agility and cost reduction have direct and positive effects on adoption of the service. Second, lock-in as a risk factor of cloud computing service has a negative effect while security has not. Third, both internal and external environment factors have positive effects on adoption of the service.

Technique of Constructing Cloud Computing Platform Based on Ubuntu Enterprise Cloud

Cloud computing is an effective approach for organizing computing resource and improving computing capability. In this paper, we designed and contstucted a private cloud computing platform based on ubuntu enterprise cloud. The cloud computing platform supports various clients dynamicly connet to cloud server and get cloud computing service via interface platform provided. Various kinds of virtual machine instance of different settings running on physical servers provide users computing and storage capability on demand. A series of high level functions guarantee computing service provision of platform.

Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises

Small, Medium, and Micro enterprises (SMMEs) usually do not have adequate funds to acquire ICT infrastructure and often use cloud computing. In this paper, the authors discuss the implementation of virtual enterprises (VE) to enable SMMEs to respond quickly to customers’ demands and market opportunities. The virtual enterprise model is based on the ability to create temporary co-operations and realize the value of a short term business opportunity that the partners cannot fully capture on their own. The model of virtual enterprise is made possible through virtualisation technology, which is a building block of cloud computing. To achieve a common goal, enterprises integrate resources, organisational models, and process models. Through the virtual business operating environment offered by cloud computing, the SMMEs are able to increase productivity and gain competitive advantage due to the cost benefit incurred. In this paper, the authors propose a virtual enterprise enabled cloud enterprise architecture based on the concept of virtual enterprise at both business and technology levels. The business level comprises of organisational models, process models, skills, and competences whereas the technology level comprises of IT resources.

A service‐oriented taxonomical spectrum, cloudy challenges and opportunities of cloud computing

SUMMARYCloud computing has emerged as a popular computing milieu that provides a range of delivering solutions for small to large enterprises with a flexible model that allows a computing power and storing space for the large volumetric data within minimum cost. These days, computational paradigm is shifting towards utility‐based pay‐as‐you‐go model and many discussion aside, but there remains no canonical definition of cloud computing yet. In this paper we have proposed a service‐oriented taxonomical spectrum of cloud computing, which is more focused on the service engineering perspective of cloud. Our argument behind cloud engineering is a layered structural approach ‘as a Service’ such as security as a service, fault tolerance as a service, architecture as a service. The main contribution of this paper is to identify a wide spectrum of taxonomy, aiming at a better understanding of functional as well as architectural components that could benefit from cloudification. We describe each sub‐taxonomy (architecture, core services, security, fault tolerance, management services etc.) in details. In addition, we present a comparative study of several cloud systems based on taxonomy. Moreover, it also identifies many challenges and opportunities that exist on the landscape of enterprise cloud. Copyright © 2011 John Wiley & Sons, Ltd.

Architectural Requirements for Cloud Computing Systems: An Enterprise Cloud Approach

Cloud Computing is a model of service delivery and access where dynamically scalable and virtualized resources are provided as a service over the Internet. This model creates a new horizon of opportunity for enterprises. It introduces new operating and business models that allow customers to pay for the resources they effectively use, instead of making heavy upfront investments. The biggest challenge in Cloud Computing is the lack of a de facto standard or single architectural method, which can meet the requirements of an enterprise cloud approach. In this paper, we explore the architectural features of Cloud Computing and classify them according to the requirements of end-users, enterprises that use the cloud as a platform, and cloud providers themselves. We show that several architectural features will play a major role in the adoption of the Cloud Computing paradigm as a mainstream commodity in the enterprise world. This paper also provides key guidelines to software architects and Cloud Computing application developers for creating future architectures.

Support for enterprise consolidation of I/O bound services

AbstractIn this article, we evaluate the performance effects of I/O bound workloads on a specific virtual machine, an important component of an enterprise cloud computing infrastructure. In particular, we demonstrate that (1) the I/O workload of one guest system may adversely affect the I/O performance of another for the XEN hypervisor and (2) the general I/O performance is degraded due to various overheads. Next, we have devised a light‐weight, complementary, backwards‐compatible alternative to hypervisor‐based virtualization techniques called BONSAI. Our software provides low‐overhead I/O performance isolation by transparently applying traffic shaping to system calls in a cost‐effective manner. Using this system, I/O resource consumption can be controlled at a very fine granularity. Furthermore, using video streaming experiments, where we limit the I/O bandwidth available to each service, we show that we are able to achieve the required level of resource isolation on a per process basis with only a negligible CPU overhead and without reducing the I/O performance. Copyright © 2010 John Wiley & Sons, Ltd.

Autonomic metered pricing for a utility computing service

An increasing number of providers are offering utility computing services which require users to pay only when they use them. Most of these providers currently charge users for metered usage based on fixed prices. In this paper, we analyze the pros and cons of charging fixed prices as compared to variable prices. In particular, charging fixed prices do not differentiate pricing based on different user requirements. Hence, we highlight the importance of deploying an autonomic pricing mechanism that self-adjusts pricing parameters to consider both application and service requirements of users. Performance results observed in the actual implementation of an enterprise Cloud show that the autonomic pricing mechanism is able to achieve higher revenue than various other common fixed and variable pricing mechanisms.

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

With the significant advances in Information and Communications Technology (ICT) over the last half century, there is an increasingly perceived vision that computing will one day be the 5th utility (after water, electricity, gas, and telephony). This computing utility, like all other four existing utilities, will provide the basic level of computing service that is considered essential to meet the everyday needs of the general community. To deliver this vision, a number of computing paradigms have been proposed, of which the latest one is known as Cloud computing. Hence, in this paper, we define Cloud computing and provide the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs). We also provide insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA)-oriented resource allocation. In addition, we reveal our early thoughts on interconnecting Clouds for dynamically creating global Cloud exchanges and markets. Then, we present some representative Cloud platforms, especially those developed in industries, along with our current work towards realizing market-oriented resource allocation of Clouds as realized in Aneka enterprise Cloud technology. Furthermore, we highlight the difference between High Performance Computing (HPC) workload and Internet-based services workload. We also describe a meta-negotiation infrastructure to establish global Cloud exchanges and markets, and illustrate a case study of harnessing ‘Storage Clouds’ for high performance content delivery. Finally, we conclude with the need for convergence of competing IT paradigms to deliver our 21st century vision.