A QoS Assurance Middleware Model for Enterprise Cloud Computing

Lee, Shou-Yu; Tang, Dongyang; Chen, Tingchao; Chu, William Cheng‐Chung

doi:10.1109/compsacw.2012.65

Cited by 14 publications

(3 citation statements)

References 12 publications

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“…In [10], the authors proposed a middleware for enterprise cloud computing architectures, which can automatically manage the resource allocation of services, platforms, and infrastructures. The middleware API set used in their cloud is built around servicing specific entities using the cloud resources.…”

Section: Related Workmentioning

confidence: 99%

Designing a Middleware API for Building Private IaaS Cloud Architectures

Loewen

Galloway

Vrbsky

2013

2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops

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One of the core components in building a cloud infrastructure is the development of a middleware solution, which allows for ease in resource management. Middleware solutions for IaaS cloud architectures are responsible for managing the instantiation of virtual machine images, constructing persistent storage volumes, providing node-to-node message passing for metadata retrieval, and more. Our reasoning for developing a new cloud middleware API is to address issues that we have encountered in current cloud middleware solutions, which are centered upon ease of deployment and ease interfacing with the system. In this paper we present a cloud middleware API that we have developed to be used in building a private IaaS cloud architecture, and we compare our implementation with that of open source general purpose IaaS cloud architectures currently available.

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Section: Related Workmentioning

confidence: 99%

Designing a Middleware API for Building Private IaaS Cloud Architectures

Loewen

Galloway

Vrbsky

2013

2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops

View full text Add to dashboard Cite

show abstract

“…Although its focus is specifically targeted towards multimedia applications (online games, theater videostreaming) its findings can be transferred to other sectors (business, telemedicine, automotive, etc.) for the provision of remote services [50]. However, the results of these works are especially dependent mostly on execution context and communication conditions.…”

Section: Related Workmentioning

confidence: 99%

Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm

Mora

Gil

Lopez

et al. 2015

Mobile Information Systems

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The development of applications as well as the services for mobile systems faces a varied range of devices with very heterogeneous capabilities whose response times are difficult to predict. The research described in this work aims to respond to this issue by developing a computational model that formalizes the problem and that defines adjusting computing methods. The described proposal combines imprecise computing strategies with cloud computing paradigms in order to provide flexible implementation frameworks for embedded or mobile devices. As a result, the imprecise computation scheduling method on the workload of the embedded system is the solution to move computing to the cloud according to the priority and response time of the tasks to be executed and hereby be able to meet productivity and quality of desired services. A technique to estimate network delays and to schedule more accurately tasks is illustrated in this paper. An application example in which this technique is experimented in running contexts with heterogeneous work loading for checking the validity of the proposed model is described.

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“…In [15], the authors propose a middleware for enterprise cloud computing architectures that can automatically manage the resource allocation of services, platforms, and infrastructures. The middleware API set used in their cloud is built around servicing specific entities using the cloud resources.…”

Section: Other Workmentioning

confidence: 99%

THUNDER: helping underfunded NPO’s distribute electronic resources

Loewen

Galloway

Robinson

et al. 2013

Journal of Cloud Computing: Advances, Systems and Applications

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As federal funding in many public non-profit organizations (NPO's) seems to be dwindling, it is of the utmost importance that efforts are focused on reducing operating costs of needy organizations, such as public schools. Our approach for reducing organizational costs is through the combined benefits of a high performance cloud architecture and low-power, thin-client devices. However, general-purpose private cloud architectures are not easily deployable by average users, or even those with some computing knowledge. For this reason, we propose a new vertical cloud architecture, which is focused on ease of deployment and management, as well as providing organizations with cost-efficient virtualization and storage, and other organization-specific utilities. We postulate that if organizations are provided with on-demand access to electronic resources in a way that is cost-efficient, then the operating costs may be reduced, such that the user experience and organizational efficiency may be increased. In this paper we discuss our private vertical cloud architecture called THUNDER. Additionally, we introduce a number of methodologies that could enable needy non-profit organizations to decrease costs and also provide many additional benefits for the users. Specifically, this paper introduces our current implementation of THUNDER, details about the architecture, and the software system that we have designed to specifically target the needs of underfunded organizations.

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A QoS Assurance Middleware Model for Enterprise Cloud Computing

Cited by 14 publications

References 12 publications

Designing a Middleware API for Building Private IaaS Cloud Architectures

Designing a Middleware API for Building Private IaaS Cloud Architectures

Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm

THUNDER: helping underfunded NPO’s distribute electronic resources

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