An Architecture for Federated Cloud Computing

Rochwerger, Benny; Vázquez, Constantino; Breitgand, David; Hadas, David; Villari, Massimo; Massonet, Philippe; Levy, Eliezer; Galis, Alex; Llorente, Ignacio; Montero, Rubén; Wolfsthal, Yaron; Nagin, Kenneth; Larsson, Lars; Galán, Fermín

doi:10.1002/9780470940105.ch15

Cited by 29 publications

(28 citation statements)

References 4 publications

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“…The first set of research efforts focus on the architecture and the system model for enabling and deploying federated clouds and the second class of existing works optimize the performance of federated cloud through efficient job scheduling, task migration and resource allocation. Rochwerger et al [4] proposed an architecture which is called RESERVOIR to enable cloud providers to deal with each other in a P2P manner. Buyya et al [5] proposed a centralized architecture named InterCloud which provides a market for the CSPs or cloud brokers to share their resources.…”

Section: B Experimental Resultsmentioning

confidence: 99%

Cost-Aware Resource Management for Federated Clouds Using Resource Sharing Contracts

Palanisamy

2017

2017 IEEE 10th International Conference on Cloud Computing (CLOUD)

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Abstract-Cloud computing and its pay-as-you-go model continue to provide significant cost benefits and a seamless service delivery model for cloud consumers. The evolution of small-scale and large-scale geo-distributed datacenters operated and managed by individual cloud service providers raises new challenges in terms of effective global resource sharing and management of autonomously-controlled individual datacenter resources. Earlier solutions for geo-distributed clouds have focused primarily on achieving global efficiency in resource sharing that results in significant inefficiencies in local resource allocation for individual datacenters leading to unfairness in revenue and profit earned. In this paper, we propose a new contracts-based resource sharing model for federated geo-distributed clouds that allows cloud service providers to establish resource sharing contracts with individual datacenters apriori for defined time intervals during a 24 hour time period. Based on the established contracts, individual cloud service providers employ a cost-aware job scheduling and provisioning algorithm that enables tasks to complete and meet their response time requirements. The proposed techniques are evaluated through extensive experiments using realistic workloads and the results demonstrate the effectiveness, scalability and resource sharing efficiency of the proposed model.

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Section: B Experimental Resultsmentioning

confidence: 99%

Cost-Aware Resource Management for Federated Clouds Using Resource Sharing Contracts

Palanisamy

2017

2017 IEEE 10th International Conference on Cloud Computing (CLOUD)

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“…• Scalability and high resource availability [39], [40] • Avoiding vender lock-in [41] • Geographic distribution and low-latency access [42] • Cost efficiency and saving energy [41] Armbrust et al mentioned that cloud computing refers to both the applications delivered as services over the Internet as well as the hardware and systems software in the data centers that provide such services [41]. In this definition, the data center hardware and software are called a cloud, and their services are generally provided for profit.…”

Section: Taxonomy Of Cloud-based Contents Sharing System Modelsmentioning

confidence: 99%

Survey of Cloud-Based Content Sharing Research: Taxonomy of System Models and Case Examples

Sugawara

2017

IEICE Trans. Commun.

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SUMMARY This paper illustrates various content sharing systems that take advantage of cloud's storage and computational resources as well as their supporting conventional technologies. First, basic technology concepts supporting cloud-based systems from a client-server to cloud computing as well as their relationships and functional linkages are shown. Second, the taxonomy of cloud-based system models from the aspect of multiple clouds' interoperability is explained. Interoperability can be categorized into provider-centric and client-centric scenarios. Each can be further divided into federated clouds, hybrid clouds, multi-clouds and aggregated service by broker. Third, practical cloud-based systems related to contents sharing are reported and their characteristics are discussed. Finally, future direction of cloud-based content sharing is suggested. key words : content sharing, client-server, shared storage, peer-to-peer, grid computing, cloud computing, object storage, interoperability, federated cloud, hybrid cloud, multi-cloud, aggregated service by broker, provider centric, client centric IntroductionDue to rapid advances of computers, communication devices, and communication networks, diverse and vast amounts of digital contents are exchanged over the Internet, enabling numerous users to enjoy the benefits of technology. To realize smooth and stress-free content provisioning, searching and retrieving, numerous content sharing systems and supporting technologies have been developed and implemented. Currently, cloud computing systems for content sharing, such as exchanging text messages, documents, photos, voice, music, and videos, are important in our daily life, and many interesting systems have been implemented over the Internet.According to an Internet traffic forecast issued by Cisco [1], global IP traffic in 2015 stands at 72.5 exabytes (EB) per month and will nearly triple by 2020, to reach 194.4 EB per month. On the other hand, the percentage of Content Delivery Network (CDN) traffic in global IP traffic is expected to grow rapidly. CDN traffic in 2015 stands at 23.9 EB per month which is about one third of global IP, will grow to 104.0 EB which is more than half of global IP. Cloud-based content sharing plays a major role of CDN, and its importance must be getting larger and larger in the next decade. However, the concept of cloud computing is rather vague even now, and its definition is partially controversial. Then, it is sometimes difficult even for the researchers in the computer and communications fields to truly understand the natures of numerous cloud-based content sharing systems working over the Internet. Thus we would like this survey to be some help for the researchers to organize their ideas or concepts on cloud-based content sharing systems.The rest of this paper is organized into four sections. In Sect. 2, some basic technology concepts supporting cloudbased systems from client-server to cloud computing, including their relationships and functional linkages, are shown. Section 3 int...

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“…Rochwerger [11] has proposed the reservoir model and architecture for Open Federated Cloud Computing.…”

Section: B Existing Trust Modelsmentioning

confidence: 99%

Implementation of trust model on CloudSim based on service parametric model

Sharma¹,

Mahrishi²

2015

2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

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Cloud Computing has a lot of research emphasis in recent years and it offers a virtual agenda of resource allocation of. In such a purely dispersed environment, an entity has freedom to use pool of resources. Due to compassion and vivacity of data or facts, such objects wish to access their specific closed resources. The user/consumer assumes good quality of service from a reliable service provider. The service provider, on the other hand assumes the cloud resources to be safe and it permits them to be exploited by a reliable consumer. To accomplish this, it is essential to create trust between entities of cloud across the cloud.Trust facilitates users to select the best available service in a diverse cloud infrastructure. A trust model is introduced based on past authorizations and present competences of a cloud service provider. Trust value is calculated using three parameters i.e. capability, behavior and feedback. A trust model is proposed to implement this trust value in cloud environment. The research work determines that our proposed model achieves better results than the existing trust models.

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An Architecture for Federated Cloud Computing

Cited by 29 publications

References 4 publications

Cost-Aware Resource Management for Federated Clouds Using Resource Sharing Contracts

Cost-Aware Resource Management for Federated Clouds Using Resource Sharing Contracts

Survey of Cloud-Based Content Sharing Research: Taxonomy of System Models and Case Examples

Implementation of trust model on CloudSim based on service parametric model

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