CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability

Zhang, Quanlu; Li, Shenglong; Li, Zhenhua; Xing, Yuxiang; Yang, Zhi; Dai, Yafei

doi:10.1109/tcc.2015.2417534

Cited by 67 publications

(41 citation statements)

References 20 publications

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“…Another cost-efficient multi-cloud storage system is CHARM [28]. Similar to our work, CHARM offers the functionality to find the cheapest storage solution from a set of available cloud storage providers to realize high availability and to avoid vendor lock-in.…”

Section: Related Workmentioning

confidence: 87%

“…Vendor lock-in factor A vendor lock-in situation can occur if the data are stored on only one storage service which is not reachable; therefore, the data are locked on this provider and can not be accessed or migrated [28]. This unavailability of the provider can be temporarily, e.g., networking issues; or in the worst case, the provider can go out of business [5,25].…”

Section: Quality Of Servicementioning

confidence: 99%

“…All three optimization approaches, the local one from our former work [26], and the global and heuristic approach from this work, consider predefined storage requirements (i.e., availability, durability, and a vendor lock-in factor) of the customer. Furthermore, all optimization approaches consider access patterns of all data objects, which is a significant cost factor [28].…”

Section: Introductionmentioning

confidence: 99%

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Cost-optimized redundant data storage in the cloud

Waibel¹,

Matt²,

Hochreiner³

et al. 2017

SOCA

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The use of cloud-based storage systems for storing data is a popular alternative to local storage systems. Beside several benefits of cloud-based storages, there are also downsides like vendor lock-in or unavailability. Moreover, the selection of the best fitting storage solution can be a tedious and cumbersome task and the storage requirements may change over time. In this paper, we formulate a system model that uses multiple cloud-based services to realize a redundant and cost-efficient storage. Within this system model, we formulate a local and a global optimization problem that considers historical data access information and predefined quality of service requirements to select a costefficient storage solution. Furthermore, we present a heuristic optimization approach for the global optimization. Extensive evaluations show the benefits of our work in comparison with a baseline that follows a state-of-the-art approach. We show that our solutions save up to 30% of the cumulative cost in comparison with the baseline. B Philipp Waibel

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Section: Related Workmentioning

confidence: 87%

Section: Quality Of Servicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cost-optimized redundant data storage in the cloud

Waibel¹,

Matt²,

Hochreiner³

et al. 2017

SOCA

View full text Add to dashboard Cite

show abstract

“…CHARM [65] is a system with a multi-cloud data-hosting scheme, which selects several suitable clouds and an appropriate redundancy strategy to store data while minimizing monetary costs and maximizing guaranteed availability. The system also has a transition process to redistribute data according to the variations of data access patterns and pricing clouds.…”

Section: Charmmentioning

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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“…From the availability system perspective, it is possible for the component to be contingent or simulate the other element. Some of the dynamic performances are a facility to repair the effect of ageing, causes of the method of let-downs and so on [7]. Specifically, ageing is one of the factors while assessing the availability of the virtual machine [11].…”

Section: Introductionmentioning

confidence: 99%

Availability Modelling of Fault Tolerant Cloud Computing System

Mani¹,

Mahendran²

2017

IJIES

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Abstract:Cloud management organisation is an imperative part of cloud computing platform and serving as the resource manager for cloud platforms. The multifaceted nature of cloud-management base makes its high availability (HA), a standout amongst the most necessities. Different innovations have been produced to build a consistent quality and availability of cloud administration infrastructure. In any case, little work concentrated on quantitative examination of its accessibility. While this ability accomplishes a developed availability with small fault rates, corporate requests conveyed over the autonomous zones may encounter unique Quality of Service (QoS) because of various physical frameworks. The key target of this paper is to show how the Markov-based model can fulfil the client request. For this reason, a few scenarios of the failure rate of virtual machine's practices, for example, single system failure, multiple system failures, power outage are considered by applying the Markov model. The improved repair strategies of accessibility in various circumstances are also investigated. The Queuing models like Markovian and non-Markovian models are examined using phase type expansion and renewal theory keeping in mind the end goal to sufficiently speak to and to assess. The considered element unwavering quality perspectives if there should be an occurrence of the most part dispersed lifetimes and times to repair.

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CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability

Cited by 67 publications

References 20 publications

Cost-optimized redundant data storage in the cloud

Cost-optimized redundant data storage in the cloud

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

Availability Modelling of Fault Tolerant Cloud Computing System

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