Data On-Boarding in Federated Storage Clouds

Vernik, Gil; Shulman‐Peleg, Alexandra; Dippl, Sebastian; Formisano, Ciro; Jaeger, Michael C.; Kolodner, Elliot K.; Villari, Massimo

doi:10.1109/cloud.2013.54

Cited by 30 publications

(13 citation statements)

References 14 publications

(14 reference statements)

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“…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]. This parameter is declared as lockin = 1 N , where N is the amount of used storages, and lockin ∈ (0, 1].…”

Section: Quality Of Servicementioning

confidence: 99%

“…Furthermore, analogue as (25) calculates the cost that occur due to the used outgoing traffic of s, (31) calculates the cost that occur due to the used storage of s. …”

Section: Constraintsmentioning

confidence: 99%

“…One way to prevent those risks is the redundant usage of different storages. This does not only decreases the risk of vendor lock-in [25] but also increases data availability and durability.…”

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: Quality Of Servicementioning

confidence: 99%

“…Furthermore, analogue as (25) calculates the cost that occur due to the used outgoing traffic of s, (31) calculates the cost that occur due to the used storage of s. …”

Section: Constraintsmentioning

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 old cloud is assumed to be unaware of the on-boarding and is not required to introduce any modification. Migrating data via on-boarding federation directly between the clouds leads to a significant savings in time and cost [30]. From the technical standpoint, the on-boarding architecture specifies the following three primary flows:…”

Section: Vision Cloud Delegation Scenariosmentioning

confidence: 99%

“…This of problem of "data lock-in" is considered to one of the top ten obstacles for growth in Cloud Computing [1]. In a recent paper Vernik et al [30] present an architecture for on-boarding federation to deal with this problem. On-boarding federation allows an enterprise to efficiently migrate its data from one storage cloud provider to another (e.g., for business or legal reasons), while providing continuous access and a unified view over the data over the course of the migration.…”

mentioning

confidence: 99%

Delegation across storage clouds: on-boarding federation as a case study

Formisano¹,

Kolodner²,

Shulman‐Peleg³

et al. 2014

SCPE

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Abstract. As the volume of digital data rapidly increases, storage clouds are becoming a popular solution for both enterprise and personal data, and the number of storage cloud solutions is also increasing. However, these solutions do not yet deal with the need of customers for interoperability and data migration from one cloud to another. These issues can be addressed through federation of cloud infrastructures. An important aspect of federation is delegation of access control, where one actor, e.g., an end user, authorizes another actor, e.g., a cloud provider, to act on its behalf, typically with a subset of its access rights, safely and securely.This paper deals with delegation across storage clouds. We describe a delegation architecture for on-boarding federation, which allows an enterprise to efficiently migrate its data from one storage cloud provider to another (e.g., for business or legal reasons), while providing continuous access and a unified view over the data during the migration. In our architecture a user delegates a subset of his access rights on the source and destination clouds to an on-boarding federation layer on the destination cloud. This enables on-boarding to occur in a safe and secure way, such that the on-boarding layer has the least privilege required to carry out its work. We evaluate the security implications of delegation that need to be taken into account for on-boarding. We also show how the delegation architecture can be implemented using the Security Assertion Markup Language.

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