Dynamic Resource Provisioning for Sustainable Cloud Computing Systems in the Presence of Correlated Failures

Sharma, Yogesh; Taheri, Javid; Si, Weisheng; Sun, Daniel; Javadi, Bahman

doi:10.1109/tsusc.2020.3025180

Cited by 9 publications

(3 citation statements)

References 29 publications

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“…The term "Digital Watermarking" had its dawn in 1992 and since then it has been an active topic of research [21]. Its applications are continuously branching out to new advents in technology; for example, the process of watermarking a neural network is known as "passporting" [22,23], security in cloud storage systems [24,25], electronic money transfers, e-governance [26]. However, the use of watermarking for purposes of copyright protection and authentication has always been a key focus ever since its arrival [27,28], thus is also the focus of this discussion.…”

Section: Related Workmentioning

confidence: 99%

A single watermark based scheme for both protection and authentication of identities

Sharma

Zou

Fang

2022

IET Image Processing

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The security of a watermarking scheme is mainly categorised as either robust or fragile. The former can withstand an authorised alteration/attack, primarily used in copyright protection. The latter follows a zero tolerance towards any modification, used primarily in content authentication processes. The existing literature in the field projects that two separate watermarks are required to make a watermarking scheme robust and fragile, thus making the overall process cumbersome and complex. A novel image watermarking scheme that uses only one watermark while achieving both goals of copyright protection and authentication of identities is presented. An unconventional concept of checkpointing is introduced, which equips the proposed scheme to be either robust or fragile, making it superior in its application versatility. First, watermark embedding within the host/original image is achieved by a combination of transform domain techniques along with a novel median‐based embedding block selection procedure. Second, checkpointing is performed in the spatial domain. The watermarked image in the absence of an attack is correlated to the one that is being attacked, using the template energy comparison‐based approach. In the case of the robust watermark, such checkpointing can establish whether the carried out attack is authorised or not, determining the successful recovery of the watermark or vice‐versa. Moreover, in the case of the fragile watermark, a sole confirmation of the occurrence of an attack is sufficient to make the watermark recovery impossible. Finally, the experimental analysis of the proposed scheme illustrates its excellent performance and superiority over state‐of‐the‐art methods within the field.

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Section: Related Workmentioning

confidence: 99%

A single watermark based scheme for both protection and authentication of identities

Sharma

Zou

Fang

2022

IET Image Processing

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“…IDSM systems use intent negotiation to meet user's service requirements under resource scarcity and quality-of-services (QoS) constraints, rather than simply rejecting them outright. The resource scarcity may occur due to the under-deployment of the resources, their over-utilization or failures, which is a frequent scenario in softwarized networks [9].…”

Section: Introductionmentioning

confidence: 99%

Intent Negotiation Framework for Intent-driven Service Management

Sharma¹,

Bhamare²,

Kassler³

et al. 2023

Preprint

Self Cite

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<p>To automate network operations and compute ser- vices, intent-driven service management (IDSM) is essential. It enables network users to express their service requirements in a declarative manner as <em>i</em>ntents. To fulfill the intents, closed control-loop operations perform required configurations and deployments without human intervention. Despite the fact that the intents are fulfilled automatically, conflicts may arise between users and service providers due to limited capabilities of service providers and user requirements specified as intents. This triggers IDSM system to initialize an intent negotiation process among conflicting actors. Intent negotiation involves generating one or more alternate intents based on the current state of the underlying physical/virtual resources, which are then presented to the intent creator for acceptance or rejection. In this way, the quality of services (QoS) can be improved significantly by maximizing the acceptance rate of service requests in the scenario of limited resources. However, intent negotiation sub-systems are still in their infancy. The available solutions are platform dependent which pose various challenges in their adoption to diverse platforms. The main focus of this work has been to draft a comprehensive and generic intent negotiation framework which can be used across diverse IDSM platforms. In this work, we have identified and defined various processes that are necessary for a comprehensive intent negotiation framework. A generic intent negotiation framework is then presented incorporating all the interactions among all the identified processes while conflicting actors engage in the intent negotiation, towards the fulfilment of the given service. </p>

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“…With the pressure of connecting billions of intelligent devices and having mobile terminals as a part of the Internet of Things (IoT), the intensity of migrating the services and assuring the safety of operations are critical [3]. Most recent works focus on service migration when an additional load is encountered in the network or the case of a change in the configuration of the network [4], [5]. These works utilize cost functions and build a priority system to handle incoming requests.…”

Section: Introductionmentioning

confidence: 99%

Optimal and Privacy-Aware Resource Management in Artificial Intelligence of Things Using Osmotic Computing

Sharma

Tan

Singh

et al. 2022

IEEE Trans. Ind. Inf.

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Critical infrastructure comprising on-demand devices, including secondary servers, comes into play when a situation like an overload is involved. The on-demand servers and devices require smart management solutions that form an integral part of Artificial Intelligence of Things (AIoT). This work considers AIoT as a combination of Mobile-Internet of Things (M-IoT) and AI requiring immediate response, secondary support system, and computational resources. Privacy in AIoT is always a concern when sharing information as intruders can eavesdrop on the settings of the system. This paper uses an osmotic computing paradigm, which enables the derivation of strategies to decide on the methods of sharing services via optimal and privacyaware resource management in AIoT. A safety competition is built on top of configuration rewards that help to attain privacyby-design. The contributions of this work are expressed using theoretical analysis and numerical simulations.

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Dynamic Resource Provisioning for Sustainable Cloud Computing Systems in the Presence of Correlated Failures

Cited by 9 publications

References 29 publications

A single watermark based scheme for both protection and authentication of identities

A single watermark based scheme for both protection and authentication of identities

Intent Negotiation Framework for Intent-driven Service Management

Optimal and Privacy-Aware Resource Management in Artificial Intelligence of Things Using Osmotic Computing

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