SLA-aware broker for Public Cloud

Sfondrini, Nicola; Motta, Gianmario

doi:10.1109/iwqos.2017.7969136

Cited by 4 publications

(6 citation statements)

References 15 publications

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“…the semi-classical limit k ≫ 1 as well as to special cases such as the k = 1 theory which was recently related to a symmetric-product orbifold CFT [77,78]. Interestingly, our dispersion (15) at k = 1 precisely describes the single-excitation spectrum of the symmetric-product orbifold CFT of T 4 [79]. This might help us find an integrability description for symmetric-product orbifold CFTs, cf.…”

mentioning

confidence: 64%

Strings on NS-NS backgrounds as integrable deformations

2018

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We consider the world-sheet S matrix of superstrings on an AdS 3 × S 3 × T 4 NS-NS background in uniform light-cone gauge. We argue that scattering is given by a CDD factor that is nontrivial only between opposite-chirality particles, yielding a spin-chain-like Bethe ansatz. Our proposal reproduces the spectrum of nonprotected states computed from the Wess-Zumino-Witten description and the perturbative tree-level S matrix. This suggests that the model is an integrable deformation of a free theory similar to those arising from the TT composite operator.

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confidence: 64%

Strings on NS-NS backgrounds as integrable deformations

2018

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“…The main objective of any cloud-based load balancing algorithm is to provide the services to the client without any delay, and smooth transactions are expected between the client and the cloud service provider. The cloud service providers will be in contract with the end user in the form of SLA [8].…”

Section: Load Balancing Algorithmsmentioning

confidence: 99%

Real-Time Cloud-Based Load Balance Algorithms and an Analysis

2020

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Advancement in communication technologies has also made a positive impact by increase in the computation. Cloud computing is an internet-based computational utility which has reduced the cost of computation and cutting short of larger investments. Cloud is service-oriented architecture with decentralized computation. The SWOT analysis of the cloud computing can be used virtually in every industry to improve the service delivery and improvement; in return, it improves the business. There is a need of a cloud computing system which can use the cloud for the high-performance applications, increased scalability, ability to handle sudden request traffic increase, flexibility to change when applying new topologies, business continuity with complete flexibility, and overall improvement in the cloud system performance. Various load balancing techniques are available in cloud computing which are needed to study for the development of in advent of new emerging technologies like IoT, robotics, and AI.

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“…Based on the requirements, users select the cloud service provider. However, after the selection of cloud services there is a requirement of continued monitoring, adaption, virtual machine (VM) movements and need of optimizing the resources from the same servers or from different cloud service providers to enhance the cloud reliability and resource migration [1], [2].…”

Section: Introductionmentioning

confidence: 99%

“…It provides an elastic computing power to cloud services, which provides functionality to automatically expand or decrease computer processing, memory and storage resources to manage changing demands without configuring the capacity planning and peak usage. The proposed research introduced a smart cloud management using knowledge base, which models the cloud resources, it handles service level agreement and its evaluation, it also implements the strategy for efficient resource management of the intelligent smart cloud [1], [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Cloud resources modelling using smart cloud management

2022

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Cloud computing complexity is growing rapidly with the advancements that it is witnessing. It has created a requirement to simplify the process of configuring cloud and re-configuring it when required, it also involves tasks like auto scaling of infrastructure, elastic computing and maintaining the health of the servers. The proposed method introduces a smart cloud management using knowledge base, which models the resources of cloud; it handles service level agreement and its evaluations. The proposed knowledge base supports representational state transfer (REST/RESTful) services to store and manipulate different cloud aspects like type of application, business configuration, and metrics value and its type; it also implements the strategy for efficient resource management for smart clouds. The proposed architecture consists of smart cloud engine (which provides autonomous services, which help to exploit cloud resources for service optimization and to perform service automation), knowledge base (KB) (provide a cloud ontology which will help in the management of resources and provides intelligence to the smart cloud), server and cloud enrolment, designated monitoring tool and moderator. The resulted module is easy to integrate with any of the existing cloud management tool or orchestrator. As It is developed using REST protocol and extensible markup language (XML) language it is also easy to integrate with existing monitoring tool or application programming interface (APIs).

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SLA-aware broker for Public Cloud

Cited by 4 publications

References 15 publications

Strings on NS-NS backgrounds as integrable deformations

Strings on NS-NS backgrounds as integrable deformations

Real-Time Cloud-Based Load Balance Algorithms and an Analysis

Cloud resources modelling using smart cloud management

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