Performance analysis of multi-core VMs hosting cloud SaaS applications

Kafhali, Said El

doi:10.1016/j.csi.2017.07.001

Cited by 27 publications

(9 citation statements)

References 22 publications

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“…The work in [ 20 ] presents an analytical model using multi-core virtual machines hosting cloud SaaS applications. Every SaaS application provides some quality-of-service parameters (QoS) such as availability, durability, performance.…”

Section: Background and Related Workmentioning

confidence: 99%

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

Sharma

Kaur

2021

Arab J Sci Eng

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Enormous amounts of unstructured data such as images, videos, emails, sensors’ data and documents of multiple types are being generated daily by varied applications. Apart from the challenges related to collection or processing of this data, its efficient storage is also a significant challenge since this data do not conform to any predefined storage model. Therefore, any enterprise dealing with huge unstructured data requires a scalable storage system that can provide data durability and availability at a low cost. The paper proposes a tenant-centric approach to develop an object-based software defined storage system for SaaS multi-tenant applications. We present TOSDS (Tenant-centric Object-based Software Defined Storage), a system that can efficiently meet the storage requirements of users or tenants with diverse needs who are using a multitenant SaaS application. The experimental verification of TOSDS illustrates its effectiveness in storage utilization as well as tenant isolation.

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Section: Background and Related Workmentioning

confidence: 99%

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

Sharma

Kaur

2021

Arab J Sci Eng

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“…Several simulators have been used for performance analysis of CDC-IoT architecture, specially the cloud-based systems are commonly evaluated using CloudSim, GreenCloud, CloudAnalyst, iCanCloud, GridSim, MDCSim, Network-CloudSim, and EMUSIM. However, those tools lacks in the capabilities for observing the dynamic behavior of CDC-IoT [94]. Furthermore, these tools are not feasible for simulation of blockchain-based systems.…”

Section: F Simulation Technique and Toolsmentioning

confidence: 99%

“…The FCC, CDC and FMC, all layers have their respective sinks as S 1 , S 2 , and S 3 . The mathematical modeling and formulation for CDC-IoT systems can be seen from [28], [94], [98]. And the mathematical modeling and formulation for blockchain integration can be seen in [68], [99].…”

Section: Simulation Setup a Queuing Model For Proposed Dualfogmentioning

confidence: 99%

DualFog-IoT: Additional Fog Layer for Solving Blockchain Integration Problem in Internet of Things

Memon

Nazeer

et al. 2019

IEEE Access

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Integration of blockchain and Internet of Things (IoT) to build a secure, trusted and robust communication technology is currently of great interest for research communities and industries. But challenge is to identify the appropriate position of blockchain in current settings of IoT with minimal consequences. In this article we propose a blockchain-based DualFog-IoT architecture with three configuration filter of incoming requests at access level, namely: Real Time, Non-Real Time, and Delay Tolerant Blockchain applications. The DualFog-IoT segregate the Fog layer into two: Fog Cloud Cluster and Fog Mining Cluster. Fog Cloud Cluster and the main cloud datacenter work in a tandem similar to existing IoT architecture for real-time and non-real-time application requests, while the additional Fog Mining Cluster is dedicated to deal with only Delay Tolerant Blockchain application requests. The proposed DualFog-IoT is compared with existing centralized datacenter based IoT architecture. Along with the inherited features of blockchain, the proposed model decreases system drop rate, and further offload the cloud datacenter with minimal upgradation in existing IoT ecosystem. The reduced computing load from cloud datacenter doesn't only help in saving the capital and operational expenses, but it is also a huge contribution for saving energy resources and minimizing carbon emission in environment. Furthermore, the proposed DualFog-IoT is also being analyzed for optimization of computing resources at cloud level, the results presented shows the feasibility of proposed architecture under various ratios of incoming RT and NRT requests. However, the integration of blockchain has its footprints in terms of latent response for delay tolerant blockchain applications, but real-time and non-real-time requests are gracefully satisfying the service level agreement. INDEX TERMS Blockchain, Internet of Things, fog layer, DualFog-IoT, quality of service (QoS).

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“…Actually, organizations can use cloud applications commonly called Software as a Service (SaaS) [ 6 ], which really means applications running at data centers owned by a cloud operator and accessed via the internet. Organizations can also use cloud development platforms which are commonly called Platform as a Service (PaaS) for their software developers.…”

Section: Introductionmentioning

confidence: 99%

How Much Your Cloud Management Platform Is Secure? OpenStack Use Case

Tissir

Kafhali

Aboutabit

2021

Innovations in Smart Cities Applications Volume 4

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Cloud computing still one of the most hyped IT innovations. It envisages a world where components can be rapidly released, implemented, and scaled up and down providing an on-demand utility-like model of allocation and consumption. Moreover, Cloud Management Platform CMP is considered one of its typical components. It is a software product that deploys and manages a Cloud infrastructure. OpenStack, as the most widely adopted platform, has got more and more attention. It aims to be competitive compared to other platforms, like Amazon Web Services (AWS). Furthermore, the adoption of cloud solutions introduces security and privacy concerns. OpenStack is no exception, and security concerns are present in its lifecycle which makes its security analysis a crucial mission. Therefore, this paper firstly presents a state of the art of OpenStack components, sub-components, and their interaction. Then, it focuses principally on an analysis of the most common vulnerabilities affected by OpenStack. The analysis is based on ten years of security reports. Our work leads to have a good comprehension of the OpenStack project, identify its vulnerability trends, and characterize comprehensively its security issues.

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Performance analysis of multi-core VMs hosting cloud SaaS applications

Cited by 27 publications

References 22 publications

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

DualFog-IoT: Additional Fog Layer for Solving Blockchain Integration Problem in Internet of Things

How Much Your Cloud Management Platform Is Secure? OpenStack Use Case

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