A study on container virtualization for guarantee quality of service in Cloud-of-Things

Celesti, Antonio; Mulfari, Davide; Galletta, Antonino; Fazio, Maria; Carnevale, Lorenzo; Villari, Massimo

doi:10.1016/j.future.2019.03.055

Cited by 23 publications

(19 citation statements)

References 24 publications

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“…Many studies have been done to demonstrate how successfully and efficiently the Internet of Things (IoT) can manage with heterogeneous edges when looking back at the phases that the IoT has gone through, especially in the last ten years [1] [5] [8].…”

Section: Growth Of Iotmentioning

confidence: 99%

“…Furthermore, the Internet of Things has proved that it is one of the few sciences that will take use of emerging technologies while reserving the right to innovate and update both the global environment in which it functions and the other parties it comprises [8], or else this entire methodology would have failed at the first hurdle, but not with IoT, which prompted the development of new architectures in a variety of disciplines, such as [16] from 2009, which introduced a fully integrated biomedical programmable sensor chip, or [2], which was able to capitalize on the momentum of a well-known and consistent phenomenon in the tech world, namely the Blockchain that underpins Bitcoins and many other cryptocurrencies [24] [25] [26]. Because Ashton's definition connects the potential capabilities of IoT to the actual capabilities of the internet, and because IoT arose from the growing need for more devices to connect to the internet, and for a better understanding of how these needs began to be translated into actual devices, this section will be divided into the following sections.…”

Section: Growth Of Iotmentioning

confidence: 99%

“…The internet of things, or IoT, is a network of computational and sensor-equipped devices that are ready to be connected and work in an internet-connected workplace, and where web-based software has provided the software development industry more flexibility by allowing a software/database running on a server to respond to client requests from a variety of different operating systems, the Internet of Things has added even more diversity, since an IoT project necessitates the usage of diverse devices, systems, and databases that can be hosted on various platforms and operated from various locations [1]- [7]. A shipping company, for example, could have a cloud-based system on which employees from various branch offices can submit orders, as well as another cloud-based system that tracks the activity of its drivers who collect items from company clients using a Global Positioning System (GPS), and a local server at the main branch of the company that uses sensors and other devices and analytical capacities to keep track of some stocks and send out alerts if the stock of a certain material has gone low [8] [9] [10] [11] [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Internet of Things: Towards a Solid Ecosystem of Interconnected Things

Chakroun¹,

Sayah²,

Kallab³

et al. 2022

AIT

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The Internet of Things (IoT) is a technological revolution that has changed everything we do and given us a new perspective on our daily lives, but despite the fact that numerous publications have focused on characterizing the many edges and technologies that make up an IoT system, the IoT ecosystem is still seen as too complex to be recognized as a stand-alone environment due to its significant diversity; hence, the objective of this research is to address such a complex environment in a way that highlights its components and distinguishes them both individually and in relation to their broader context. Therefore, the definition of IoT and its emergence were discussed and organized around the timeline of Internet development phases demonstrating that IoT has been a need that has accompanied the presence of the Internet since its early stages, and then its growth and impact were discussed and highlighted with estimates and numbers. On the technical side, each of the following groups, IoT components, protocols, and architectures, was defined, discussed, and grouped in such a way that their intergroup organization, as well as their placement and contribution to the overall ecosystem, was highlighted. This, in addition to the various examples mentioned throughout the discussion, will provide the reader with a better understanding of the Internet of Things and how deeply it has become entwined in our daily lives and routines as a result of its numerous applications.

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Section: Growth Of Iotmentioning

confidence: 99%

Section: Growth Of Iotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Internet of Things: Towards a Solid Ecosystem of Interconnected Things

Chakroun¹,

Sayah²,

Kallab³

et al. 2022

AIT

View full text Add to dashboard Cite

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“…The containerization (Stelly and Roussev, 2017; Mavridis and Karatza, 2019; Salza and Ferrucci, 2019; Wan et al , 2018; Tang et al , 2018) application is one among the technologies that enable microservices architectures, which is observed to be the model for operating system (OS) virtualization (Celesti et al , 2019; Makowski and Grosso, 2019). Containers are the virtual instances of the OS that are structured as the isolation for the OS atmosphere and its file system, which are executed on the single kernel and a single host.…”

Section: Introductionmentioning

confidence: 99%

Improved rider optimization for optimal container resource allocation in cloud with security assurance

Vhatkar¹,

Bhole²

2020

IJPCC

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Purpose The containerization application is one among the technologies that enable microservices architectures, which is observed to be the model for operating system (OS) virtualization. Containers are the virtual instances of the OS that are structured as the isolation for the OS atmosphere and its file system, which are executed on the single kernel and a single host. Hence, every microservice application is evolved in a container without launching the total virtual machine. The system overhead is minimized in this way as the environment is maintained in a secured manner. The exploitation of a microservice is as easy to start the execution of a new container. As a result, microservices could scale up by simply generating new containers until the required scalability level is attained. This paper aims to optimize the container allocation. Design/methodology/approach This paper introduces a new customized rider optimization algorithm (C-ROA) for optimizing the container allocation. The proposed model also considers the impact of system performance along with its security. Moreover, a new rescaled objective function is defined in this work that considers threshold distance, balanced cluster use, system failure, total network distance and security as well. At last, the performance of proposed work is compared over other state-of-the-art models with respect to convergence and cost analysis. Findings For experiment 1, the implemented model at 50th iteration has achieved minimal value, which is 29.24%, 24.48% and 21.11% better from velocity updated grey wolf optimisation (VU-GWO), whale random update assisted LA (WR-LA) and rider optimization algorithm (ROA), respectively. Similarly, on considering Experiment 2, the proposed model at 100th iteration attained superior performance than conventional models such as VU-GWO, WR-LA and ROA by 3.21%, 7.18% and 10.19%, respectively. The developed model for Experiment 3 at 100th iteration is 2.23%, 5.76% and 6.56% superior to VU-GWO, WR-LA and ROA. Originality/value This paper presents the latest fictional optimization algorithm named ROA for optimizing the container allocation. To the best of the authors’ knowledge, this is the first study that uses the C-ROA for optimization.

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“…Once the received request is executed, execution results are sent back to the source IoT device [7]. In order to efficiently utilize the Fog/Cloudlet resources and minimize any potential performance overheads, a lightweight virtualization technique is employed, in which application modules and user data are encapsulated in containers [8,9].…”

Section: Introductionmentioning

confidence: 99%

Mobility-Aware Container Migration in Cloudlet-Enabled IoT Systems using Integrated Muticriteria Decision Making

Al-Tarawneh¹

2020

IJACSA

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Service migration plays a vital role in continuous service delivery in Internet of Things (IoT) systems. This paper presents a mobility-aware container migration algorithm for Cloudlet-enabled IoT systems. The proposed algorithm is based on an integrated multicriteria decision making (MCDM) approach. It has been implemented using a specialized simulation tool and compared to other existing migration algorithms. Simulation results demonstrate the ability of the proposed algorithm to achieve up to 48%, 48%, 20% and 36% improvement in migration time, service downtime, migration reliability and service loss rate, respectively as compared to other migration algorithms. The proposed algorithm is capable of perceiving the run-time dynamics of IoT systems and appropriately manage the process of container migration.

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A study on container virtualization for guarantee quality of service in Cloud-of-Things

Cited by 23 publications

References 24 publications

Internet of Things: Towards a Solid Ecosystem of Interconnected Things

Internet of Things: Towards a Solid Ecosystem of Interconnected Things

Improved rider optimization for optimal container resource allocation in cloud with security assurance

Mobility-Aware Container Migration in Cloudlet-Enabled IoT Systems using Integrated Muticriteria Decision Making

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