Advanced Techniques for Scheduling, Reservation, and Access Management for Remote Laboratories

The scheduling of multi-user remote laboratories is modeled as a multimodal function for the proposed optimization algorithm. The hybrid optimization algorithm, hybridization of the Nelder-Mead Simplex algorithm, and Non-dominated Sorting Genetic Algorithm (NSGA), named Simplex Non-dominated Sorting Genetic Algorithm (SNSGA), is proposed to optimize the timetable problem for the remote laboratories to coordinate shared access. The proposed algorithm utilizes the Simplex algorithm in terms of exploration and NSGA for sorting local optimum points with consideration of potential areas. SNSGA is applied to difficult nonlinear continuous multimodal functions, and its performance is compared with hybrid Simplex Particle Swarm Optimization, Simplex Genetic Algorithm, and other heuristic algorithms. The results show that SNSGA has a competitive performance to address timetable problems.

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Automatic Assessment of Progress Using Remote Laboratories

International Journal of Online Engineering (iJOE) ◽

10.3991/ijoe.v11i2.4379 ◽

2015 ◽

Vol 11 (2) ◽

pp. 49 ◽

Cited By ~ 3

Author(s):

Susana Romero ◽

Mariluz Guenaga ◽

Javier García-Zubia ◽

Pablo Orduña

Keyword(s):

Automatic Assessment ◽

Remote Laboratories

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Partnership Between CAB International and China in Information Access, Management and Dissemination: Past, Present and Future

Journal of Agricultural & Food Information ◽

10.1300/j108v04n03_07 ◽

2002 ◽

Vol 4 (3) ◽

pp. 61-73

Author(s):

Qiaoqiao Zhang

Keyword(s):

Information Access ◽

Access Management

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Dialysis Access Management

Journal of Vascular and Interventional Radiology ◽

10.1016/s1051-0443(96)70120-3 ◽

1996 ◽

Vol 7 (1) ◽

pp. 347-350

Author(s):

Kevin L. Sullivan

Keyword(s):

Dialysis Access ◽

Access Management

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Identity and Access Management Resilience against Intentional Risk for Blockchain-Based IOT Platforms

Electronics ◽

10.3390/electronics10040378 ◽

2021 ◽

Vol 10 (4) ◽

pp. 378

Author(s):

Alberto Partida ◽

Regino Criado ◽

Miguel Romance

Keyword(s):

Security Requirements ◽

Access Management ◽

Iot Security ◽

Complex Network Theory ◽

Scale Free ◽

Blockchain Technology ◽

Technology Transfers ◽

Iot Platforms ◽

Market Capitalisation ◽

Security Incidents

Some Internet of Things (IoT) platforms use blockchain to transport data. The value proposition of IoT is the connection to the Internet of a myriad of devices that provide and exchange data to improve people’s lives and add value to industries. The blockchain technology transfers data and value in an immutable and decentralised fashion. Security, composed of both non-intentional and intentional risk management, is a fundamental design requirement for both IoT and blockchain. We study how blockchain answers some of the IoT security requirements with a focus on intentional risk. The review of a sample of security incidents impacting public blockchains confirm that identity and access management (IAM) is a key security requirement to build resilience against intentional risk. This fact is also applicable to IoT solutions built on a blockchain. We compare the two IoT platforms based on public permissionless distributed ledgers with the highest market capitalisation: IOTA, run on an alternative to a blockchain, which is a directed acyclic graph (DAG); and IoTeX, its contender, built on a blockchain. Our objective is to discover how we can create IAM resilience against intentional risk in these IoT platforms. For that, we turn to complex network theory: a tool to describe and compare systems with many participants. We conclude that IoTeX and possibly IOTA transaction networks are scale-free. As both platforms are vulnerable to attacks, they require resilience against intentional risk. In the case of IoTeX, DIoTA provides a resilient IAM solution. Furthermore, we suggest that resilience against intentional risk requires an IAM concept that transcends a single blockchain. Only with the interplay of edge and global ledgers can we obtain data integrity in a multi-vendor and multi-purpose IoT network.

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