Mathematical models for failure reconfiguration of telecommunication networks : Part 1
- Authors: Dzalilov, Zari , Ouveysi, Iradj
- Date: 2009
- Type: Text , Journal article
- Relation: Optimization Vol. 58, no. 5 (2009), p. 483-504
- Full Text: false
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- Description: This article proposes various mathematical modelling of networks for failure recovery. We consider a survivable communication network which is designed to carry different types of services under service level agreements (SLAs) between the network provider and the network users. Two different approaches for dynamical reconfiguration of networks are presented: with and without penalization. The approach without penalization does not require to consider the status of SLAs during the process of network reconfiguration. The second approach considers the status of the SLAs in the network and the corresponding re-optimization model for network reconfiguration is more complicated as the dimension of the linear programming problem in this case is higher than one for the problem of optimization without penalization. Some mathematical models and solution methodologies for this network operation problem are presented and an extensive implementation result has been provided.
Mathematical models for failure reconfiguration of telecommunication networks : Part 2
- Authors: Dzalilov, Zari , Ouveysi, Iradj
- Date: 2009
- Type: Text , Journal article
- Relation: Optimization Vol. 58, no. 5 (2009), p. 505-520
- Full Text: false
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- Description: This article proposes an efficient network reconfiguration model for failure recovery of a communication network. The novelty of our methodology is that, it considers a small neighbourhood of failed component(s) in the network in order to perform network reconfiguration. This approach significantly reduces the size of proposed linear programming problem, making our reconfiguration procedure theoretically scalable and practically implementable. Targeting a small neighbourhood of failed area in the network also minimizes the amount of traffic rerouting in the network. This is ideal in the management of a communication network.
Energy-aware virtual machine consolidation in IaaS cloud computing
- Authors: Ferdaus, Md Hasanul , Murshed, Manzur
- Date: 2014
- Type: Text , Book chapter
- Relation: Cloud Computing : Challenges, Limitations and R&D Solutions (Computer Communications and Networks series) Chapter 8 p. 179-208
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- Description: With immense success and rapid growth within the past few years, cloud computing has been established as the dominant paradigm of IT industry. To meet the increasing demand of computing and storage resources, infrastructure cloud providers are deploying planet-scale data centers across the world, consisting of hundreds of thousands, even millions of servers. These data centers incur very high investment and operating costs for the compute and network devices as well as for the energy consumption. Moreover, because of the huge energy usage, such data centers leave large carbon footprints and thus have adverse effects on the environment. As a result, efficient computing resource utilization and energy consumption reduction are becoming crucial issues to make cloud computing successful. Intelligent workload placement and relocation is one of the primary means to address these issues. This chapter presents an overview of the infrastructure resource management systems and technologies and detailed description of the proposed solution approaches for efficient cloud resource utilization and minimization of power consumption and resource wastages. Different types of server consolidation mechanisms are presented along with the solution approaches proposed by the researchers of both academia and industry. Various aspects of workload reconfiguration mechanisms and existing works on workload relocation techniques are described.
Reconfigurable smart factory for drug packing in healthcare industry 4.0
- Authors: Wan, Jiafu , Tang, Shenglong , Li, Di , Imran, Muhammad , Zhang, Chunhua
- Date: 2019
- Type: Text , Journal article
- Relation: IEEE Transactions on Industrial Informatics Vol. 15, no. 1 (2019), p. 507-516
- Full Text: false
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- Description: Industry 4.0, which exploits cyber-physical systems and represents digital transformation of manufacturing, is deeply affecting healthcare as well as other traditional production sector. To accommodate the increasing demand of agility, flexibility, and low cost in healthcare sector, a data-driven reconfigurable production mode of Smart Factory for pharmaceutical manufacturing is proposed in this paper. The architecture of the Smart Factory is consisted of three primary layers, namely perception layer, deployment layer, and executing layer. A Manufacturing's Semantics Ontology based knowledgebase is introduced in the perception layer, which is responsible for plan scheduling of pharmaceutical production. The reconfigurable plans are generated from the production demand of drugs as well as the information statement of low-level machine resources. To further functionality reconfiguration and low-level controlling, the IEC 61499 standard is also introduced for functionality modeling and machine controlling. We verify the proposed method with an experiment of demand-based drug packing production, which reflects the feasibility and adequate flexibility of the proposed method. © 2005-2012 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran" is provided in this record**