Virtual Machine Placement Based on Metaheuristic for IoT Cloud

Huang, Shih-Yun; Liao, Chen-Chi; Chang, Yao-Chung; Chao, Han‐Chieh

doi:10.1007/978-3-319-68505-2_41

Cited by 2 publications

(4 citation statements)

References 17 publications

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“…However, when it comes to Cloud IoT, the problem is even more challenging as new dimensions are introduced (i.e., Energy efficiency, resource allocation, etc.) [11][12][13][14][15][16][19][20][21][22][23][24][25][26]. To achieve the goal of energy-saving, which is the most important factor, the proposed approach (shown in Figure 3) attempts to handle the problem by optimizing the selection and placement of behavior of task execution time using a genetic algorithm.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Mishra et al [12] presented four scenarios: standby routes selection scheme (SBRS), the desired reliability level scheme (DRLS), a reliability-based sub-channel scheme (RBS), and a reliability-based data compression scheme (RBDS) to minimize total traffic power of the cloud-based IoT network through MILP optimization model. A multi-objective particle swarm optimization (MOPSO) mechanism for cloud brokering for optimum energy consumption was proposed by Huang et al [13] to enhance the return of investment (ROI) for cloud brokers and reduce time response of client requests. In 2018, Moghaddam and Leon-Garcia [14] had derived a heuristic algorithm to solve the problem of the cloud base architecture QoS [15,16] for IoT services selection.…”

Section: Related Workmentioning

confidence: 99%

“…T on =T arrival +ET AT ij c (13) P idle is the power consumption when VM is idle, T idle represents the time required to execute the task when VM is idle. VM moves from idle to on state with a rate T on .…”

Section: Et At Ij Iotmentioning

confidence: 99%

“…From Equations. (13,14), it can be obtained idle energy consumption (E idle ) and on energy consumption (E on ).…”

Section: Et At Ij Iotmentioning

confidence: 99%

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Optimizing Energy Consumption for Cloud Internet of Things

et al. 2020

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The Internet of Things (IoT) and Cloud Computing are considered to be two of the greatest technology revolutions in the last few years. New technology raised in recent years is known as Cloud IoT or the Cloud of Things (CoT), which integrates cloud computing and the Internet of things. Dynamic and heterogeneous environments, energy efficiency, and delay-sensitivity are the major issues with the CoT. Energy efficiency is one of the basic requirements of IoT applications and resources in the cloud, which is a challenging issue in the CoT. This paper proposes the optimization of energy schemes for the CoT by applying a Genetic Algorithm (GA). Extensive numerical simulation is carried out to verify the effectiveness of the proposed method compared to the ETCORA algorithm. The analytical results present better performances of the proposed optimizing energy consumption technique. Results also show that the proposed method indeed outperforms the ETCORA in reducing the energy consumption of task requests.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Et At Ij Iotmentioning

confidence: 99%

“…From Equations. (13,14), it can be obtained idle energy consumption (E idle ) and on energy consumption (E on ).…”

Section: Et At Ij Iotmentioning

confidence: 99%

See 2 more Smart Citations

Optimizing Energy Consumption for Cloud Internet of Things

et al. 2020

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Internet of Spatial Things: A New Reference Model With Insight Analysis

2019

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The Internet of Things (IoT) is the concept of everyday objects that make us live in the era of the IoT. The spatial characteristics of things around us can be considered the reins of the IoT operability. In other words, the spatial variation of a thing can be the core of the IoT reaction. For example, the spatial variation in crop indicates the requirement and characteristic of agriculture production. Also, the spatial variation of a human movement can alarm the security and monitoring systems. This issue agitates the contemplating of the ''Internet of Spatial Things (IoST)'' concept. For the first time, this paper draws an inspiration towards the perspective vision of the IoST, which is concerned with revise IoT with the spatial perspective. The IoST concept is argued by the presentation of its definition and architectural components. Besides, the IoST layers are discussed in details. Furthermore, a new proposed reference model of the IoST is proposed. Finally, the new trends and open issues regarding the IoST are aroused. INDEX TERMS Internet of Things (IoT), Internet of Spatial Things (IoST), spatial, framework.

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Virtual Machine Placement Based on Metaheuristic for IoT Cloud

Cited by 2 publications

References 17 publications

Optimizing Energy Consumption for Cloud Internet of Things

Optimizing Energy Consumption for Cloud Internet of Things

Internet of Spatial Things: A New Reference Model With Insight Analysis

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