A multi-parameter scheduling method of dynamic workloads for big data calculation in cloud computing

Hanani, Ali; Rahmani, Amir Masoud; Sahafi, Amir

doi:10.1007/s11227-017-2050-6

Cited by 15 publications

(6 citation statements)

References 32 publications

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“…Through a variety of wireless or wired long-distance or shortdistance networks for transmission, application integration, as well as cloud computing-based software and service operation mode, in the Internet, LAN and other environments, the use of appropriate information protection mechanisms can provide security and even personalized real-time online monitoring, GPS positioning traceability, early warning management, remote control, security prevention, remote maintenance, on-line upgrade etc. [17]. It has realized the integrated management of high efficiency, energy saving, safety and environmental protection.…”

Section: Methodology a Internet Of Thingsmentioning

confidence: 99%

Intelligent Agriculture and Its Key Technologies Based on Internet of Things Architecture

Chen

Yang

2019

IEEE Access

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In order to promote the efficient development of agriculture, the Internet of Things technology is applied to modern agricultural production, and a smart agricultural system is constructed in this paper. Moreover, the data visualization analysis and cluster analysis are used to find the key technologies in the development of the intelligent agriculture, which can effectively improve the production efficiency and ensure the quality of the agricultural products. Intellectualized products are gradually integrated into agricultural production, and the development of the Internet of Things also gives technical impetus to intelligent agriculture. Through the functions of sensing, identification, transmission, monitoring, and feedback of the Internet of Things, related agricultural activities can be accurately completed, which not only saves the time cost of farmers but also improves the crop yields and, ultimately, benefits the farmers. Therefore, the Internet of Things is used for agriculture induction, identification, monitoring, and feedback, and it is also applied to find the key technology in the application process to achieve intelligent, scientific, and efficient agriculture. It also has certain reference significance for the research of the front-end induction recognition and the intelligence of the Internet of Things in the aquaculture industry. INDEX TERMS Intelligent agriculture, Internet of Things technology, data visualization analysis, cluster analysis.

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Section: Methodology a Internet Of Thingsmentioning

confidence: 99%

Intelligent Agriculture and Its Key Technologies Based on Internet of Things Architecture

Chen

Yang

2019

IEEE Access

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“…The correctness analysis of IoT service composition in some critical systems such as health care and industrial systems is an important challenge . So, evaluation of the complex communications between IoT smart devices and cloud services using formal verification is a challengeable issue Verification of service interoperability between enterprise systems and cloud services is a new challenge for the service composition issue.…”

Section: Open Issuesmentioning

confidence: 99%

Formal verification approaches in the web service composition: A comprehensive analysis of the current challenges for future research

Souri

Rahmani

Navimipour

2018

Int J Communication

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Summary Today, service composition is emerging paradigm on the communication networks such as cloud environments, internet of things, wireless sensor network, and software‐defined network. The goal of service composition method is to provide the interactions between user requirements and smart objects of intelligent communication systems. There have been many efforts to use formal verification and behavioral modeling methods to evaluate the service composition mechanisms. Up to now, there is not a comprehensive analysis research on this topic. Therefore, this paper focuses on several formal verification approaches that are performed to confirm the service composition correctness in communication networks. The objective of this paper is to comprehensively categorize and examine current research techniques on formal verification of the service composition. This research analysis provides an overview of recent service composition approaches according to structural and functional properties. Comparison results show that most of the verification approaches in explanation of the service composition correctness are semantic‐aware approach with 43%. The most used verification method for the service composition is model checking with 69%. The process algebra is used 29%, and some theorem proving methods are applied in 9% of the investigated mechanism. Moreover, most widely used modeling tools are NuSMV (22%), SPIN (17%), CPN (12%), UPPAAL (12%), Event‐B (10%), and PAT (5%).

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“…We assume that each user request is encapsulated in a VM, which may have different sizes and configurations called instance types. Each cloud provider is comprised of a number of servers or PMs that are responsible for hosting these VMs.…”

Section: Problem Modelingmentioning

confidence: 99%

Energy and cost‐aware virtual machine consolidation in cloud computing

2018

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Cloud computing has become an essential part of the computational world, offering a variety of server capabilities as scalable virtualized services. Big data centers that deliver cloud computing services contain thousands of computational nodes that consume a significant amount of energy. By introducing the virtual machine (VM), virtualization technology is trying to overcome this problem. One impressive technique for minimizing the total number of active physical servers that lead to improved energy consumption is VM consolidation.To optimize the consolidation process, effective VM placement can be used. In this paper, we first present a mathematical model aimed at reducing power consumption and costs by employing an effective VM consolidation in the cloud data center. Subsequently, we propose a genetic algorithm-based meta-heuristic algorithm, namely, energy and cost-aware VM consolidation for resolving the problem. Finally, we compare our proposed model with the well-known first fit, first fit decreasing, and permutation pack algorithms. The experimental resultsshow that our proposed model reduced power consumption and costs when compared with the three demonstrated algorithms.

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A multi-parameter scheduling method of dynamic workloads for big data calculation in cloud computing

Cited by 15 publications

References 32 publications

Intelligent Agriculture and Its Key Technologies Based on Internet of Things Architecture

Intelligent Agriculture and Its Key Technologies Based on Internet of Things Architecture

Formal verification approaches in the web service composition: A comprehensive analysis of the current challenges for future research

Energy and cost‐aware virtual machine consolidation in cloud computing

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