Experimental comparison of simulation tools for efficient cloud and mobile cloud computing applications

Bahwaireth, Khadijah; Tawalbeh, Lo’ai; Benkhelifa, Elhadj; Jararweh, Yaser; Tawalbeh, Mohammad

doi:10.1186/s13635-016-0039-y

Cited by 42 publications

(22 citation statements)

References 25 publications

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“…a-Simulation environment and simulation parameters There are many simulation environments that are used to simulate and deploy Micro-cloud and Clouds with different facilities and capabilities [10], [11]. These environments are able to create virtual machines (VM), remote procedure execution and web services with different capabilities.…”

Section: Simulation and Resultsmentioning

confidence: 99%

System Model for Multi-level Cloud Based Tactile Internet System

Ateya¹,

Vybornova²,

Samouylov³

et al. 2017

Lecture Notes in Computer Science

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With the realization of 5G system which will become a fact by 2020, there is a great demand to achieve the Tactile Internet system. Tactile Internet system should handle a 1ms communication latency, which is the main problem of the system realization. One of the proposed system structures to achieve such latency is to build the system based on the multilevel cloud architecture and the 5G network structure. In this work, we build a system model for a multi-level cloud based Tactile Internet system. The model is used to find the system latency and evaluate the system performance. The proposed system is simulated and the results show that the system will achieve a lower latency than other known architectures. The proposed model also reduces the overall network congestion. It can be used to optimize the number of clouds in the system to achieve the best system performance.

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Section: Simulation and Resultsmentioning

confidence: 99%

System Model for Multi-level Cloud Based Tactile Internet System

Ateya¹,

Vybornova²,

Samouylov³

et al. 2017

Lecture Notes in Computer Science

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“…For example, there are many attempts to propose secure cloud computing platforms that provide strong users authentication and authorization [24]. And since the cloud computing environments implementation is costly, the proposed secure platforms are first tested and simulated using best cloud simulators to verify their security and performance levels [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Security techniques for intelligent spam sensing and anomaly detection in online social platforms

Aldwairi

Tawalbeh

2020

IJECE

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The recent advances in communication and mobile technologies made it easier to access and share information for most people worldwide. Among the most powerful information spreading platforms are the Online Social Networks (OSN)s that allow Internet-connected users to share different information such as instant messages, tweets, photos, and videos. Adding to that many governmental and private institutions use the OSNs such as Twitter for official announcements. Consequently, there is a tremendous need to provide the required level of security for OSN users. However, there are many challenges due to the different protocols and variety of mobile apps used to access OSNs. Therefore, traditional security techniques fail to provide the needed security and privacy, and more intelligence is required. Computational intelligence adds high-speed computation, fault tolerance, adaptability, and error resilience when used to ensure security in OSN apps. This research provides a comprehensive related work survey and investigates the application of artificial neural networks for intrusion detection systems and spam filtering for OSNs. In addition, we use the concept of social graphs and weighted cliques in the detection of suspicious behavior of certain online groups and to prevent further planned actions such as cyber/terrorist attacks before they happen.

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“…In addition, MCCSIM users can propose many scenarios and different settings for the mobile devices to suit their different types of applications. 39…”

Section: Literature Reviewmentioning

confidence: 99%

Improving the impact of power efficiency in mobile cloud applications using cloudlet model

Tawalbeh

Aldwairi

2020

Concurrency and Computation

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The applications and services of Information and Communication Technologies are becoming a very essential part of our daily life. In addition, the spread of advanced technologies including the cloud and mobile cloud computing (MCC), wireless communication, and smart devices made it easy to access the internet and utilize unlim-K E Y W O R D S cloud computing applications, cloudlets model, mobile cloud computing, performance improvement, power consumption, simulation 1 INTRODUCTION The spread of advanced technologies including the cloud and mobile cloud computing (MCC), wired and wireless communications, cellular networks, and smart mobile devices made it easy to access the internet and benefit from unlimited number of useful services and applications. For example, we use mobile applications to perform variety of tasks: at work, in hospitals, for educational purposes, commercial transactions, social networking,

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Experimental comparison of simulation tools for efficient cloud and mobile cloud computing applications

Cited by 42 publications

References 25 publications

System Model for Multi-level Cloud Based Tactile Internet System

System Model for Multi-level Cloud Based Tactile Internet System

Security techniques for intelligent spam sensing and anomaly detection in online social platforms

Improving the impact of power efficiency in mobile cloud applications using cloudlet model

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