Author(s):  
Daniel Warneke

In recent years, so-called Infrastructure as a Service (IaaS) clouds have become increasingly popular as a flexible and inexpensive platform for ad-hoc parallel data processing. Major players in the cloud computing space like Amazon EC2 have already recognized this trend and started to create special offers which bundle their compute platform with existing software frameworks for these kinds of applications. However, the data processing frameworks which are currently used in these offers have been designed for static, homogeneous cluster systems and do not support the new features which distinguish the cloud platform. This chapter examines the characteristics of IaaS clouds with special regard to massively-parallel data processing. The author highlights use cases which are currently poorly supported by existing parallel data processing frameworks and explains how a tighter integration between the processing framework and the underlying cloud system can help to lower the monetary processing cost for the cloud customer. As a proof of concept, the author presents the parallel data processing framework Nephele, and compares its cost efficiency against the one of the well-known software Hadoop.


Author(s):  
Kayhan Zrar Ghafoor ◽  
Marwan Aziz Mohammed ◽  
Kamalrulnizam Abu Bakar ◽  
Ali Safa Sadiq ◽  
Jaime Lloret

Recently, Vehicular Ad Hoc Networks (VANET) have attracted the attention of research communities, leading car manufacturers, and governments due to their potential applications and specific characteristics. Their research outcome was started with awareness between vehicles for collision avoidance and Internet access and then expanded to vehicular multimedia communications. Moreover, vehicles’ high computation, communication, and storage resources set a ground for vehicular networks to deploy these applications in the near future. Nevertheless, on-board resources in vehicles are mostly underutilized. Vehicular Cloud Computing (VCC) is developed to utilize the VANET resources efficiently and provide subscribers safe infotainment services. In this chapter, the authors perform a survey of state-of-the-art vehicular cloud computing as well as the existing techniques that utilize cloud computing for performance improvements in VANET. The authors then classify the VCC based on the applications, service types, and vehicular cloud organization. They present the detail for each VCC application and formation. Lastly, the authors discuss the open issues and research directions related to VANET cloud computing.


2019 ◽  
pp. 592-620
Author(s):  
Poonam Saini ◽  
Awadhesh Kumar Singh

Resource sharing is the most attractive feature of distributed computing. Information is also a kind of resource. The portable computing devices and wireless networks are playing a dominant role in enhancing the information sharing and thus in the advent of many new variants of distributed computing viz. ubiquitous, grid, cloud, pervasive and mobile. However, the open and distributed nature of Mobile Ad Hoc Networks (MANETs), Vehicular Ad Hoc Networks (VANETs) and cloud computing systems, pose a threat to information that may be coupled from one user (or program) to another. The chapter illustrates the general characteristics of ad hoc networks and computing models that make obligatory to design secure protocols in such environments. Further, we present a generic classification of various threats and attacks. In the end, we describe the security in MANETs, VANETs and cloud computing. The chapter concludes with a description of tools that are popularly used to analyze and access the performance of various security protocols.


Author(s):  
Bay Arinze ◽  
Cheickna Sylla

Web 2.0 research is a term for research that uses Web platforms and tools for collaboration, communication, and knowledge generation by researchers who may be geographically dispersed. The new tools allow additional forms of synergistic collaborations between ad-hoc groups of researchers, crowdsourcing of new ideas, and to represent innovative platforms for sharing knowledge more rapidly. In parallel with these new research developments, cloud computing has emerged as a new way to provision and use IT resources to all types of computer users. With cloud computing, computer services are accessed over the Internet in a scalable fashion, and users are abstracted from the actual hardware and software, paying only for resources they use. This chapter discusses how current and future research will make use of cloud computing and how Web 2.0-based research models are transforming how research is conducted globally. It examines these new IT infrastructure models and explores how they can be deployed by organizations and individuals. It then discusses the benefits of cloud computing to the research enterprise and future directions for cloud computing-based research.


Author(s):  
Nitika Kapoor ◽  
Yogesh Kumar

Vehicular ad hoc networks (VANET) are networks that interconnect road and vehicles. The mobile nodes are used to connect themselves in self-organized manner. VANET is valuable that gives better performance and assures safe transportation system in prospect. Few of them are covered that helps in knowing the best protocol to be used in particular work. Initially, renewable energy is considered to be those sources that are derived either directly or indirectly from solar energy. Due to emission of harmful gases, in VANET, use of renewable resources come in existence. In another section of the chapter, various energy issues in VANET have been highlighted and added the concept of VANET-CLOUD. As cloud computing technologies have potential to improve the travelling experience and safety of roads by giving provision of various solutions like traffic lights synchronization, alternative routes, etc., VANET-CLOUD has been added at the end of the chapter.


Author(s):  
Jack Fernando Bravo-Torres ◽  
Martín López-Nores ◽  
Yolanda Blanco-Fernández ◽  
José Juan Pazos-Arias ◽  
Esteban Fernando Ordióñez-Morales

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Raquel Lacuesta ◽  
Jaime Lloret ◽  
Sandra Sendra ◽  
Lourdes Peñalver

Cloud computing helps users and companies to share computing resources instead of having local servers or personal devices to handle the applications. Smart devices are becoming one of the main information processing devices. Their computing features are reaching levels that let them create a mobile cloud computing network. But sometimes they are not able to create it and collaborate actively in the cloud because it is difficult for them to build easily a spontaneous network and configure its parameters. For this reason, in this paper, we are going to present the design and deployment of a spontaneous ad hoc mobile cloud computing network. In order to perform it, we have developed a trusted algorithm that is able to manage the activity of the nodes when they join and leave the network. The paper shows the network procedures and classes that have been designed. Our simulation results using Castalia show that our proposal presents a good efficiency and network performance even by using high number of nodes.


Sign in / Sign up

Export Citation Format

Share Document