Network and traffic engineering in emerging distributed computing applications

This book focuses on network management and traffic engineering for Internet and distributed computing technologies, as well as present emerging technology trends and advanced platform

Communities, networks, individuals : place, self and everyday life on the internet

In this paper, I review the long-established use of the concept of ‘community’ which attempts both to perceive and analyse the experience of human interaction, mediated by networked computing. Ever since this form of communication commenced, it was clear that it was no ‘bloodless technological ritual’ (Rheingold, 1994), but something much more deeply human and expressive. For many years, the conceptual apparatus of ‘community’ served as the primary means for understanding the limits and potentials of this activity. However, the recent rise of social networking and social media might cast doubt on the legitimacy of this contested term’s continued relevance. Thus, I move from community to self, via the network notation that has come now to dominate our terminologies. I seek to demonstrate that, as the Internet has become interleaved with everyday life to the point where there is no distinction, for many people, between online and offline, we need to think again about how and what community might mean. In doing so, I suggest that the relationship between self and others, mediated or otherwise, is always one of shared ‘place’ but that contemporary practices of social networking differ significantly in how that place is shared and the degree of collective effort required.

Dematerialised data and human desire : the Internet and copy culture

Since Licklider in the 1960s [27] influential proponents of networked computing have envisioned electronic information in terms of a relatively small (even singular) number of 'sources', distributed through technologies such as the Internet. Most recently, Levy writes, in Becoming Virtual, that "in cyberspace, since any point is directly accessible from any other point, there is an increasing tendency to replace copies of documents with hypertext links. Ultimately, there will only need to be a single physical exemplar of the text" [13 p.61]. Hypertext implies, in theory, the end of 'the copy', and the multiplication of access points to the original. But, in practice, the Internet abounds with copying, both large and small scale, both as conscious human practice, and also as autonomous computer function. Effective and cheap data storage that encourages computer users to keep anything of use they have downloaded, lest the links they have found, 'break'; while browsers don't 'browse' the Internet - they download copies of everything to client machines. Not surprisingly, there is significant regulation against 'copying' - regulation that constrains our understanding of 'copying' to maintain a legal fiction of the 'original' for the purposes of intellectual property protection. In this paper, I will firstly demonstrate, by a series of examples, how 'copying' is more than just copyright infringement of music and software, but is a defining, multi-faceted feature of Internet behaviour. I will then argue that the Internet produces an interaction between dematerialised, digital data and human subjectivity and desire that fundamentally challenges notions of originality and copy. Walter Benjamin noted about photography: "one can make any number of prints [from a negative]; to ask for the 'authentic' print makes no sense" [4 p.224]. In cyberspace, I conclude, it makes no sense to ask which one is the copy.

GLOA : a new job scheduling algorithm for grid computing

The purpose of grid computing is to produce a virtual supercomputer by using free resources available through widespread networks such as the Internet. This resource distribution, changes in resource availability, and an unreliable communication infrastructure pose a major challenge for efficient resource allocation. Because of the geographical spread of resources and their distributed management, grid scheduling is considered to be a NP-complete problem. It has been shown that evolutionary algorithms offer good performance for grid scheduling. This article uses a new evaluation (distributed) algorithm inspired by the effect of leaders in social groups, the group leaders' optimization algorithm (GLOA), to solve the problem of scheduling independent tasks in a grid computing system. Simulation results comparing GLOA with several other evaluation algorithms show that GLOA produces shorter makespans.

Fog computing: a cloud to the ground support for smart things and machine-to-machine networks

Cloud services to smart things face latency and intermittent connectivity issues. Fog devices are positioned between cloud and smart devices. Their high speed Internet connection to the cloud, and physical proximity to users, enable real time applications and location based services, and mobility support. Cisco promoted fog computing concept in the areas of smart grid, connected vehicles and wireless sensor and actuator networks. This survey article expands this concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios. Our literature review identifies a handful number of articles. Cooperative data scheduling and adaptive traffic light problems in SDN based vehicular networks, and demand response management in macro station and micro-grid based smart grids are discussed. Security, privacy and trust issues, control information overhead and network control policies do not seem to be studied so far within the fog computing concept.

A framework for convergence of cloud services and Internet of things

Today, Cloud Computing and the Internet of things are two "major forces" that drive the development of new Information Technology (IT) solutions. Many Internet of things (IoT) based large-scale applications rely on a cloud platform for data processing and storage. However, big data generated or collected by large-scale geo-distributed devices needs to be transferred to the cloud, often becoming a bottleneck for the system. In this paper, we propose a framework that integrates popular cloud services with a network of loT devices. In the framework, novel methods have been designed for reliable and efficient data transportation. This framework provides a convergence of cloud services and devices that will ease the development of loT based, cloud-enabled applications. We have implemented a prototype of the framework to demonstrate the convergence of popular cloud services and IoT technologies.

Inference of personal sensors in the internet of things

Smartphone technology has become more popular and innovative over the last few years, and technology companies are now introducing wearable devices into the market. By emerging and converging with technologies such as Cloud, Internet of Things (IoT) and Virtualization, requirements to personal sensor devices are immense and essential to support existing networks, e.g. mobile health (mHealth) as well as IoT users. Traditional physiological and biological medical sensors in mHealth provide health data either periodically or on-demand. Both of these situations can cause rapid battery consumption, consume significant bandwidth, and raise privacy issues, because these sensors do not consider or understand sensor status when converged together. The aim of this research is to provide a novel approach and solution to managing and controlling personal sensors that can be used in various areas such as the health, military, aged care, IoT and sport. This paper presents an inference system to transfer health data collected by personal sensors efficiently and effectively to other networks in a secure and effective manner without burdening workload on sensor devices.

The fog computing paradigm: scenarios and security issues

Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. In this article, we elaborate the motivation and advantages of Fog computing, and analyse its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks. We discuss the state-of-the-art of Fog computing and similar work under the same umbrella. Security and privacy issues are further disclosed according to current Fog computing paradigm. As an example, we study a typical attack, man-in-the-middle attack, for the discussion of security in Fog computing. We investigate the stealthy features of this attack by examining its CPU and memory consumption on Fog device.

Combating cyber attacks in cloud computing using machine learning techniques.

An extensive investigative survey on Cloud Computing with the main focus on gaps that is slowing down Cloud adoption as well as reviewing the threat remediation challenges. Some experimentally supported thoughts on novel approaches to address some of the widely discussed cyber-attack types using machine learning techniques. The thoughts have been constructed in such a way so that Cloud customers can detect the cyber-attacks in their VM without much help from Cloud service provider