Classification of traffic over collaborative IoT and Cloud platforms using deep learning recurrent LSTM

Internet of Things (IoT) and cloud based collaborative platforms are emerging as new infrastructures during recent decades. The classification of network traffic in terms of benign and malevolent traffic is indispensable for IoT-cloud based collaborative platforms to utilize the channel capacity optimally for transmitting the benign traffic and to block the malicious traffic. The traffic classification mechanism should be dynamic and capable enough to classify the network traffic in a quick manner, so that the malevolent traffic can be identified in earlier stages and benign traffic can be channelized to the destined nodes speedily. In this paper, we are presenting deep learning recurrent LSTM based technique to classify the traffic over IoT-cloud platforms. Machine learning techniques (MLTs) have also been employed for comparison of the performance of these techniques with the proposed LSTM RNet classification method. In the proposed research work, network traffic is classified into three classes namely Tor-Normal, NonTor-Normal and NonTor-Malicious traffic. The research outcome shows that the proposed LSTM RNet classify the traffic accurately and also helps in reducing the network latency and in enhancing the data transmission rate as well as network throughput

Cloud Service Brokerage: A systematic literature review using a software development lifecycle

Cloud Service Brokerage (CSB) is an emerging technology that has become popular with cloud computing. CSB is a middleman providing value added services, developed using standard software development lifecycle, from cloud providers to consumers. This paper provides a systematic literature review on this topic, covering 41 publications from 2009 to 2015. The paper aims to provide an overview of CSB research status, and give suggestions on how CSB research should proceed. A descriptive analysis reveals a lack of contributions from the Information Systems discipline. A software development lifecycle analysis uncovers a severe imbalance of research contributions across the four stages of software development: design, develop, deploy, and manage. The majority of research contributions are geared toward the design stage with a minimal contribution in the remaining stages. As such, we call for a balanced research endeavor across the cycle given the equal importance of each stage within the CSB paradigm

QoS-Aware Resource Management in SDN-Based InterClouds: A Software Cybernetics Perspective

Software Defined Networking (SDN) paradigm is introducing novel approaches for many unresolved issues of networking. These new outlooks are imperative in emerging scenarios where user requirements keep growing, the required bandwidth keeps increasing, and so does the variety of applications (e.g. Big data analytics) that suggest the network plays a more prominent role. As such, our research aims to provide a novel adaptive (self-tuning) resource management technique in SDN-based InterCloud environments. A quality of service (QoS) policy control framework is presented by modelling QoS-aware resource management as an adaptive control problem, and using principles in coalition games with externalities or partition form games (PFGs) as control mechanism. This on-going work outlines a proposed dynamic programming and anytime approach (Integer partition based) to solve the multi-criteria optimisation problem of a Markov decision process (MDP) model for system dynamics in SDN-based InterClouds

Software-Defined Networks for Future Networks and Services: Main Technical Challenges and Business Implications

In 2013, the IEEE Future Directions Committee (FDC) formed an SDN work group to explore the amount of interest in forming an IEEE Software-Defined Network (SDN) Community. To this end, a Workshop on "SDN for Future Networks and Services" (SDN4FNS'13) was organized in Trento, Italy (Nov. 11th-13th 2013). Following the results of the workshop, in this paper, we have further analyzed scenarios, prior-art, state of standardization, and further discussed the main technical challenges and socio-economic aspects of SDN and virtualization in future networks and services. A number of research and development directions have been identified in this white paper, along with a comprehensive analysis of the technical feasibility and business availability of those fundamental technologies. A radical industry transition towards the "economy of information through softwarization" is expected in the near future

Estado del arte sobre Frameworks de infraestructura para Big Data

En la actualidad, el análisis Big Data se ha convertido en un gran reto para las organizaciones educativas, gubernamentales y comerciales, esto debido a la gran cantidad de datos procesados, por lo tanto resulta muy difícil llevar a cabo los diferentes procesos de análisis con herramientas de bases de datos y analíticas convencionales. Las tendencias Big Data traen consigo una gran cantidad de herramientas y aplicaciones que han sido desarrolladas específicamente para el apoyo al crecimiento de dicha tecnología para el análisis de datos, algunas de éstas trabajan en conjunto en soluciones de arquitecturas ya implementadas en las que se fundamenta gran parte de este trabajo monográfico, sintetizando la información necesaria para generar una propuesta de una arquitectura Big Data. Este trabajo pretende mostrar los componentes necesarios de infraestructura para brindar soporte al análisis Big Data basados en soluciones implementadas por los proveedores más conocidos, tomando como referencia modelos, diagramas y herramientas de software, enfocadas a los distintos despliegues que se puedan generar con base a unos requerimientos específicos, obteniendo como resultado una solución para una arquitectura Big Data utilizando las características de los escenarios propuestos en este trabajo

Plan de contrôle SDN décentralisé pour une intrastructure Cloud-Edge: une étude survey

Today’s emerging needs (Internet of Things applications, Network Function Virtualization services, Mobile Edge computing, etc.) are challenging the classic approach of deploying a few large data centers to provide cloud services. A massively distributed Cloud-Edge architecture could better fit the requirements and constraints of these new trends by deploying on-demand infrastructure services in Point-of-Presences within backbone networks. A key feature in this context is the establishment of connectivity among several virtual infrastructure managers in charge of operating, each one, a subset of the infrastructure. After explaining the networking challenges related to distributed Cloud-Edge infrastructures, this article surveys and analyzes the characteristics and limitations of existing technologies in the field of Software Defined Network that could be used to provide the inter-site connectivity feature. This survey is concluded by discussing some research directions

A Comprehensive Review on Adaptability of Network Forensics Frameworks for Mobile Cloud Computing

Network forensics enables investigation and identification of network attacks through the retrieved digital content. The proliferation of smartphones and the cost-effective universal data access through cloud has made Mobile Cloud Computing (MCC) a congenital target for network attacks. However, confines in carrying out forensics in MCC is interrelated with the autonomous cloud hosting companies and their policies for restricted access to the digital content in the back-end cloud platforms. It implies that existing Network Forensic Frameworks (NFFs) have limited impact in the MCC paradigm. To this end, we qualitatively analyze the adaptability of existing NFFs when applied to the MCC. Explicitly, the fundamental mechanisms of NFFs are highlighted and then analyzed using the most relevant parameters. A classification is proposed to help understand the anatomy of existing NFFs. Subsequently, a comparison is given that explores the functional similarities and deviations among NFFs. The paper concludes by discussing research challenges for progressive network forensics in MCC

A Comprehensive Review on Adaptability of Network Forensics Frameworks for Mobile Cloud Computing

Network forensics enables investigation and identification of network attacks through the retrieved digital content. The proliferation of smartphones and the cost-effective universal data access through cloud has made Mobile Cloud Computing (MCC) a congenital target for network attacks. However, confines in carrying out forensics in MCC is interrelated with the autonomous cloud hosting companies and their policies for restricted access to the digital content in the back-end cloud platforms. It implies that existing Network Forensic Frameworks (NFFs) have limited impact in the MCC paradigm. To this end, we qualitatively analyze the adaptability of existing NFFs when applied to the MCC. Explicitly, the fundamental mechanisms of NFFs are highlighted and then analyzed using the most relevant parameters. A classification is proposed to help understand the anatomy of existing NFFs. Subsequently, a comparison is given that explores the functional similarities and deviations among NFFs. The paper concludes by discussing research challenges for progressive network forensics in MCC

Decentralized SDN Control Plane for a Distributed Cloud-Edge Infrastructure: A Survey

International audienceToday’s emerging needs (Internet of Things applications, Network Function Virtualization services, Mobile Edge computing, etc.) are challenging the classic approach of deploying a few large data centers to provide cloud services. A massively distributed Cloud-Edge architecture could better fit these new trends’ requirements and constraints by deploying on-demand infrastructure services in Point-of-Presences within backbone networks. In this context, a key feature is establishing connectivity among several resource managers in charge of operating, each one a subset of the infrastructure. After explaining the networking management challenges related to distributed Cloud-Edge infrastructures, this article surveys and analyzes the characteristics and limitations of existing technologies in the Software Defined Network field that could be used to provide the intersite connectivity feature. We also introduce Kubernetes, the new de facto container orchestrator platform, and analyze its use in the proposed context. This survey is concluded by providing a discussion about some research directions in the field of SDN applied to distributed Cloud-Edge infrastructures’ management

Mobile Oriented Future Internet (MOFI)

This Special Issue consists of seven papers that discuss how to enhance mobility management and its associated performance in the mobile-oriented future Internet (MOFI) environment. The first two papers deal with the architectural design and experimentation of mobility management schemes, in which new schemes are proposed and real-world testbed experimentations are performed. The subsequent three papers focus on the use of software-defined networks (SDN) for effective service provisioning in the MOFI environment, together with real-world practices and testbed experimentations. The remaining two papers discuss the network engineering issues in newly emerging mobile networks, such as flying ad-hoc networks (FANET) and connected vehicular networks