Software-defined System Research Articles

An Analysis of Load Balancing Algorithm Using Software- Defined Network

A data center is one of the secured space which serves as a house for many disks, switches, servers, routers, and several other hardware for a computer. It is a hardware solution for users who are present near the data center. Cloud Computing (CC) is the newer version of the data center which is capable of giving computer services to the users. Cloud service is the one which provides the users with data center set up when needed or preferred by the user themselves. In general cloud network service will be limited to a particular location or zone. In case if the target area of the user is near then the server will complete the action needed for the user. Only certain servers can provide service for the user in such cases some servers will remain idle. If the provided service by the servers is not used properly this may also lead to the issue of processing and managing a larger set of traffic which is one of the difficult tasks to perform. More network traffic may lead to giving more amount of pressure and complexity to the data center. In such a case Load Balancing (LB) is the preferred process for reducing the network failure and degradation process of the entire network. Software-defined networking is one the upcoming process which is capable of managing the entire network and also gives a general view about the network and its further configuration which needed to be upgraded. In this research paper, a software-defined network is developed for LB algorithms. In this paper, a Dynamic Server LB algorithm (Dserv- LB) is used for open-flow switches in the software-defined network system. This algorithm is one of the packet type LB algorithm. The request in the server is directly forwarded to the web-server with a higher level of server resources. From the result of the proposed algorithm, it was found that Dserv-LB is capable of improving the performance of the entire network and properly uses the server resource.

Distributed system of virtual machines for self-organized networks

Introduction: Active data, being fragments of executable code transmitted between the nodes of an active network, are an effectivemechanism for the operation of software-reconfigurable distributed systems. Previously, in the works devoted to active data, not enoughattention was paid to the implementation of the runtime environment (the processor) for the executable code of active data, as well asto the issues of building hypervisors and load balancing in distributed systems. Purpose: Developing principles for the construction of virtual machines with active data, providing the reconfigurability of the target devices and network flexibility in general. Evaluatingthe possibility of using the existing approaches to load balancing for networks with active data. Methods: Our study uses the principlesof software-defined system development, the conception of active data, theoretical foundations and technology of virtualization.Results: Is has been proposed to use a distributed system of virtual machines as an active data execution environment, based on theobject-oriented approach to creating distributed applications. Each node of such a distributed system of virtual machines can act aseither a control or slave node during the object interaction. Based on the developed approach, we proposed to solve the problem ofbuilding a network of repeaters using active data, considering an unmanned aerial vehicle as an element of an active info-communicationnetwork which supports the active data technology. Since a distributed system of virtual machines enables asymmetric distribution ofdecentralized network nodes, a method has been developed for a distributed system whose nodes are unmanned aerial vehicles and acontrol node, to control the asymmetry value by creating objects of various decomposition levels. Practical relevance: The proposedmethods provide a way to control the resource consumption of the nodes of a distributed software-reconfigurable network and theamount of network data transmitted. For dynamic management of the load on the network nodes, a resource manager architecture anda resource allocation algorithm are developed.

Simultaneous wavelength and format conversion in SDN/NFV for flexible optical network based on FWM in SOA

We propose an all-optical wavelength and format conversion model (CM) for a dynamic data center interconnect node and coherent passive optical network (PON) optical network unit (ONU) in software-defined networking and network function virtualization system based on four-wave mixing in a semiconductor optical amplifier. Five wavelength converted DQPSK signals and two format converted DPSK signals are generated; the performances of the generated signals for two strategies of setting CM in the data center interconnect node and coherent PON ONU, which are over 10 km fiber transmission, have been verified. All of the converted signals are with a power penalty less than 2.2 dB at FEC threshold of 3.8 × 10 − 3, and the optimum bias current of SOA is 300 mA.

ISDS: a self-configurable software-defined storage system for enterprise

ABSTRACTStorage is one of the most important aspects of IT infrastructure for various enterprises. But, enterprises are interested in more than just data storage; they are interested in such things as more reliable data protection, higher performance and reduced resource consumption. Traditional enterprise-grade storage satisfies these requirements at high cost. It is because traditional enterprise-grade storage is usually designed and constructed by customised field-programmable gate array to achieve high-end functionality. However, in this ever-changing environment, enterprises request storage with more flexible deployment and at lower cost. Moreover, the rise of new application fields, such as social media, big data, video streaming service etc., makes operational tasks for administrators more complex. In this article, a new storage system called intelligent software-defined storage (iSDS), based on software-defined storage, is described. More specifically, this approach advocates using software to replace features provided by traditional customised chips. To alleviate the management burden, it also advocates applying machine learning to automatically configure storage to meet dynamic requirements of workloads running on storage. This article focuses on the analysis feature of iSDS cluster by detailing its architecture and design.

A novel framework for software defined based secure storage systems

The Software Defined Systems (SDSys) paradigm has been introduced recently as a solution to reduce the overhead in the control and management operations of complex computing systems and to maintain a high level of security and protection. The main concept behind this technology is around isolating the data plane from the control plane. Building a Software Defined System in a real life environment is considered an expensive solution and may have a lot of risks. Thus, there is a need to simulate such systems before the real-life implementation and deployment. In this paper we present a novel experimental framework as a virtualized testbed environment for software defined based secure storage systems. Its also covers some related issues for large scale data storage and sharing such as deduplication. This work builds on the Mininet simulator, where its core components, the host, switch and the controller, are customized to build the proposed experimental simulation framework. The developed emulator, will not only support the development and testing of SD-based secure storage solutions, it will also serve as an experimentation tool for researchers and for benchmarking purposes. The developed simulator/emulator could also be used as an educational tool to train students and novice researchers.

Efficient and secure software-defined mobile cloud computing infrastructure

This paper proposes an efficient software-based data possession mobile cloud computing framework. The proposed design combines the characteristics of two frameworks. The first one is the provable data possession design built for resource constrained mobile devices and it uses the advantage of trusted computing technology, and the second framework is a lightweight resilient storage outsourcing design for mobile cloud computing systems. The proposed solution utilises the strength aspects found in each framework in order to gain better performance and maintain adequate and comparable security. The proposed framework is a software-defined system, encompassing software-defined storage SDStore and software-defined security SDSec. The evaluation and comparison results showed that our proposed system has better flexibility and efficiency than other related frameworks, individually.

More than a programming language [virtual instrumentation

A virtual instrument system is a software-defined system, where software based on user requirements defines the functionality of generic measurement hardware. Using the virtual instrumentation concept, an engineer can use software running on a computer, combined with instrumentation hardware, to define a custom, built-to-order test and measurement solution. The vision of virtual instrumentation has revolutionised the way engineers and scientists work, delivering faster development time, lower costs and greater flexibility.