Attempt TCP ACK-Storm Based Virtual Network Attacks and Defence Solutions

The rapid development of the digital age has been pushing people to access a mobile working environment when handsets are becoming more diverse and convenient with the help of Virtualization Technology. The speed and usability of Virtualization Technology are astounding for saving initial investment costs and optimizing IT infrastructure. Such Virtualization Technology is what businesses are interested in and makes the virtual server market growing strongly, especially for businesses that have many branches. However, virtual systems (hypervisors) are more vulnerable than traditional servers according due to many network attacks from curious users. Therefore, it's necessary to prepare for the worst circumstances, understand clearly, and research for new threats that can break down the virtual system. In this paper, we attempt to demonstrate the TCP ACK storm based DoS (Denial of Service) attack on virtual and Docker networks to show the threats that easily are happen on services deploying on virtual networks. Based on such consequence, we propose some solutions to prevent our virtual system from potential risks.

A comprehensive survey on container resource allocation approaches in cloud computing: State-of-the-art and research challenges

The allocation of resources in the cloud environment is efficient and vital, as it directly impacts versatility and operational expenses. Containers, like virtualization technology, are gaining popularity due to their low overhead when compared to traditional virtual machines and portability. The resource allocation methodologies in the containerized cloud are intended to dynamically or statically allocate the available pool of resources such as CPU, memory, disk, and so on to users. Despite the enormous popularity of containers in cloud computing, no systematic survey of container scheduling techniques exists. In this survey, an outline of the present works on resource allocation in the containerized cloud correlative is discussed. In this work, 64 research papers are reviewed for a better understanding of resource allocation, management, and scheduling. Further, to add extra worth to this research work, the performance of the collected papers is investigated in terms of various performance measures. Along with this, the weakness of the existing resource allocation algorithms is provided, which makes the researchers to investigate with novel algorithms or techniques.

Implementation Of Docker Container On Local Network By Applying Reverse Proxy

Virtualization is an implementation of a software. Virtualization technology has changed the direction of the computer industrial revolution by reducing capital costs and operating costs. The availability of a virtualization will also increase the availability of higher services and data protection mechanisms. Docker is configured to create multiple containers on a network, each container containing one image. The three containers will be created in one compose where each container is connected to each other for WordPress configuration and two composers will be created. Furthermore, from each compose a reverse proxy configuration is carried out which aims to set a different domain address. Lighten computer performance and can reduce the required storage so as to make hosting more effective and efficient. Containers also provide a security advantage over complete control over management running on separate, isolated containers.

Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling

As Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices are becoming increasingly popular in the era of the Fourth Industrial Revolution, the orchestration and management of numerous fog devices encounter a scalability problem. In fog computing environments, to embrace various types of computation, cloud virtualization technology is widely used. With virtualization technology, IoT and IIoT tasks can be run on virtual machines or containers, which are able to migrate from one machine to another. However, efficient and scalable orchestration of migrations for mobile users and devices in fog computing environments is not an easy task. Naïve or unmanaged migrations may impinge on the reliability of cloud tasks. In this paper, we propose a scalable fog computing orchestration mechanism for reliable cloud task scheduling. The proposed scalable orchestration mechanism considers live migrations of virtual machines and containers for the edge servers to reduce both cloud task failures and suspended time when a device is disconnected due to mobility. The performance evaluation shows that our proposed fog computing orchestration is scalable while preserving the reliability of cloud tasks.