28,618 research outputs found
Service Virtualisation of Internet-of-Things Devices: Techniques and Challenges
Service virtualization is an approach that uses virtualized environments to
automatically test enterprise services in production-like conditions. Many
techniques have been proposed to provide such a realistic environment for
enterprise services. The Internet-of-Things (IoT) is an emerging field which
connects a diverse set of devices over different transport layers, using a
variety of protocols. Provisioning a virtual testbed of IoT devices can
accelerate IoT application development by enabling automated testing without
requiring a continuous connection to the physical devices. One solution is to
expand existing enterprise service virtualization to IoT environments. There
are various structural differences between the two environments that should be
considered to implement appropriate service virtualization for IoT. This paper
examines the structural differences between various IoT protocols and
enterprise protocols and identifies key technical challenges that need to be
addressed to implement service virtualization in IoT environments.Comment: 4 page
PROTECT: container process isolation using system call interception
Virtualization is the underpinning technology enabling cloud computing service provisioning, and container-based virtualization provides an efficient sharing of the underlying host kernel libraries amongst multiple guests. While there has been research on protecting the host against compromise by malicious guests, research on protecting the guests against a compromised host is limited. In this paper, we present an access control solution which prevents the host from gaining access into the guest containers and their data. Using system call interception together with the built-in AppArmor mandatory access control (MAC) approach the solution protects guest containers from a malicious host attempting to compromise the integrity of data stored therein. Evaluation of results have shown that it can effectively prevent hostile access from host to guest containers while ensuring minimal performance overhead
Cloud Ready Desktop Virtualization Solution
Cloud computing is a relatively new set of technologies that can allow businesses to easily scale their computing resources and improve responsiveness to customer needs. This has held true for application, server, and desktop virtualization. Desktop virtualization in particular provides a means to solve many of the traditional challenges associated with deploying and maintaining large business workstation environments, including centralized data management, rapid deployment of workstations, and centralized updating. VMware, a longtime leader in the virtualization sector, offers a desktop virtualization platform that is widely considered to be the best in class. This paper explores the process of building a desktop virtualization solution using VMware View, a cloud-ready desktop virtualization solution from VMware
Dynamic resource management in SDN-based virtualized networks
Network virtualization allows for an abstraction between user and physical resources by letting a given physical infrastructure to be shared by multiple service providers. However, network virtualization presents some challenges, such as, efficient resource management, fast provisioning and scalability. By separating a network's control logic from the underlying routers and switches, software defined networking (SDN) promises an unprecedented simplification in network programmability, management and innovation by service providers, and hence, its control model presents itself as a candidate solution to the challenges in network virtualization. In this paper, we use the SDN control plane to efficiently manage resources in virtualized networks by dynamically adjusting the virtual network (VN) to substrate network (SN) mappings based on network status. We extend an SDN controller to monitor the resource utilisation of VNs, as well as the average loading of SN links and switches, and use this information to proactively add or remove flow rules from the switches. Simulations show that, compared with three state-of-art approaches, our proposal improves the VN acceptance ratio by about 40% and reduces VN resource costs by over 10%
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