• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39B no.6
• /
• pp.414-423
• /
• 2014

The number and size of resource constituting the web page has been increasing steadily, and this circumstance leads to rapidly falling quality of web service in mobile network that offer relatively higher delay. Moreover, Improving the quality of a web services protocol is difficult to provide network function because the current network architecture has closed structure. In this paper, we suggest schemes to enhance web performance in mobile network, which are Check Coded DOM scheme and Functional JavaScript Transmission scheme, and then try to seek idea which can be provided suggested schemes as a network function using NFV(Network Function Virtualization). For the performance evaluation and analysis about the suggested schemes, we perform network simulation using SMPL library. We confirm that suggested schemes offer better performance in term of page loading time, the number of message and the amount of traffic in the network than HTTP Protocol.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.7
• /
• pp.2257-2285
• /
• 2022

Cyber-physical systems (CPS) have been growing exponentially due to improved cloud-datacenter infrastructure-as-a-service (CDIaaS). Incremental expandability (scalability), Quality of Service (QoS) performance, and reliability are currently the automation focus on healthy Tier 4 CDIaaS. However, stable QoS is yet to be fully addressed in Cyber-physical data centers (CP-DCS). Also, balanced agility and flexibility for the application workloads need urgent attention. There is a need for a resilient and fault-tolerance scheme in terms of CPS routing service including Pod cluster reliability analytics that meets QoS requirements. Motivated by these concerns, our contributions are fourfold. First, a Distributed Non-Recursive Cloud Model (DNRCM) is proposed to support cyber-physical workloads for remote lab activities. Second, an efficient QoS stability model with Routh-Hurwitz criteria is established. Third, an evaluation of the CDIaaS DCN topology is validated for handling large-scale, traffic workloads. Network Function Virtualization (NFV) with Floodlight SDN controllers was adopted for the implementation of DNRCM with embedded rule-base in Open vSwitch engines. Fourth, QoS evaluation is carried out experimentally. Considering the non-recursive queuing delays with SDN isolation (logical), a lower queuing delay (19.65%) is observed. Without logical isolation, the average queuing delay is 80.34%. Without logical resource isolation, the fault tolerance yields 33.55%, while with logical isolation, it yields 66.44%. In terms of throughput, DNRCM, recursive BCube, and DCell offered 38.30%, 36.37%, and 25.53% respectively. Similarly, the DNRCM had an improved incremental scalability profile of 40.00%, while BCube and Recursive DCell had 33.33%, and 26.67% respectively. In terms of service availability, the DNRCM offered 52.10% compared with recursive BCube and DCell which yielded 34.72% and 13.18% respectively. The average delays obtained for DNRCM, recursive BCube, and DCell are 32.81%, 33.44%, and 33.75% respectively. Finally, workload utilization for DNRCM, recursive BCube, and DCell yielded 50.28%, 27.93%, and 21.79% respectively.

• KNOM Review
• /
• v.22 no.1
• /
• pp.1-10
• /
• 2019

The process to determine the required number of resources depends on the factors being considered. Autoscaling is one such mechanism that uses a wide range of factors to decide and is a critical process in NFV. As the networks are being shifted onto the cloud after the invention of SDN, we require better resource managers in the future. To solve this problem, we propose a solution that allows the VNFMs to autoscale the system resources depending on the factors such as overhead of hyperthreading, number of requests, execution-times for the virtual network functions. It is a known fact that the hyperthreaded virtual-cores are not fully capable of performing like the physical cores. Also, as there are different types of core having different frequencies so the process to calculate the number of cores needs to be measured accurately and precisely. The platform independency is achieved by proposing another solution in the form of a monitoring microservice, which communicates through APIs. Hence, by the use of our autoscaling application and a monitoring microservice, we enhance the resource provisioning process to meet the criteria of future networks.

• Journal of Information Processing Systems
• /
• v.13 no.3
• /
• pp.546-558
• /
• 2017

The amount of multimedia traffic over the Internet has been increasing because of the development of networks and mobile devices. Accordingly, studies on multicast, which is used to provide efficient multimedia and video services, have been conducted. In particular, studies on centralized multicast tree construction have attracted attention with the advent of software-defined networking. Among the centralized multicast tree construction algorithms, the group Takahashi and Matsuyama (GTM) algorithm is the most commonly used in multiple multicast tree construction. However, the GTM algorithm considers only the network-cost overhead when constructing multicast trees; it does not consider the temporary service disruption that arises from a link change for users receiving an existing service. Therefore, in this study, we propose a multiple multicast tree construction algorithm that can reduce network cost while avoiding considerable degradation of service quality to users. This is accomplished by considering both network-cost and link-change overhead of users. Experimental results reveal that, compared to the GTM algorithm, the proposed algorithm significantly improves the user-experienced quality of service by substantially reducing the number of linkchanged users while only slightly adding to the network-cost overhead.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.23 no.2
• /
• pp.106-114
• /
• 2020

NCW which is shaping favorable conditions with obtaining initiative through superiority in C2 and information sharing is critical to the result of the war in a modern warfare. An important requirement to attain superiority through an effective networking in a war-environment is to apply QoS to ensure priority in supporting critical mission and services. In order to obtain an effective NCOE through JCS-led QoS support, standard doucments have been reviewed and analyzed to understand the current level of technology and development. In addition, QoS-related policy documents which is currently being applied by the ROK armed forces have been analyzed to substantiated the JCS-led QoS model and propose the directions of development and enhancement required in the realm of technology, policy and system.

• Information and Communications Magazine
• /
• v.33 no.5
• /
• pp.3-11
• /
• 2016

자연계에서 존재하는 다양한 생명체는 자신들의 생존과 종의 번성을 위해 효율적인 행동 규칙을 만들어 진화해 왔다. 이러한 생명체의 다양한 생존원리로부터 착안을 하여 자연계가 아닌 다른 환경에서 적용이 가능하도록 알고리즘을 만들어 적용시키는 것을 생체모방 알고리즘이라 한다. 자연계의 환경자체가 불확실한 변화가 다양하게 포함되고 있으며, 제한된 자원 환경을 어떻게 효율적으로 활용하는가의 문제가 걸려 있음으로 인하여 이러한 생체모방 알고리즘은 적용환경의 변환에 빠른 적응력을 제공할 수 있고, 자원 제약형 환경에서 안정적으로 확장성과 적응성을 제공할 수 있어서 상호 운용성 측면에서 많은 이득을 줄 수 있다. 이와 같은 생체모방 알고리즘을 네트워크의 관점에서 적용시켜 보면, 전자의 경우에는 자율적인 네트워크 구성을 용이하게 제공할 수 있음을 나타내고, 후자의 경우에는 IoT 환경과 같은 자원 제약형 환경에서의 상호 운용성을 제공할 수 있다. 이렇듯이 생체모방 알고리즘을 네트워크에 접목시켜 연구하는 것은 최근의 네트워크 분야의 연구 이슈와 상호 보완적으로 작용하여 시너지 효과를 제공할 수 있다. 자연계의 군집 현상 및 동기화 현상을 네트워크 환경에서 적용하여 사용할 수 있는 생체모방 알고리즘 기술은 다양하게 존재하고 있으며 이를 활용하는 연구를 통해 SDN(Software Defined Networking)에서의 자율제어 네트워크 구성에 접목하거나 IoT 환경과 같은 자원 제약형 환경에서의 보다 효율적인 상호 연결성을 제공하는 방향으로 발전할 수 있다. 이러한 생체모방 자율제어 네트워크 환경 구현을 위해 기존의 OpenFlow 환경과 새로이 부각되는 P4: Programming Protocol-Independent Packet Processors 기술에 대해서 정리하여 향후 생체모방 자율제어 네트워크 구현 방안을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.10a
• /
• pp.133-135
• /
• 2018

In these days, providing flexible and personalized network services subject to customers' requirements becomes an interesting issue for network service providers. Moreover, because each network service provider own finite network resources and infrastructure, dynamic network provisioning is essential to leverage the limited network resources efficiently and effectively for supporting personalized network services. Recently, as the population of mobile devices increases, the location-awareness becomes as important as the QoS-awareness to provision a network service dynamically. In this paper, we propose a framework for providing location-aware dynamic network services. This framework includes the web user interface for obtaining customers' requirements such as locations and QoS, the network generator for mapping the requested locations and network infrastructure, the network path calculator for selecting routes to meet the requested QoS and the network controller for deploying a prepared network services into SDN(Software-Defined Networking) enabled network infrastructure.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.11
• /
• pp.5404-5424
• /
• 2018

This work is mainly focused on two major topics in cloud platforms by using OpenStack as a case study: management and provisioning of resources to meet the requirements of a service demanded by remote end-user and relocation of virtual machines (VMs) requests to offload the encumbered compute nodes. The general framework architecture contains two subsystems: 1) An orchestrator that allows to systematize provisioning and resource management in OpenStack, and 2) A resource utilization based subsystem for vibrant VM relocation in OpenStack. The suggested orchestrator provisions and manages resources by: 1) manipulating application program interfaces (APIs) delivered by the cloud supplier in order to allocate/control/manage storage and compute resources; 2) interrelating with software-defined networking (SDN) controller to acquire the details of the accessible resources, and training the variations/rules to manage the network based on the requirements of cloud service. For resource provisioning, an algorithm is suggested, which provisions resources on the basis of unused resources in a pool of VMs. A sub-system is suggested for VM relocation in a cloud computing platform. The framework decides the proposed overload recognition, VM allocation algorithms for VM relocation in clouds and VM selection.

• KNOM Review
• /
• v.22 no.3
• /
• pp.13-19
• /
• 2019

Network anomaly detection is a technology that collects information about flows on a network and detects malicious attacks occurring in a network in real time. In-band Network Telemetry (INT) technology provides more detailed information in real time, that is not provided by existing networks, such as hop latency and queue occupancy. In this paper, we propose the method to implement an anomaly detection system with higher performance by using INT as an input feature of machine learning and verify it through experiments.

• Journal of Internet of Things and Convergence
• /
• v.2 no.2
• /
• pp.37-49
• /
• 2016

An IP address is used as a host identifier and a locator to bind hosts and applications to their location in existing Internet. Several protocols are proposed to eliminate this binding. Most of these protocols use IPv6-based host identifiers to maintain compatibility with existing Internet, but these identifiers cannot be handled by standard IPv6 routers because such identifiers are unroutable. Therefore, host identifiers need to be usually converted to locators at hosts, and the standard IPv6 protocol should be modified to interoperate with these protocols. In this paper, we propose a network-based host identifier locator separating scheme in software-defined networking. The proposed scheme separates the underlying network into Host Identity and IP domains in order to directly forward unroutable identifiers. The Host Identity domain operates as an overlaid network over IP domain, and it makes the unroutable identifiers to be routable using distributed hash table based routing strategy. For the evaluation, we compared the proposed scheme with the previous scheme using signaling costs and packet delivery costs. The result shows that the proposed scheme is more suitable in the recent mobile-based environments.