OPTIMALISASI JARINGAN INTERNET DENGAN LOAD BALANCING PADA HIGH TRAFFIC NETWORK

In recent years, the Internet became an important human need in the modern times. In 2019 the number of internet users in Indonesia reached 73.7% of the population as a whole and an increase of 8.9% from the previous year. In State Islamic High School Sidoarjo already provides internet services but existing bandwidth is not distributed evenly between ISP1 and ISP2. In this research, a Load balancing technique is carried out using the Per Connection Classifier (PCC) method. This method divides and classify the data packets to the Gateway connection. QoS Testing was performed using four parameters : Throughput, Jitter, Delay, and Packet Loss are taken the average value by measuring before and after Load balancing. Before Load balancing the uploads and downloads are 19.01 and 19.87 Mbps. From the results of testing the two domain, namely www.google.com and www.youtube.com the Delay was 55 and 39 ms, Jitter was 8 and 17 ms, and Packet Loss was 1% and 19%. Whereas after Load balancing is applied the uploads and downloads are 199.00 and 134.87 Mbps. From the results of testing two domains, the Delay is 21 and 24 ms, both Jitter is 0 ms, and both Packet Loss is 0%.

Sinkhole Attack Detection and Prevention using Agent Based Algorithm

This study presents sinkhole attack detection and prevention using agent-based algorithm. In this algorithm, agents are used to provide information to all node from its reliable neighbors by negotiation in three steps, thus nodes may not be able to pay the attention to the traffic made by sinkhole attacker. In this work, network scale of 500×500 m2 square areas have been considered. Series of simulation are carried in each experiment. Every simulation run is being organized to work for 10mins. Network performance is evaluated in terms of throughput, packet delivery ratio, jitter, delay in packets delivery, data packets received, data packets drop using network simulations software. Network simulation results depicts that in proposed algorithm, throughput increases by 15 to 20 percent, packet delivery ratio increases by 30 to 40%, decrease in the jitter by 10 to 15 %, delay in packets delivery is decreased by 15 to 20 %, data packets received are increased by 15 to 20 % and number of the data packets drop are decreased by 5 to 15 %. Based on simulation results throughput, packet delivery ratio and data packets received increased in proposed agent-based algorithm. However, it is observed that, jitter, delay in packets delivery and data packets drop were decreased.

BGP Neighbor Trust Establishment Mechanism Based on the Bargaining Game

The Border Gateway Protocol (BGP) is the standard inter-domain route protocol on the Internet. Autonomous System (AS) traffic is forwarded by the BGP neighbors. In the route selection, if there are malicious or inactive neighbors, it will affect the network’s performance or even cause the network to crash. Therefore, choosing trusted and safe neighbors is an essential part of BGP security research. In response to such a problem, in this paper we propose a BGP Neighbor Trust Establishment Mechanism based on the Bargaining Game (BNTE-BG). By combining service quality attributes such as bandwidth, packet loss rate, jitter, delay, and price with bargaining game theory, it allows the AS to select trusted neighbors which satisfy the Quality of Service independently. When the trusted neighbors are forwarding data, we draw on the gray correlation algorithm to calculate neighbors’ behavioral trust and detect malicious or inactive BGP neighbors.

Fog vs. Cloud Computing Architecture

Cloud computing has emerged as a new technology that allows the users to acquire resources at anytime, anywhere by connecting with internet. It provides the options to users for renting of infrastructure, storage space, and services. One service issue that affects the QoS of cloud computing is network latency while dealing with real-time application. In this, the user interacts directly with application but delays in receiving the services, and jitter delay will encourage the user to think about this. In today's world, clients are moving towards the IoT techniques, enabling them to connect all things with internet and get their services from cloud. This advancement requires introduction of new technology termed as “fog computing.” Fog computing is an extension of cloud computing that provides the service at the edge of the network. Its proximity to end users, mobility support, and dense distribution reduces the service latency and improves QoS. This fog model provides the prosperity for advertisement and entertainment and is well suited for distributed data model.

Performance of V2oIP Application via VANET

In Vehicular ad hoc network (VANET), vehicles are connected and communicated among themselves with different purpose, which move at their relative high speed. Much of the focus surrounding VANET has targeted the framework, model, environment or protocols. Few performance analysis studies have been carry out on V2OIP application at rural and urban area. The present paper set out to study the performance analysis of V2oIP applications between users in different distance and range. The performance are measures on jitter, delay and MOS of the applications; video call, video streaming and video conferencing. Several recommendations are highlighted related to pursue in testing on other rural and urban areas, ISPs, number of users, network monitoring tools or video and voice activities.

Fog vs. Cloud Computing Architecture

Cloud computing has emerged as a new technology that allows the users to acquire resources at anytime, anywhere by connecting with internet. It provides the options to users for renting of infrastructure, storage space, and services. One service issue that affects the QoS of cloud computing is network latency while dealing with real-time application. In this, the user interacts directly with application but delays in receiving the services, and jitter delay will encourage the user to think about this. In today's world, clients are moving towards the IoT techniques, enabling them to connect all things with internet and get their services from cloud. This advancement requires introduction of new technology termed as “fog computing.” Fog computing is an extension of cloud computing that provides the service at the edge of the network. Its proximity to end users, mobility support, and dense distribution reduces the service latency and improves QoS. This fog model provides the prosperity for advertisement and entertainment and is well suited for distributed data model.