Adaptive buffer control to minimise delay and guarantee service reliability

Kang, Kyungtae; Suh, Hyo-Joong

doi:10.1049/iet-com.2010.0070

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…As shown in figures 3 and 5, OLSR performs better and gives little variation when the traffic load increases. Until 30 connections, all studied routing protocols perform identically but when the traffic load increases, OLSR performs better for delay and jitter [9]. However, routing load is higher (see figures 7 and 8) because it periodically sends routing packets in order to maintain the routing table up-to-date.…”

Section: Resultsmentioning

confidence: 99%

“…This model must take into consideration all challenges imposed by Ad-hoc networks, like network topology change due to the mobility of its nodes, constraints of reliability [9] and energy consumption [10], so it describes a set of services that allow users to select a number of safeguards (guarantees) that govern such properties as time, reliability, etc. New requirements (needs) for multimedia and real-time applications require few delay [9] and very high data rates which require (oblige) the use of new routing protocols supporting QoS. The AODV protocol (Ad-hoc on demand Distance Vector) is a reactive routing protocol based on the distance vector Principle, combining unicast and multicast [11] routing.…”

Section: Related Workmentioning

confidence: 99%

“…However, connection loss may occur due to interference, which can cause the transmission routes to become out-of-date and inaccurate. This can then result in a serious damage in terms of global network throughput and delay [9]. Different protocols are then evaluated based on measure such as the packet drop rate, the overhead introduced by the routing protocol, end-to-end packet delays, network throughput etc., thus it is quite necessary to study the performance of QoS [5] parameters for both types of routing protocols vis-à-vis reactive routing and proactive routing protocols .…”

Section: Our Proposalmentioning

confidence: 99%

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To improve the QoS in MANETs through analysis between reactive and proactive routing protocols

Kapoor¹,

Sharma²

2011

CSEIJ

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A Mobile Ad hoc NETwork (MANET), is a self-configuring infra structure less network of mobile devices connected by wireless links. ad hoc is Latin and means "for this purpose". Each device in a MANET is free to move independently in any direction, and will therefore change its links to other devices frequently. Each must forward traffic unrelated to its own use, and therefore be a router. The primary challenge in building a MANET is equipping each device to continuously maintain the information required to properly route traffic. QOS is defined as a set of service requirements to be met by the network while transporting a packet stream from source to destination. Intrinsic to the notion of QOS is an agreement or a guarantee by the network to provide a set of measurable pre-specified service attributes to the user in terms of

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Our Proposalmentioning

confidence: 99%

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To improve the QoS in MANETs through analysis between reactive and proactive routing protocols

Kapoor¹,

Sharma²

2011

CSEIJ

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“…To avoid crashing the computer, the attack program continuously creates and closes the windows calculator copies. The attack program first creates 15 copies of the windows calculator and then closes 5 copies and creates another 5 copies instantaneously so that there are always [15][16][17][18][19][20] open copies. This constant process of creating and closing the windows calculator consumes large amounts of system resources and delays or stops the creation of legitimate new processes on the server computer.…”

Section: The Set Of Experiments With Voice Communication Data Encrypmentioning

confidence: 99%

System impact characteristics of cyber services, security mechanisms, and attacks with implications in cyber system survivability

Aranda

Hurley

2013

Information Knowledge Systems Management

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Three types of activities may run on computer and network systems at the same time: services, security mechanisms, and attacks. Computer and network systems should sustain legitimate cyber services even under attacks. In this study, system impacts of services, security mechanisms and attacks are investigated and used to develop strategies for system survivability. Experiments are conducted to collect system dynamics data under two services of voice communication and motion detection, two security mechanisms of data encryption and intrusion detection, and five cyber attacks. Statistical analyses are performed on the experimental data to identify system-wide impacts of services, security mechanisms and attacks on system activities, state and performance. The analytical results reveal the system impact characteristics of these services, security mechanisms, and attacks on IO and file operations and bytes, page and cache faults, memory usage, CPU usage, and network traffic. The competition for system resources by all the activities in the system manifests themselves predominantly in their competition for limited CPU time. This competition for limited CPU time can be used as a strategy to ensure system survivability by increasing the activity level of legitimate services to leave less CPU time for attacks and thus suppress the level and system impacts of attacks while sustaining CPU time for legitimate services. N. Ye et al. / System impact characteristics of cyber services, security mechanisms, and attacks with implicationswe are looking into ways of making tradeoffs within limits of given system resources based on impacts of services, security mechanisms and attacks on system activities, resource state, and process performance. Services, security mechanisms and attacks drive system activities which change the state of system resources. Changes in the state of system resources affect the performance of processes, including service and security processes, and thus affect quality of service (QoS) and quality of protection (QoP) or quality of information assurance (QoIA). Hence, we investigate system impacts of services, security mechanisms and attacks by examining cause-effect chains of system activities, resource state and process performance [1,8-10] driven by services, security mechanisms, attacks, and their parameters. We also explore the implications of those system impacts to develop strategies for system survivability.System impacts of services, security mechanism and attacks in the form of activity-state-performance chains are not well understood at the system scale, especially under services, security mechanisms and attacks simultaneously. Such cause-effect chains are not readily available from the design of system and application software which provides mostly algorithm-based operational models. There are studies on resource and performance impacts, e.g., those on disk load variation and file transfer time [11], resource usage models in a computational grid environment [12], CPU load parameters and utilizatio...

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Adaptive buffer control to minimise delay and guarantee service reliability

Cited by 2 publications

References 11 publications

To improve the QoS in MANETs through analysis between reactive and proactive routing protocols

To improve the QoS in MANETs through analysis between reactive and proactive routing protocols

System impact characteristics of cyber services, security mechanisms, and attacks with implications in cyber system survivability

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