Adaptive connection admission control for mission critical real-time communication networks

Devalla, B.; Sahoo, Anirudha; Guan, Yong Liang; Li, C.; Bettati, Riccardo; Zhao, Wei

doi:10.1109/milcom.1998.722200

Cited by 9 publications

(7 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, a video-on-demand application may be willing to accept a lower QoS (in terms of lesser bandwidth, jitter, etc.) to send video frames of poorer quality rather than send no frame at all (Aderounmu, Ogwu, & Onifade, 2004;Devalla et al, 1999).…”

Section: Background Studymentioning

confidence: 99%

Sustaining Negotiated QoS in Connection Admission Control for ATM Networks Using Fuzzy Logic Techniques

Onifade¹,

Aderounmu²,

Tayo³

2008

IISIT

View full text Add to dashboard Cite

The objective of connection admission control (CAC) is to keep the network load moderate to achieve a performance objective associated with Quality of Service (QoS). Cell Loss Ratio (CLR), a key QoS parameter in ATM networks, is essential for proper network resources dimensioning, congestion control, bandwidth allocation and routing.In this research, we employed fuzzy logic technique in Statistical Connection Admission Control (S-CAC) -a CAC employing multiplexing of the bandwidth between the peak cell rate and the sustained (average) cell rate. The fuzzy technique consists of an input stage, a processing stage, and an output stage. We defined the rules with "max-min" inference method in which the output membership function is given the truth value generated by the premise. The results was defuzzified to a crisp value using the "centroid" method which favors the rule with the output of the greatest area, and the result thereafter charted to compare it operation.

show abstract

Section: Background Studymentioning

confidence: 99%

Sustaining Negotiated QoS in Connection Admission Control for ATM Networks Using Fuzzy Logic Techniques

Onifade¹,

Aderounmu²,

Tayo³

2008

IISIT

View full text Add to dashboard Cite

show abstract

“…none of the traffic flow's priorities have the same priority. A wealth of other delay formulas for other scheduling policies is available in the literature [4][5][6][7][8][9][10].…”

Section: Delay Analysismentioning

confidence: 99%

Hiding role assignment in mission‐critical collaborative systems

Fu¹,

Guan²,

Bettati³

et al. 2002

Quality & Reliability Eng

View full text Add to dashboard Cite

SUMMARYIn a mission critical collaboration system, a group of roles are assigned to computer nodes connected by a communication network. Role assignment is mission-critical information and needs to be protected. In this paper, we develop methods to effectively and efficiently protect the information of role assignment from traffic analysis, a passive attack. To measure the system security, we introduce a metric of detection probability, defined as the probability that a role assignment can be discovered. A heuristic greedy algorithm is given to minimize the resource consumption while guaranteeing a low detection-probability level. Our performance evaluation shows that the algorithm proposed in this paper performs well in terms of execution time and resource usage compared to an exhaustive search algorithm. We also propose to use additional means (e.g. additional nodes) to further increase the security level of a system at the cost of a mild resource consumption increase.

show abstract

“…For a network with FCFS link scheduling, the maximum delay at a link is the number of links that feed into Link u at the switch. A wealth of delay formulas for other scheduling policies are available in the literature [9], [12], [14], [22], [29], [36], [38].…”

Section: A2 Host-to-host Delay Analysismentioning

confidence: 99%

NetCamo: camouflaging network traffic for QoS-guaranteed mission critical applications

Guan

Xuan

et al. 2001

IEEE Trans. Syst., Man, Cybern. A

Self Cite

View full text Add to dashboard Cite

Abstract-This paper presents the general approach, design, implementation, and evaluation of NetCamo, a system to prevent traffic analysis in systems with real-time requirements. Integrated support for both security and real-time is becoming necessary for computer networks that support mission critical applications. This study focusses on how to integrate both the prevention of traffic analysis and guarantees for worst-case delays in an internetwork. We propose and analyze techniques that efficiently camouflage network traffic and correctly plan and schedule the transmission of payload traffic so that both security and real-time requirements are met. The performance evaluation shows that our NetCamo system is effective and efficient. By using the error between target camouflaged traffic and the observed (camouflaged) traffic as metric to measure the quality of the camouflaging, we show that NetCamo achieves very high levels of camouflaging without compromising real-time requirements.

show abstract

Adaptive connection admission control for mission critical real-time communication networks

Cited by 9 publications

References 20 publications

Sustaining Negotiated QoS in Connection Admission Control for ATM Networks Using Fuzzy Logic Techniques

Sustaining Negotiated QoS in Connection Admission Control for ATM Networks Using Fuzzy Logic Techniques

Hiding role assignment in mission‐critical collaborative systems

NetCamo: camouflaging network traffic for QoS-guaranteed mission critical applications

Contact Info

Product

Resources

About