Internet service monitoring with mobile agents

Günter, Manuel; Braun, Torsten

doi:10.1109/mnet.2002.1002996

Cited by 13 publications

(4 citation statements)

References 15 publications

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“…Service recovery feature is deemed to be a vital element to enable service continuity. It is rapidly developed to ensure quality performance of real-time communication [4] [7], mobile network [5] [8] and internet service [6] [9]. We will discuss some of the proposed recovery strategy used in different applications.…”

Section: Related Workmentioning

confidence: 99%

Service continuity for audio visual service

Peng

Wei

Zaini

et al. 2008

2008 IEEE International Symposium on Consumer Electronics

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This paper presents a monitoring and handover mechanism which aims to minimize audio visual (AV) service disruption. Service discovery technology like UPnP has limited and inflexible fault tolerance feature. Our proposed monitoring and handover mechanism enhances the functionality of UPnP eventing. It consists of a Fault Analyzing Manager which proactively monitors changes of subscribed events and determines the possible occurrence of service failure. Compared with other existing service continuity architectures, our proposed architecture is able to perform autonomous recovery action based on action list and move away from single point of failure problem. Furthermore, it offers adaptive and proactive fault detection.

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Section: Related Workmentioning

confidence: 99%

Service continuity for audio visual service

Peng

Wei

Zaini

et al. 2008

2008 IEEE International Symposium on Consumer Electronics

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“…The idea of inserting agents at carefully chosen locations in the network is not new, and it has been reported in [12] to increase web traffic performance and in [13] to monitor network services. In contrast, our agent-based approach focuses on the delivery of delay-sensitive media content over 3G wireless networks.…”

Section: Related Workmentioning

confidence: 99%

“…The error bound from the optimal solution can be found a posteriori by first solving a different instance of the problem by performing the following rounding operation: (12) We denote the solution to this optimization instance by . The error of solution from optimal solution can be bounded as follows: (13) The proof can be found in the Appendix. Notice that the a posteriori bound in (13) is similar to one for the traditional Lagrangian approach for resource allocation [28].…”

Section: Givenmentioning

confidence: 99%

Real-time video transport optimization using streaming agent over 3G wireless networks

Cheung

Tan²,

Yoshimura³

2005

IEEE Trans. Multimedia

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Abstract-Feedback adaptation has been the basis for many media streaming schemes, whereby the media being sent is adapted in real time according to feedback information about the observed network state and application state. Central to the success of such adaptive schemes, the feedback must: 1) arrive in a timely manner and 2) carry enough information to effect useful adaptation. In this paper, we examine the use of feedback adaptation for media streaming in 3G wireless networks, where the media servers are located in wired networks while the clients are wireless. We argue that end-to-end feedback adaptation using only information provided by 3G standards is neither timely nor contain enough information for media adaptation at the server. We first show how the introduction of a streaming agent (SA) at the junction of the wired and wireless network can be used to provide useful information in a timely manner for media adaptation. We then show how optimization algorithms can be designed to take advantage of SA feedbacks to improve performance. The improvement of SA feedbacks in peak signal-to-noise ratio is significant over nonagent-based systems.

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“…The idea of inserting proxies or intelligent routers at carefully chosen locations in the network is not new, and it has been reported in [16] to increase web traffic performance, in [17] to monitor network services, and in [18] for multicast video distribution. In contrast, our agents are designed for streaming delay-sensitive media content via large-latency last-hop wireless links.…”

Section: A Related Work In Networkingmentioning

confidence: 99%

Double feedback streaming agent for real-time delivery of media over 3G wireless networks

Cheung

Tan

Yoshimura

2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.

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Abstract-A network agent located at the junction of wired and wireless networks can provide additional feedback information to streaming media servers to supplement feedbacks from clients. Specifically, it has been shown that feedbacks from the network agent have lower latency, and they can be used in conjunction with client feedbacks to effect proper congestion control. In this work, we propose the double-feedback streaming agent (DFSA) which further allows the detection of discrepancies in the transmission constraints of the wired and wireless networks. By working together with the streaming server and client, DFSA reduces overall packet losses by exploiting the excess capacity of the path with more capacity. We show how DFSA can be used to support three modes of operation tailored for different delay requirements of streaming applications. Simulation results under high wireless latency show significant improvement of media quality using DFSA over non-agent-based and earlier agent-based streaming systems.

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Internet service monitoring with mobile agents

Cited by 13 publications

References 15 publications

Service continuity for audio visual service

Service continuity for audio visual service

Real-time video transport optimization using streaming agent over 3G wireless networks

Double feedback streaming agent for real-time delivery of media over 3G wireless networks

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