Managing Virtualization of Networks and Services: 18th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2007, San José, CA, USA, October 29-31, 2007, ProceedingsAlexander Clemm, Lisandro Zambenedetti Granville, Rolf Stadler Springer, 2007. gada 29. sept. - 272 lappuses This volume of the Lecture Notes in Computer Science series contains all papers th accepted for presentation at the 18 IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (DSOM 2007), which was held in the heart of Silicon Valley, San Jose, California, USA, on October 29–31, 2007. DSOM 2007 was the 18th event in a series of annual workshops. It followed in the footsteps of previous successful meetings, the most recent of which were held in Dublin, Ireland (DSOM 2006), Barcelona, Spain (DSOM 2005), Davis, California, USA (DSOM 2004), Heidelberg, Germany (DSOM 2003), and Montreal, Canada (DSOM 2002). The goal of the DSOM workshops is to bring together researchers from industry and academia working in the areas of networks, systems, and service management, to discuss recent advances and foster future growth. In contrast to the larger management conferences, such as IM (Integrated Network Management) and NOMS (Network Operations and Management Symposium), DSOM workshops have a single-track program in order to stimulate more intense interaction among participants. |
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6.–8. rezultāts no 8.
8. lappuse
... branching factor. Except for m = 2, the curves are different with low values for N. With α 1 (m), the higher the branching factor is, the higher the reachability is. This is in contradiction with the second case with α2 (m) presented on ...
... branching factor. Except for m = 2, the curves are different with low values for N. With α 1 (m), the higher the branching factor is, the higher the reachability is. This is in contradiction with the second case with α2 (m) presented on ...
9. lappuse
... branching factor is needed to have the best performances. We assume that the more there are nodes, the more effective a high branching factor is. This is highlighted by other curves in figure 4. For instance a branching factor of three ...
... branching factor is needed to have the best performances. We assume that the more there are nodes, the more effective a high branching factor is. This is highlighted by other curves in figure 4. For instance a branching factor of three ...
10. lappuse
... branching factor m = 5 was the best case again. 5. Related. Works. Botnets are a powerful tool for attackers needing to manage large armies of compromised machines. Since a botnet can be build by a worm infecting several machine, the ...
... branching factor m = 5 was the best case again. 5. Related. Works. Botnets are a powerful tool for attackers needing to manage large armies of compromised machines. Since a botnet can be build by a worm infecting several machine, the ...
Saturs
1 | |
13 | |
MarketBased Hierarchical Resource Management Using Machine Learning | 25 |
Probabilistic Fault Diagnosis Using Adaptive Probing | 38 |
Fault Representation in CaseBased Reasoning | 50 |
Fault Detection in Autonomic Networks Using the Concept of Promised Cooperation | 62 |
On Fully Distributed Adaptive Load Balancing | 74 |
Smart Dimensioning of IP Network Links | 86 |
VirtualizationBased Techniques for Enabling Multitenant Management Tools | 171 |
Offloading IP Flows onto LambdaConnections | 183 |
Application to IPv6 Network Mobility | 187 |
NADA Network Anomaly Detection Algorithm | 191 |
IT Service Management Automation An Automation Centric Approach Leveraging Configuration Control Audit Verification and Process Analytics | 195 |
Proposal on NetworkWide Rollback Scheme for Fast Recovery from Operator Errors | 199 |
A Scalable and Highly Reusable SLA Compliance Auditing Framework | 203 |
Customer Service Management for Grid Monitoring and Accounting Data | 216 |
Managing Performance of Aging Applications Via Synchronized Replica Rejuvenation | 98 |
Dependency Detection Using a Fuzzy Engine | 110 |
Bottleneck Detection Using Statistical Intervention Analysis | 122 |
Mitigating the LyingEndpoint Problem in Virtualized Network Access Frameworks | 135 |
On the Risk Exposure and Priority Determination of Changes in IT Service Management | 147 |
Assessing Operational Impact in Enterprise Systems by Mining Usage Patterns | 159 |
A LinuxSupported UserBased IP Accounting | 229 |
Efficient Web Services Event Reporting and Notifications by Task Delegation | 242 |
Transactions for Distributed Wikis on Structured Overlays | 256 |
Author Index | 268 |
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Managing Virtualization of Networks and Services: 18th IFIP/IEEE ... Alexander Clemm,Lisandro Zambenedetti Granville,Rolf Stadler Priekšskatījums nav pieejams - 2007 |
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49. lappuse - The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the US Government.
38. lappuse - This manuscript was prepared through collaborative participation in the Communications and Networks Consortium sponsored by the US Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD 19-0 1-2-0011.
226. lappuse - Team for helpful discussions and valuable comments on previous versions of this paper. The MNM Team directed by Prof. Dr. Heinz-Gerd Hegering is a group of researchers of the University of Munich, the Munich University of Technology, the University of the Federal Armed Forces Munich, and the Leibniz Supercomputing Center of the Bavarian Academy of Sciences.
226. lappuse - The authors wish to thank the members of the Munich Network Management (MNM) Team for helpful discussions and valuable comments on previous versions of this paper.
111. lappuse - The remainder of the paper is structured as follows. The next section develops our process model and reviews the definitions of the testing preorders and the prebisimulation preorder.
26. lappuse - The remainder of this paper is structured as follows. In section 2, we review some related work.
58. lappuse - Precision is the ratio of the number of relevant documents retrieved to the total number of documents retrieved.
72. lappuse - A. Keller. An active approach to characterizing dynamic dependencies for problem determination in a distributed environment. In Proceedings of the 7th IFIP/IEEE International Symposium on Integrated Network Management.
73. lappuse - IEEE International Conference on Sensor and Ad Hoc Communications and Networks. Santa Clara, CA, October, 2004, pp.