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Table of contents
Remerciements
Abstract
Acronyms
Contents
1. Introduction
1.1. A Service-Oriented Internet
1.2. Problem Formulation: Resource Protection in Enterprise Data Centers
1.3. Contributions of This Thesis
1.3.1. Resource Protection in Single-Site Enterprise Data Centers
1.3.2. Resource Protection in Geographically Distributed EDC Deployments
1.4. Outline
2. Service Traffic Shaping for Resource Protection in Enterprise Data Centers
2.1. Service-Oriented Enterprise Data Centers
2.2. Service Level Agreements and Service Access Requirements
2.2.1. SAR Enforcement in Two-tier EDCs
2.3. System Architecture
2.4. The Service Traffic Shaping Problem
2.4.1. Scheduling vs. Shaping
2.5. RelatedWork
2.5.1. General Problem
2.5.2. Existing Solutions for Service Traffic Shaping
2.5.3. Rationale for contributions
2.6. Conclusion
3. DOWSS: Multipoint-to-Point Resource Protection
3.1. Instantiation of the System Architecture to theMultipoint-to-Point Case
3.2. RelatedWork Specific to the Multipoint-to-Point Case
3.3. Issues with Existing Multipoint-to-Point Solutions
3.3.1. Flooring Effect
3.3.2. Starvation
3.3.3. Fast Start
3.3.4. Discussion
3.4. DoWSS: Doubly-Weighted algorithm for Service Traffic Shaping
3.4.1. Preliminaries
3.4.2. Case I: Empty Queues
3.4.3. Case II: Non-empty Queues
3.4.4. Conflict Resolution
3.4.5. Addressing the fast start issue
3.5. Evaluation
3.5.1. Experimental Setup
3.5.2. Performance Metrics
3.5.3. Performance under Uniform Traffic
3.5.4. Performance Under Bursty Traffic
3.6. Discussion
3.6.1. Optimality of Results
3.6.2. Communication Overhead
3.7. Conclusions
4. MUST: Multipoint-to-Multipoint Resource Protection
4.1. Off-the-shelf SON Appliances and Traffic Shaping
4.1.1. From Multipoint-to-Point to Multipoint-to-Multipoint Shaping
4.1.2. Architectural Shortcomings of Off-the-Shelf SON Appliances
4.1.3. Arguments Towards New Algorithms
4.2. MUST: Multipoint-to-Multipoint Service Traffic Shaping
4.2.1. A Novel SON Appliance Architecture
4.2.2. A Multipoint-to-Multipoint Service Traffic Shaping Algorithm
4.3. Evaluation
4.4. Related work specific to the Multipoint-to-multipoint Case
4.5. Conclusion
5. GEODS: Beyond Single-Site Enterprise Data Centers
5.1. The Service Traffic Shaping Problem in Geographically Distributed EDCs
5.1.1. System Architecture
5.1.2. Issues in Geographically Distributed EDCs Inherent to the Presence of Network Latencies
5.1.3. Discussion
5.2. GEODS: Geographically Distributed Service Traffic Shaping
5.2.1. Assumptions
5.2.2. Choosing the Maximum Sending Deadline
5.2.3. Adapting to Changes in Incoming Traffic
5.2.4. Performing credit allocation
5.3. Evaluation
5.4. Conclusion
6. Conclusions and Perspectives
6.1. Contributions
6.1.1. DOWSS: Multipoint-to-Point Service Traffic Shaping
6.1.2. MUST: Multipoint-to-Multipoint Service Traffic Shaping
6.1.3. GEODS: Geographically Distributed Service Traffic Shaping
6.1.4. Conclusion
6.2. Perspectives
6.2.1. Lack of Standardized SAR
6.2.2. Different Protection Metrics
6.2.3. ApplianceWeights vs. User History
6.2.4. Scalability
6.2.5. Distributed Shaping
6.2.6. Real-World Testbed and Datasets
Appendices
Bibliography




