ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada / It talks about a distributed net-based flight test raw data processing system, web-oriented and application oriented. The system likes a normal one, consists of database servers, web servers and NAS storage server, but with the particular distributed task scheduler servers and the calculation servers. Each type server can be a team. The user can use WEB browser with the help of OCX control to setup his own processing task according to his need, choose which plane, which flight no., and defining the parameters, flight time segments, extracting rate etc to be processed. The system can accomplish the processing using the embedded application middleware, various data processing modules in database, with the scheduler servers and processing servers. The system can meet many users' demand of huge quantity non-structural flight raw data quickly and efficient processing at the short time, ensure the flight data enhanced management, to keep from copying and distributing the great quantity raw data inefficiently and out-of-management.

As the Internet has grown to represent arguably the largest “engineered” system on earth, network researchers have shown increasing interest in measuring this large-scale networked system. In the process, structures such as the physical Internet or the many different (logical) overlay networks that this physical infrastructure enables have been the focus of numerous studies. Many of these studies have been fueled by the ease of access to “big data”. Moreover, they benefited from advances in the study of complex networks. However, an important missing aspect in typical applications of complex network theory to the study of real-world distributed systems has been a general lack of attention to domain knowledge. On the one hand, missing or superficial domain knowledge can negatively affect the studies “input”; that is, limitations or idiosyncrasies of the measurement methods can render the resulting graphs difficult to interpret if not meaningless. On the other hand, lacking or insufficient domain knowledge can result in specious “output”; that is, popular graph abstractions of real-world systems are incapable of accounting for “details” that are important from an engineering perspective. In this thesis, we take a closer look at measurement-based characterization of a few real-world large-scale networked systems and focus on the role that domain knowledge plays in gaining a thorough understanding of these systems key properties and behavior. More specifically, we use domain knowledge to (i) design context-aware measurement strategies that capture the relevant information about the system of interest, (ii) analyze the captured view of the networked system baring in mind the abstraction imposed by the chosen graph representation, and (iii) scrutinize the results derived from the analysis of the graph-based representations by investigating the root causes underlying these findings. The main technical contribution of our work is twofolds. First, we establish concrete connections between the amount and level of domain knowledge needed and the quality of the measurements collected from networked systems. Second, we also provide concrete evidence for the role that domain knowledge plays in the analysis of views inferred from measurements collected from large-scale networked systems

In the first part of this thesis, we propose a distributed consensus algorithm under multi-layer multi-group structure with communication time delays. It is proven that the consensus will be achieved in both time-varying and fixed communication delays. In the second part, we study the distributed optimization problem with a finite-time mechanism. It is shown that our distributed proportional-integral algorithm can exponentially converge to the unique global minimizer when the gain parameters satisfy the sufficient conditions. Moreover, we equip the proposed algorithm with a decentralized algorithm, which enables an arbitrarily chosen agent to compute the exact global minimizer within a finite number of time steps, using its own states observed over a successive time steps. In the third part, it is shown the implementation of accelerated distributed energy management for microgrids is achieved. The results presented in the thesis are corroborated by simulations or experiments.

Researchers and application designers need repeatable methods to evaluateapplications/systems over WiFi. It is hard to reproduce evaluations overWiFi because of rapidly changing wireless quality over time. In this degreeproject, we present NemFi, a trace-driven emulator for accurately recordingthe WiFi trac and later using it to emulate WiFi links in a repeatable fashion.First, we present the advantages of trace-driven emulation over simulationand experimentation. We capture the uctuating WiFi link conditionsin terms of capacity and losses over time and replay captured behavior forany application running in the emulator. Current record-and-replay techniquesfor web trac and cellular networks do not work for WiFi becauseof their inability to distinguish between WiFi losses and losses due to selfinducedcongestion. They are also lacking other WiFi specic features. Inthe absence of a trace-driven emulator for WiFi, NemFi is also equipped toavoid self-induced packet losses. It is thus capable of isolating WiFi relatedlosses which are then replayed by the NemFi's replay. NemFi's record alsoaddresses the frame aggregation and the eect it has on the actual datatransmission capability over the wireless link. NemFi can record frame aggregation,at all instants of the record phase and later accurately replays theaggregation.Experimental results demonstrate that NemFi is not only accurate inrecording the variable-rate WiFi link but also in capturing cross-trac. NemFialso replays the recorded conditions with considerable accuracy. / Forskare och applikationsdesigners behöver repeterbara metoder för att utvärderaapplikationer och system via WiFi. Det är svårt att reproducera utvärderingar genom WiFi eftersom den trådlösa kvalit´en snabbt förändras över tid. I denna rapport presenterar vi NemFi, en spårstyrd emulator för att noggrant registrera WiFi-trafiken och senare använda den för att emulera WiFi-länkar påett repeterbart sätt. Först presenterar vi fördelarna med spårstyrd emulering jämfört med simulering och experiment. Vi fångar de varierande WiFi förhållanden med avseende påkapacitet och förluster över tid och spelar upp fångat beteende för alla applikationer som körs i emulatorn. Nuvarande inspelning och uppspelningstekniker för webbtrafik och mobilnät fungerar inte för WiFi pågrund av deras oförmåga att skilja mellan WiFi-förluster ochförluster pågrund av självinducerad överbelastning. De saknar ocksåandraWiFi-specifika funktioner. I avsaknad av en spårdriven emulator för WiFi är NemFi ocksåutrustade för att undvika självinducerade paketförluster. Den kan alltsåisolera WiFi-relaterade förluster som sedan spelas upp igen av NemFi: s uppspelning. NemFi adresserar ocksåramaggregering och det är effekten påfaktiska dataöverföringsförmåga via den trådlösa länken. NemFi kan spela in ramsamling, vid alla ögonblick i inspelningsfasen och ersätter senare noggrant aggregeringen.Experimentella resultat visar att NemFi inte bara är användbart när det gäller att registrera WiFi-länken med variabel hastighet, utan ocksåför att fånga tvärgående trafik. NemFi ersätter ocksåde inspelade förhållandena medbetydande noggrannhet.