129 research outputs found
Content name resolution service implementation for cache and forward network architecture
No full textCache aNd Forward (CNF) is a proposed architecture for content delivery services in the future Internet. The CNF architecture takes advantage of reductions in storage to design a network that directly addresses the mobile content delivery problem. The CNF architecture uses a content name resolution service protocol, along with a reliable hop-by-hop transport protocol, storage aware routing protocol in place of end-to-end TCP for reliable delivery of large files. This thesis presents the algorithms proposed for a distributed name resolution protocol and design and experimental evaluation of the protocol on ORBIT in context of a multi-hop wireless access network scenario. The protocol is designed using hashing technique such that when a host queries for a file, the name service will be triggered and will return the addresses of nodes that cache the file. Since our architecture is about caching and forwarding large content files, enabling hosts to retrieve files from the network and not necessarily from the origin server, we need to uniquely identify the files. To that effect, we propose to identify a file using a unique content identifier (CID) where CID is obtained by a one way hashing (SHA1) on the content itself. The aim here is to optimize selection of cache location and serve the host with the file from the nearest location. If the selected cache location is determined to be temporarily degraded, either due to poor channel conditions or mobility, the protocol uses multiple hash technique to provide alternate cache locations and the decision is based on the ETT metric provided by the routing protocol. The CNRS protocol over multi-hop 802.11 access networks with CNF routers has been implemented as a real-time proof-of-concept prototype on the ORBIT testbed. Baseline results for CNRS with hop-by-hop transport show that content based CNF network architecture performs better than TCP/IP stack. Using different content distributions, we have shown that multiple hashing, popularity based and location based caching provide significant gains over the baseline algorithm.M.S.Includes bibliographical referencesby Puneet Katari
Development of Improved dc Network Model for Contingency Analysis
Get PDFabstract: The development of new policies favoring integration of renewable energy into the grid has created a need to relook at our existing infrastructure resources and at the way the power system is currently operated. Also, the needs of electric energy markets and transmission/generation expansion planning has created a niche for development of new computationally efficient and yet reliable, simple and robust power flow tools for such studies. The so called dc power flow algorithm is an important power flow tool currently in use. However, the accuracy and performance of dc power flow results is highly variable due to the various formulations which are in use. This has thus intensified the interest of researchers in coming up with better equivalent dc models that can closely match the performance of ac power flow solution.
This thesis involves the development of novel hot start dc model using a power transfer distribution factors (PTDFs) approach. This document also discusses the problems of ill-conditioning / rank deficiency encountered while deriving this model. This model is then compared to several dc power flow models using the IEEE 118-bus system and ERCOT interconnection both as the base case ac solution and during single-line outage contingency analysis. The proposed model matches the base case ac solution better than contemporary dc power flow models used in the industry.Dissertation/ThesisMasters Thesis Electrical Engineering 201
Determination of the octanol-water partition coefficient of indolicidin and indolicidin45 using micellar electrokinetic chromatography
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Unsteady MHD nanofluid flow past a stretching sheet with Stefan blowing effect: HAM solution
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Influence of g–jitter on the Rayleigh-Bénard convection in nanofluids with internal heat source
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