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Full-Text Articles in Engineering
Low-Density Parity-Check Codes For Volume Holographic Memory Systems, Hossein Pishro-Nik, Nazanin Rahnavard, Jeongseok Ha, Faramarz Fekri, Ali Adibi
Low-Density Parity-Check Codes For Volume Holographic Memory Systems, Hossein Pishro-Nik, Nazanin Rahnavard, Jeongseok Ha, Faramarz Fekri, Ali Adibi
Hossein Pishro-Nik
We investigate the application of low-density parity-check (LDPC) codes in volume holographic memory (VHM) systems. We show that a carefully designed irregular LDPC code has a very good performance in VHM systems. We optimize high-rate LDPC codes for the nonuniform error pattern in holographic memories to reduce the bit error rate extensively. The prior knowledge of noise distribution is used for designing as well as decoding the LDPC codes. We show that these codes have a superior performance to that of Reed-Solomon (RS) codes and regular LDPC counterparts. Our simulation shows that we can increase the maximum storage capacity of …
Periodic Broadcast And Patching Services - Implementation, Measurement And Analysis In An Internet Streaming Video Testbed, Mk Bradshaw, B Wang, S Sen, Lx Gao, J Kurose, P Shenoy, D Towsley
Periodic Broadcast And Patching Services - Implementation, Measurement And Analysis In An Internet Streaming Video Testbed, Mk Bradshaw, B Wang, S Sen, Lx Gao, J Kurose, P Shenoy, D Towsley
Lixin Gao
No abstract provided.
Dynamic Resource Allocation For Shared Data Centers Using Online Measurements, Abhishek Chandra, Weibo Gong, Prashant Shenoy
Dynamic Resource Allocation For Shared Data Centers Using Online Measurements, Abhishek Chandra, Weibo Gong, Prashant Shenoy
Computer Science Department Faculty Publication Series
Since web workloads are known to vary dynamically with time, in this paper, we argue that dynamic resource allocation techniques are necessary to provide guarantees to web applications running on shared data centers. To address this issue, we use a system architecture that combines online measurements with prediction and resource allocation techniques. To capture the transient behavior of the application workloads, we model a server resource using a time-domain description of a generalized processor sharing (GPS) server. This model relates application resource requirements to their dynamically changing workload characteristics. The parameters of this model are continuously updated using an online …