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A simple parallel algorithm for decoding a Huffman encoded file is presented, exploiting the tendency of Huffman codes to resynchronize quickly, i.e. recovering after possible decoding errors, in most cases. The average number of bits that have to be processed until synchronization is analyzed and shows good agreement with empirical data. As Huffman coding(More)
We explore the use of compression methods to improve the middleware-based exchange of information in interactive or collaborative distributed applications. In such applications, good compression factors must be accompanied by compression speeds suitable for the data transfer rates sustainable across network links. Our approach combines methods that(More)
We explore the possibility of using multiple processors to improve the encoding and decoding times of Lempel Ziv schemes. A new layout of the processors, based on a full binary tree, is suggested and it is shown how LZSS and LZW can be adapted to take advantage of such parallel architectures. The layout is then generalized to higher order trees.(More)
" This book will be a nice contribution to the community of operating system kernel developers. " This publication discusses the latest advances in kernel security, kernel flexibility, the efficient utilization of memory, I/O prefetching, and page replacement algorithms, including: Kernel stack overflows Identifying systemic threats to kernel data Best(More)
We suggest a method for minimizing the paging on a system with a very heavy memory usage. Sometimes there are processes with active memory allocations that should be in the physical memory, but their total size exceeds the physical memory range. In such cases, the operating system starts swapping pages in and out of the memory on every context switch. We(More)