Salini Selvaraj Kowsalya

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We introduce <i>split-level I/O scheduling</i>, a new framework that splits I/O scheduling logic across handlers at three layers of the storage stack: block, system call, and page cache. We demonstrate that traditional block-level I/O schedulers are unable to meet throughput, latency, and isolation goals. By utilizing the split-level framework, we build a(More)
  • M Sandhini, S Kowsalya, +4 authors Asst Professor
  • 2015
The challenging issue of defining and implementing an effective law for load balancing in Content Delivery Networks (CDNs). The proposal on a forma study of a CDN system, carried out through the exploitation of a fluid flow model characterization of the network of servers. Starting from such characterization, it derives and proves a lemma about the network(More)
Signcryption is a cryptographic primitive that fulfill the functionalities of digital signature and public key encryption simultaneously, at a cost significantly lower than that required by the traditional sign-then-encrypt or encrypt-then-sign approach. In this paper, we address the question whether it is feasible to construct a PKI based signcryption(More)
This work presents a study and analysis of Hallucination in HDR Images it presents a technique for the high dynamic range image in over-exposed and underexposed regions, the hallucination image become blur and hence a bilateral filter algorithm is applied to smooth the image and preserve edges more effectively after applying the tone mapping algorithm to(More)
BACKGROUND The present study aimed to evaluate the nutritional status of infants in Ramanathapuram district of Tamilnadu. METHODS The present study comprised a community-based cross-sectional study conducted in seven taluks of the Ramanathapuram district. A total of 2800 infants (<1 year of age) comprising of 1400 male and 1400 female infants were(More)
Inspite of the rapid advancements in storage technology, the fundamental architecture of storage in operating system remains fixed. Applications invoke the kernel to store and retrieve data and kernel invokes the file system. Recent work suggests a new class of memory called storage class memory(SCM) which blurs out the distinction between fast, expensive(More)
The proposed contribution uses median fuzzy c-means approach for detection of masses and macrocalcificaiton in mammogram images. Median clustering is a powerful methodology for prototype based clustering of similarity/dissimilarity data. In the MFCM instead of calculating the mean for each cluster to determine its centroid, it calculates the median. This(More)
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