New Approach of Inter-Cross: An Efficient Multilevel Cache Management Policy

Cache performance has been critical for large scale systems. Until now, many multilevel cache management policies LRU-K, PROMOTE, DEMOTE have been developed but still there is performance issue. Many approaches have been proposed to reduce the gap between different levels such as hint-based multilevel cache. Some approaches like demote or promote are based on the latest cache history information, which is inadequate for applications where there are regular demote and promote operations occur. The major drawback of these policies is selecting a victim. In this paper, the new multilevel cache replacement policy called Inter-cross is implemented to improve the cache performance of a system. The decision of promotion and demotion is based on the block\u27s previous N-step promotion or demotion history and the size and resident time of the block in the cache. Comparative study between inter-cross and existing multilevel policies shows that, existing keeps track on last K references of the block within a last cache level, while inter-cross keeps track of the information of the last K movements of blocks among all the cache levels. Inter-cross algorithms are designed that can efficiently describe the activeness of any blocks in any cache level. Experimental results show that inter-cross achieves better performance compared to existing multilevel cache replacement policies such as LRU-K, PROMOTE, and DEMOTE under different workloads

A Modified Approch Audio Stagnography Based On Technique LSB Coding

Information security is becoming very important part of our life now-a-days. Information hiding is the fundamental of information security. Information hiding can be achieved by steganography as well. This paper presents a modified method of audio stegnography. Audio steganography is the technique of hiding secret information in the audio files. nbspWe have presented a high capacity and high stego-signal quality audio steganography scheme based on samples comparison in DWT domain where selected coefficient of a segment are compared with pre determined threshold value T and based on comparison bits are embedded. The strength of our algorithm is depend on the segment size andnbsp their strength are enabled the algorithm to achieve very high embedding capacity for different data type that can reach up to 25%nbsp from the input audio file size with lest of 35 dBnbsp SNR for the output stego signal. Further we have tabulated the result and the conclusion is made on the basis of the obtained results