MMS: multi merge and split buffer management scheme for video-on-demand systems

The interval caching buffer management scheme uses temporal locality of a group of I/O streams serving videos on demand. A group of I/O streams served by a single stream is called a session. In such cases, all I/O streams in the session, except one, will experience buffer hits. Also, the I/O stream of the client may leave the session resulting in a wastage of memory as the Video-on-Demand (VoD) system provides VCR-like functions e.g. play, pause, rewind and fast-forward. Our proposed interval-based buffer management technique merges the streams of a number of sessions and returns the same number of sessions with minimum memory wastage. In the MMS buffer management scheme, the number of streams of the sessions are grouped together to form the same number of sessions by using a greedy approach to reduce the memory requirement. An integer constant called block-factor is defined to be a limiting factor for the extra blocks allocated for a new stream to be grouped with the existing session. The simulation study shows that the MMS buffer management scheme reduces memory wastage as the block-factor increases

Video placement and disk load balancing algorithm for VoD proxy server

The interval caching buffer management scheme uses temporal locality of a group of I/O streams serving videos on demand. A group of I/O streams served by a single stream is called a session. In such cases, all I/O streams in the session, except one, will experience buffer hits. Also, the I/O stream of the client may leave the session resulting in a wastage of memory as the Video-on-Demand (VoD) system provides VCR-like functions e.g. play, pause, rewind and fast-forward. Our proposed interval-based buffer management technique merges the streams of a number of sessions and returns the same number of sessions with minimum memory wastage. In the MMS buffer management scheme, the number of streams of the sessions are grouped together to form the same number of sessions by using a greedy approach to reduce the memory requirement. An integer constant called block-factor is defined to be a limiting factor for the extra blocks allocated for a new stream to be grouped with the existing session. The simulation study shows that the MMS buffer management scheme reduces memory wastage as the block-factor increases

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Not AvailableAssessment of soil quality index (SQI) using only the surface soil properties provides an incomplete information as the crop productivity is influenced by both surface and subsurface properties, with the latter being inherently linked to pedogenic processes. Two different SQIs were estimated for soil surface (0–15 cm) and control section (0–100 cm) using soil profile data of six identified soil series in part of semi-arid tropical (SAT) Deccan plateau and correlated with crop yield. Principal component analysis (PCA) and expert opinion (EO) methods were used for selecting minimum soil data set (MDS). Additive and weighted index methods were compared for SQI estimation. SQI obtained showed variation as PCA and EOmethods produced different results. In general, weighted index SQIs were better correlated with crop yield than the additive index SQIs for both PCA and EO methods. EO derived weighted index SQI were comparable for both surface and control section except for few cases and consistent in their correlation with the crop yield, indicating its better performance as compared to PCA. Reason is that the PCA is a data dimension reduction techniquewhereas EO method is primarily conceived by the experts on cause-effect relationship of soil properties (such as hydraulic conductivity, CaCO3 and exchangeable sodium percentage) that are influenced by regressive pedogenic processes in SAT environments. Results showed that consideration of both surface and control section soil properties helps in establishing a good relationship between soil functions and management goal. In addition, it also satisfies the need to integrate both surface and subsurface soil information for soil quality assessment.Not Availabl