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Network Function Virtualization (NFV) has the potential to significantly reduce the capital and operating expenses, shorten product release cycle, and improve service agility. In this paper, we focus on minimizing the total number of Virtual Network Function (VNF) instances to provide a specific service (possibly at different locations) to all the flows in a network. Certain network security and analytics...
In a wireless sensor network (WSN), many researchers proved that the clustering technique improves the longevity of the network. But the load of handling traffic increases on the nodes which are closer to the sink or the base station (BS), as it has to carry others traffic along with its own towards the BS and depletes more energy which causes network holes. The power transmitted by the nodes could...
In Brain Machine Interface (BMI), movement direction can be decoded using intra-cortical recordings such as Local Field Potentials (LFP). Due to the natural instability and non-stationarity of these recordings, it is difficult to develop decoders that remain consistent over time and are not affected by learning. This paper uses qualitative information based on the temporal and spatial distribution...
The problem of tracking Euclidean motion is formulated as a sequential learning of rotations and translations. For tracking modalities such as radar and sonar, this approach avoids a fundamental mismatch that arises with standard trackers that model motion dynamics in Cartesian coordinates but track based on measurements whose noise is best modeled in polar coordinates. By considering motion in terms...
Collaborative filtering (CF) based recommender systems have gained wide popularity in Internet companies like Amazon, Netflix, Google News, and others. These systems make automatic predictions about the interests of a user by inferring from information about like-minded users. Realtime CF on highly sparse massive datasets, while achieving a high prediction accuracy, is a computationally challenging...
To overpass the speed gap between processor and main memory; cache memory is used. Cache memory is having hierarchical structure, including level 1 cache (L1), level 2 cache (L2) etc. Effective page replacement algorithm will result in effectual utilization of cache. L1 is having rich temporal locality while L2 is having poor temporal locality, thus same replacement algorithms for both the levels...
Access to the Internet and WWW is growing extensively, which results in heavy network traffic. To reduce the network traffic proxy server is used. Proxy server reduces the load of server. If the cache replacement algorithm of proxy server's cache is efficient then proxy server will be helpful to reduce the network traffic in more efficient manner. In this paper we are considering proxy server cache...
Access to the internet and WWW is growing extensively, which results in heavy network traffic. To reduce the network traffic proxy server is used. Proxy server reduces the load of server. If the cache replacement algorithm of proxy server's cache is efficient then proxy server will be helpful to reduce the network traffic in more efficient manner. In this paper we are considering proxy server cache...
Association analysis is one of the most popular analysis paradigms in data mining. In this paper, we present different types of association patterns and discuss some of their applications in bioinformatics. We present a case study showing the usefulness of association analysis-based techniques for pre-processing protein interaction networks. Finally, we discuss some of the challenges that need to...
Processors speed is much faster than memory; to bridge this gap cache memory is used. This paper proposes a preeminent pair of replacement algorithms for Level 1 cache (L1) and Level 2 cache (L2) respectively for the matrix multiplication (MM) application. The access patterns of L1 and L2 are different, when CPU not gets the desired data in L1 then it goes to L2. Thus the replacement algorithm which...
Prior work has shown that computing dynamic slices of erroneous program values can greatly assist in locating the root cause of erroneous behavior by identifying faulty statements in sequential programs. These dynamic slices represent backward transitive closure over exercised read-after-write data dependences and control dependences. However, for a multithreaded program executing on a processor,...
This paper presents a compression algorithm for dynamic data, the size of which keeps on increasing rapidly. It is a memory efficient data compression technique comprising of a block approach that keeps the data in compressed form as long as possible and enables the data to be appended to the already compressed text. The algorithm requires only a minimal decompression for supporting update of data...
This paper presents a compression algorithm for dynamic data, the size of which keeps on increasing frequently. It is an efficient data compression technique comprising of a block approach that keeps the data in compressed form as long as possible and enables the data to be appended to the already compressed text. The approach requires only a minimal decompression for supporting update of data. The...
A SystemC simulation kernel consists of a deterministic implementation of the scheduler, whose specification is non- deterministic. To leverage testing of a SystemC TLM design, we focus on automatically exploring all possible behaviors of the design for a given data input. We combine static and dynamic partial order reduction techniques with SystemC semantics to intelligently explore a subset of the...
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