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Using Call Detail Records (CDR) to track mobile locations is becoming increasingly popular. In this paper, we design algorithms to compute a road signature, which is a typical sequence of cell sites that a mobile is connected to when traveling on the road. A good signature provides an easy way to determine whether other mobiles travel on the road in the future.
The Internet routing ecosystem is facing substantial scalability challenges on the data plane. Various “clean slate” architectures for representing forwarding tables (FIBs), such as IPv6, introduce additional constraints on efficient implementations from both lookup time and memory footprint perspectives due to significant classification width. In this work, we propose an abstraction layer able to...
Hadoop has two components namely HDFS and MapReduce. Hadoop stores user data based on space utilization of datanodes on the cluster rather than the processing capability of the datanodes. Furthermore Hadoop runs in a heterogeneous environment as all datanodes may not be homogeneous. For these reasons, workload imbalances will occur when jobs run in a Hadoop cluster resulting in poor performance. In...
To realize the high-speed intrusion detection by accommodating many regex-based signatures and the growing network link capacities, we propose a Service TimE-Aware Load balancing algorithm, which is called STEAL. This work is motivated from the observation that utilization of the many-core Network Intrusion Detection System (NIDS) is influenced by unfair computational distribution among many-core...
We see a trend to design services as a suite of small service components instead of the typical monolithic nature of classic web services, which led to an increasing amount of long-tail services on the Internet. Deploying instances everywhere to achieve a fast response time results in high costs, especially when these services are used infrequently and remain idle most of the time. One way to avoid...
In CPU scheduling various algorithms exist like FCFS (First come first serve), SJF (Shortest job first), SRTF (Shortest remaining time first), Priority Scheduling, Round Robin (RR), MLQ (Multilevel queue), MLFQ (Multilevel feedback queue) scheduling. Multilevel Feedback Queue (MLFQ) algorithm allows the switching of processes between queues depending on their burst time. The processes switch to the...
Grid computing is a collection of computer resources from multiple locations to reach a common goal. Grid computing distinguishes from conventional high performance computing systems that are heterogeneous and geographically dispersed than cluster computer. One of the major issues in grid computing is load balancing. Classification of load balancing is: Static - Dynamic, Centralized - Decentralized,...
Cloud computing is a computing paradigm that offers computing and infrastructure services over the internet. Cloud computing has changed the way resource management is done in data centers. Virtualisation technology, the backbone of cloud data centers, enables multiple virtual machines(VM) to be hosted on a single physical machine(PM). These virtual machines are easy to create, manage and remove from...
Healthcare system information is grown an exponential manner. Current management of data base cannot adequately manage the database. Important issues are maintaining huge amount of data. Big data is the solution for managing data base. In the health care system finding patient similarity is the one major problem. Current methods are not satisfied finding similarity between the patients record because...
This work focuses on designing an optimal, and adaptive data caching mechanism to be implemented within sensor-cloud environment. Data caching within sensor-cloud is already explored in a previous work. However, the work lacked timeliness of data delivery, i.e., the response time of a query was large due to repeated caching. Further, the design of the work did not consider incoming sensor data within...
The aim of this research is to enhance the performance of a traditional Open Shortest Path First (OSPF) routing protocol network by adding some features of the Software Defined Networking (SDN) in a modified approach to improve some network's performance metrics like link congestion and bandwidth utilization. The improvement of those metrics leads to an improvement in the total throughput of the network...
With the gradual easing of the low altitude policy in China, the domestic general aviation is breaking the bottleneck and booming, which may bring a fact that the after-sales service of the aircraft shall be put on the schedule in the forecasting future. As an important resource, the supply status of aircraft spares has great effects on the normal operation of the aircraft. Plenty of researches have...
We propose a Q-Learning-based algorithm for an HTTP Adaptive Streaming (HAS) Client that maximizes the perceived quality, taking into account the relation between the estimated bandwidth and the qualities and penalizing the freezes. The results will show that it produces an optimal control as other approaches do, but keeping the adaptiveness.
In this paper, we propose an improved dynamic gamma correction method to enhance contrast and image quality for Liquid Crystal Displays (LCD) with Multi-Phosphor White Light Emitting Diodes (MPW LED). In order to reduce the hardware cost and improve the contrast and the edge strength, the proposed gamma correction method uses content-based analysis to reduce computational complexity. Experimental...
In this paper we present a novel algorithm for estimating system parameters of arbitrary aerial manipulators. We abstract an aerial manipulator as a rigid body with forces and torques applied at arbitrary locations. It is also assumed that there are sensors that measure forces, accelerations and angular velocities at these locations. The problem studied here is to fuse these sensor data in real time...
Nowadays, there are applications in which the data are modelled best not as persistent tables, but rather as transient data streams. In this keynote, we discuss the limitations of current machine learning and data mining algorithms. We discuss the fundamental issues in learning in dynamic environments like learning decision models that evolve over time, learning and forgetting, concept drift and change...
Today world is changing very fast and the volume of automatically generated data is constantly increasing over time. Moreover, the rapid technological developments have led to a significant growth in system complexity as well as of the influence of its interaction with the surrounding environments. In these conditions, building models describing the behaviour of a system requires to extract useful...
Network communities exist as clusters of nodes whose intra-edge connectivity is stronger than edge connectivities between nodes from different clusters. Among others, identification of hidden communities unveils shared functional roles in biological networks, and assigns individuals in social networks to consumer groups for more targeted advertising. This is a rather challenging task in large-size...
Since 1990's Combinatorial explosion is a crucial topic in software testing domain. In this domain the exhaustive input interaction test is not practical solution to test all software configurations for generating test cases. T-way test strategy provides a solution to overcome the problem. To date, most of the research on designing methods focus on combinations of input parameter values, where the...
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