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Distributed real-time computing system JStrom significantly improves performance on real-time data computing. However, JStorm may lead to a single point of failure, and upgrading JStorm system may cause instability of system. To efficiently solve these problems, we propose a task detection model based on the heartbeat detection and a two-level cluster load balancing model separately. We discover the...
The number of highly sophisticated software-based attacks on ATMs is growing these days. New types of threats require new ways of system protection. Most secure solutions are based on whitelists and sandboxes, which unlike antivirus solutions are able to protect the system against any new threat. Sadly, they are hard to configure therefore require an expert-level knowledge of operating system mechanisms...
Driven by the proliferation of data traffic and requirement of user experience improvement, mobile wireless network is evolving towards heterogeneous networks (HetNet). The telecom operator is experiencing unprecedented challenges on service maintenance and operational expenditure, which drives the demand for realizing automation in current heterogeneous networks. Cell outage detection is a functionality...
This paper introduces EveTrack, an online and distributed method for localization and tracking of global and composite events. Based on hyper-ellipsoid clustering model, we compute the percentage contributions of the individual attributes in multi-attribute and correlated events. In addition, EveTrack utilizes spatio-temporal correlations between multiple events during its event identification phase...
In order to reduce the workload of the airspace controllers and enhance the safety in management, this paper proposed a cycle of bi-partitioned algorithm based on N-cut spectral clustering method and used Dijkstra algorithm with cycled bi-partitioned to divide the airspace sector. What the constraint conditions of minimizing the coordination workload and balancing the monitoring workload were added...
In batch systems monitoring information at the level of individual jobs is crucial to optimize resource utilization and prevent misusage. However, especially the usage of network resources is difficult to track. In order to understand usage patterns in modern computing clusters, a more detailed monitoring than existent solutions is required. A monitoring on job level leads to dynamic graphs of processes...
Existing Big Data streams coming from social and other connected sensor networks exhibit intrinsic inter-dependency enabling unique challenges to scalable graph analytics. Data from these graphs is usually collected in different geographically located data servers making it suitable for distributed processing on clouds. While numerous solutions for large scale static graph analysis have been proposed,...
Because of the shortcomings of the traditional K-means algorithm which is sensitive to select the initial clustering centers and easy converges to local optimization, the paper proposes An Clustering K-means Algorithm Based on Improved the Particle Swarm Optimization Algorithm. The algorithm uses a powerful global search capability of the Particle Swarm Optimization algorithm to optimize the selection...
Wireless sensors networks plays an important role for accurate monitoring for various applications such as military surveillance where exact monitoring is required. Critical issue with wireless sensor network is sensor node energy as energy utilization of sensor nodes increases the communication cost. This paper used effective N-DRINA routing algorithm which improves the data fusion and aggregation...
Dynamic networks are commonly found in the current web age. In scenarios like social networks and social media, dynamic networks are noisy, are of large-scale and evolve quickly. In this paper, we focus on the cluster evolution tracking problem on highly dynamic networks, with clear application to event evolution tracking. There are several previous works on data stream clustering using a node-by-node...
With the rapid development of the mobile wireless system, the operator is experiencing unprecedented challenges on service maintenance and operational expenditure, which drives the demand for realizing automation in current networks. The cell outage detection is considered as an effective way to automatically detect network fault. Our work presents an automated cell outage detection mechanism in which...
Clusterings in dynamic networks are also dynamic. This means that they change over time. In this paper we present a visualization to show these changing behavior. For this purpose we used and modified the MONIC framework to track the clusters over time. Possible transactions during the lifetime of a cluster are birth, death, growth, contraction, splitting, and merging. We extend this list by rebirth,...
Developments in sensors, miniaturization of low-power microelectronics, and wireless networks are becoming a significant opportunity for improving the quality of health care services. Since the population is growing, the need for high quality and efficient healthcare, both at home and in hospital, is becoming more important. This paper presents the innovative wireless sensor network based Mobile Real-time...
Focusing on the application of mixed data fuzzy clustering in network monitoring, based on a dynamic growth and delete self-organizing maps model (DGDSOM), an algorithm of fuzzy dynamic growth and delete self-organizing maps (FDGDSOM) is proposed. This algorithm introduces the triggering system and designs the triggering module, and makes the intelligent judgment and decision according to the real-time...
In testing Cloud environment testing tasks requested by different tenants have many uncertainties. The arriving time, deadline and the number of tasks are unknown in advance. Especially, the relationships between testing tasks and testing environments are very complex. How to efficiently manage these tasks is really a challenging problem. This paper studies the special features of testing tasks and...
The most important challenge in Wireless Sensor Networks (WSNs) is to improve the operational efficiency in highly resource constrained environment based on dynamic and unpredictable behaviour of network parameters and applications requirement. In this paper we have proposed a method for clustering and their analysis to study the cluster formation, their behaviour with respect to the system parameters...
This paper proposes a smart channel assignment scheme (S-CAS) for wireless sensor networks. S-CAS performs statistical analysis of load pattern of the individual cluster and adjusts channel assignment dynamically as per requirement generated by the current traffic load. It follows a static schedule during infrastructure establishment based on initial traffic conditions and previous history and later,...
Aggregations of sensed data are very important for users to get summary information about monitored area in applications of wireless sensor networks (WSNs). As the approximate aggregation results are enough for users to perform analysis and make decisions, many approximate aggregation algorithms are proposed for WSNs. However, most of the algorithms have fixed error bounds and cannot meet arbitrary...
One of the challenging issues in Computational Grid is performing Decentralized Load Balancing. This paper proposed a new load balancing algorithm which will appears in the meta-scheduler. In many approaches load balancing is done only at the local scheduler level, which is applicable to small application and leads to more communication overhead between the nodes. For the large scale application load...
One of the most important issues in a wireless sensor network is energy efficiency, in order to extend the lifetime of the network. An effective strategy is to turn off the redundant sensor nodes in the network to spare energy. In this paper, we propose and analyze an adaptive regression algorithm for dynamic environments that can continuously monitor two arbitrary sensors in a sensor field and decide...
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