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Underwater sensor networks (UWSN) are widely used in many applications, such as oceanic resource exploration, pollution monitoring, tsunami warnings and mine reconnaissance. In UWSNs, determining the location information of each sensor node is a critical issue, because many services are based on the localization results. In this paper, we introduce a novel underwater localization approach based on...
Computation and communication intensive applications such as scientific data analysis and data visualization are commonly found in grid computing environment.These applications can be divided into a sequence of pipeline stages which could be executed concurrently on different grid resources to achieve high performance. Finding the optimal placement of pipeline stages on grid is a difficult problem...
This paper presents theoretical results for mapping and scheduling linear workflows onto heterogeneous platforms. We use a realistic architectural model, representative of current multi-threaded systems. Our model has bounded communication capabilities and full computation/communication overlap. In these workflow applications, the goal is often to maximize throughput or to minimize latency. We present...
As users increasingly require better quality of service from grids, resource management and scheduling mechanisms have to evolve in order to satisfy competing demands on limited resources. Traditional schedulers for grids are system centric and favour system performance over increasing userpsilas utility. On the other hand market oriented schedulers are price-based systems that favour users but are...
Next-generation computation-intensive applications in various fields of science and engineering feature large-scale computing workflows with complex structures that are often modeled as directed acyclic graphs. Supporting such task graphs and optimizing their end-to-end network performances in heterogeneous computing environments are critical to the success of these distributed applications that require...
In distributed virtual environments, hosts typically have to react to events within a time span which is less than the network latency. As a consequence, hosts do routinely take actions although the system is in an inconsistent state. This has a noticeable influence on the perceived quality of these actions and their effect on the application. We argue that the level of this influence depends on the...
In a mobile computing system, mobile hosts may move around cells, resulting in a considerable cost for locating and retrieving the recovery information, which is necessary for fault tolerance. To speed up the recovery, traditionally, recovery information is migrated according to the location of the mobile host. In this paper, a scheme for efficiently handling the recovery information is proposed....
Most social networks exhibit community structures, in which nodes are tightly connected to each other within a community but only loosely connected to nodes in other communities. Researches on community mining have received a lot of attention; however, most of them are based on a centralized system model and thus not applicable to the distributed model of P2P networks. In this paper, we propose a...
Fault tolerance is a critical issue in the arena of large-scale computing. The fault-tolerant parallel algorithm (FTPA) is an application-level technique for tolerating hardware failures. FTPA achieves fast failure recovery making use of parallel recomputing. However, it complicates the coding of the application program. This paper uses compiler technology to automate the design of FTPA, and introduces...
Artificial immune systems (AIS) have been widely used in many fields such as data analysis, multimodal function optimization, error detection, etc. In this paper, we introduce a novel artificial immune systems approach for diagnosing faults in a network of processors under the PMC model. We investigate how AIS can be used for system-level fault diagnosis. Our theoretical analysis and experimental...
In this paper the problem of broadcasting in networks with weighted nodes is considered. This model is defined on networks in which nodes are assigned some weights representing the internal process or delay that they should perform before sending data to their neighboring nodes. This model has real world applications in parallel computation and satellite terrestrial networks. The problem is shown...
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