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Wearable devices, such as wristbands, smart-watches, eyewear, and wearable bio-monitors have become the focus of much attention in past year. One in ten U.S. consumers over the age of 18 now owns a modern activity tracker. These ubiquitous devices are a natural platform for formation of ad hoc networks. With almost 40% of users are above the age of 45, these older adopters are focused on improving...
Most applications running on supercomputers achieve only a fraction of a system's peak performance. It has been demonstrated that the co-scheduling of applications can improve the overall system utilization. However, following this approach, applications need to fulfill certain criteria such that the mutual slowdown is kept at a minimum. In this paper, we present an HPC scheduler that applies co-scheduling...
The quality of service is one of challenges posed by the Cloud Computing. This issue plays an important role in making the Cloud services acceptable to customers, denotes the levels of performance, reliability, and availability offered by Cloud services. Literature has reported many implementations for measuring and ensuring QoS in Cloud Computing systems to achieve better results and meet the needs...
Several monitoring oriented applications in Wireless Sensor Networks (WSNs) are characterized by the necessity of two data-reporting modes: time-driven and event-driven. The former is used mainly for constantly supervising an area and the latter for event detection and target tracking. By switching between both modes a WSN can improve its energy-efficiency and accuracy of measurement processes, compared...
The task scheduling of military equipment maintenance plays an increasingly vital role, however, the traditional scheduling algorithms lack environmental adaptability, and the optimizing process is uncontrollable. Therefore, combined with the genetic algorithm, an improved hybrid particle swarm optimization (HPSO) model is built. Based on the mathematical description of this problem, the discretization...
Reproducibility of the execution of scientific applications on parallel and distributed systems is a growing interest, underlying the trustworthiness of the experiments and the conclusions derived from experiments. Dynamic loop scheduling (DLS) techniques are an effective approach towards performance improvement of scientific applications via load balancing. These techniques address algorithmic and...
With the rapid development of the UHV power grid, the data interaction between the dispatching agencies has increased significantly, and the inter-agency integration features have become increasingly obvious. However, at present, the service bus in the dispatching control system is mainly for a single scheduling mechanism, only to achieve wide area sharing of specific application services and not...
There is a growing need for in-memory database analytic services, especially in cloud settings. Concurrent query execution is common in such environments. A crucial deployment requirement is to employ a concurrent query execution scheduling framework that is flexible, precise, and adaptive to meet specified deployment goals. In addition, the framework must also aim to use all the underlying hardware...
Efficient utilization of energy of the network is one of the major issues faced by wireless sensor network, when sensors are placed in a hostile environment. One of the methods to solve this problem is to activate only a few sensors which satisfy the coverage constraints. This can be done by partitioning a set of all sensors into many subsets or sensor covers such that each sensor cover satisfies...
As sensor networks are increasingly deployed for critical applications, reliability and latency guarantee become more important than ever to meet industrial requirements. In this paper, we investigated the impact of link burstiness on stream scheduling using a data trace of 3,600,000 packets collected from an indoor testbed. We demonstrate that a good tradeoff between reliability and latency can be...
Process parameter estimation, to a large extent, determines the quality of the industrial production. Traditionally, limited sensors are deployed in production field by elaborate wiring, which cannot provide the accurate estimate in the hostile industrial environment. Recently, industrial wireless sensor network (IWSN) has been considered as one promising technology to improve the process parameter...
Workflows are a widely used abstraction for describing large scientific applications and running them on distributed systems. However, most workflow systems have been silent on the question of what execution environment each task in the workflow is expected to run in. Consequently, a workflow may run successfully in the environment it was created, but fail on other platforms due to the differences...
Radio Frequency IDentification (RFID) plays a vital role in smart computing applications. Due to the limited communication range of individual RFID readers, large RFID systems deployed in real applications usually contain multiple readers. Existing reader scheduling algorithms either disallow adjacent readers to simultaneously work in order to avoid collisions among them, or simply activate all the...
Enhancing network lifetime in wireless sensor network is related with target coverage problem while continuously monitoring a set of targets. Target coverage problem is nothing but each target should be in the coverage range of at least one sensor node. A sensor cover is a set of sensors that covers all the targets. Target coverage is achieved by proper deployment of sensor nodes and network lifetime...
Satellite remote sensing technology can extract disaster information rapidly and accurately for disaster monitoring on a regional or national basis. However, various sensors are generating huge volumes of remote sensing data for disaster management. It is urgent to handle such massive remote sensing images. In this paper, it provides the solutions for massive remote sensing data analysis and rapid...
This paper describes our experience with extending ExSched, an operating system independent external CPU scheduler framework for real-time systems, with support for mixed criticality. We used the so-called adaptive mixed criticality (AMC) scheme as a starting point for mixed criticality. We extended that scheme from two to more than two criticality levels and complemented it with specified behavior...
Cloud data centers largely rely on virtualization to provision resources and host services across their infrastructure. The scheduling problem has been widely studied and is well understood when the resource requirements and the expected lifetime of services are known beforehand. In contrast, when workloads are not known in advance, effective scheduling of services, and more generally system containers,...
One of the major functions of a Wireless Sensor Network (WSN) is to provide the coverage to the network area. Many critical applications require different levels of coverage in the different parts of the network area which is generally called differential coverage. Providing differential coverage service in different period of time is a challenging due to the limited capabilities of the network nodes...
In this paper we investigate the general problem of controlling a scientic workflow service in termsof data management. We focus on the data managementproblem for the RedisDG scientific workflow engine.RedisDG is based on the Publish/Subscribe paradigmfor the interaction between the different componentsof the system, hence new issues appear for scheduling. Indeed, the Publish/Subscribe paradigm utilization...
A large number of wireless sensor nodes (SNs) are usually deployed in a remote area, where these nodes accurately monitor the environment and communicate the data collected by the SNs, to a central processing station wirelessly. Since the SNs are powered by batteries, therefore, to prolong the network operating life, they must utilize energy efficiently. In this paper, we propose a method to control...
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