Machine learning algorithms have provided core functionality to many application domains - such as bioinformatics, computational linguistics, etc. However, it is difficult to detect faults in such applications because...
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Dataflow-based application specifications are widely used in model-based design methodologies for signal processing systems. In this paper, we develop a new model called the dataflow schedule graph (DSG) for represent...
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For implementing software as a Service (SaaS) with RDBMS, Shared Table that consolidates multiple tenants onto one relational schema turned out beneficial because of low overheads per tenant and scalable manageability...
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ISBN:
(纸本)9781880843826
For implementing software as a Service (SaaS) with RDBMS, Shared Table that consolidates multiple tenants onto one relational schema turned out beneficial because of low overheads per tenant and scalable manageability. The standard storage concept of Shared Table intermingles tuples of multiple tenants within table pages and index pages. This concept lacks support for tenant-oriented administrative operations and loses fast sequential access to all tuples of a tenant. An alternative storage concept, that gets rid of these issues, partitions table storage by tenant. To judge the applicability of this concept, it is compelling to understand its performance characteristics with respect to query processing. We contribute a comparative performance study between the standard storage concept of Shared Table and tenant-partitioned table storage with non-partitioned global indexes. For this purpose, we additionally contribute a tenant-aware database benchmark. Finally, we conclude that both approaches have their strengths with respect to query processing performance.
The proceedings contain 132 papers. The topics discussed include: supercapacitors used as an energy source to drive the short urban electric vehicles;magnetic coupling analysis in wireless transfer energy;consideratio...
ISBN:
(纸本)9781457705076
The proceedings contain 132 papers. The topics discussed include: supercapacitors used as an energy source to drive the short urban electric vehicles;magnetic coupling analysis in wireless transfer energy;considerations on the simulation models of AC plunger-type magnets;mixed mode verification of PLC based control systems;wheat seeds separation in high-intensity electric field;considerations about the using of cadence software for simulation issues of electrostatic phenomena;efficient modeling of homogenous layers in high frequency integrated circuits;dependence of simulated ECT signal on defect conductivity;magnetic experimental investigation of ferrite nanoparticles used in hybrid biomaterials;analysis of coupled oscillators by state variable method;numerical analysis of a PM synchronous motor used in electrical vehicles;and parallel algorithms for the efficient extraction of fitting based reduced order models.
Today's embedded systems are considering cache as inherent part of their design. Unfortunately, cache memory behavior heavily depends on the past references which model a large execution history and makes WCET ana...
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Our earlier embedded QoS-aware residential gateway (EmQRG) for real-time class-based queuing (CBQ) bandwidth management is reviewed and experimentally demonstrated. EmQRG's high QoS is demonstrated in conjunction ...
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Optimal scheduling of parallel tasks with some precedence is critical for achieving high performance in heterogeneous computing system. The application scheduling is known to be NP-complete in general cases. The compl...
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Due to the relatively low bandwidth of WAN (Wide Area Network) that supports cloud backup services, both the backup time and restore time in the cloud backup environment are in desperate need for reduction to make clo...
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The cost of poor or repeat engineering in complex control systems is extremely high, and flexibility in software design and implementation is one of the key factors in staying competitive in the market. Complexity can...
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The cost of poor or repeat engineering in complex control systems is extremely high, and flexibility in software design and implementation is one of the key factors in staying competitive in the market. Complexity can be managed most effectively if the underlying softwaresystems support structured, standardised, high-level abstraction layers that encapsulate unnecessary details behind well-defined interfaces. Moreover, since the costs of software maintenance are often as high as that of initial development, the ease with which it is possible flexibly to reconfigure, re-engineer, and replace software components in operational systems is also critical. In this paper, we present a lightweight, component-based approach to engineering embedded real-time control software, which is realized in the form of a middleware system named MIREA. The middleware supports dynamic reconfiguration of components written in C/C++, and addresses variability management in relation to non-functional properties, such as quality-of-service (QoS) and real-time scheduling. Users are allowed to componentize existing libraries easily, such as the standard NIST 4D/Real-time Control systems (RCS) library, which has been successfully used in many U.S government-driven intelligent control projects, and to reuse them as dynamically reconfigurable components. A realistic illustration is provided showing how control systems are structured and reconfigured using our approach. In fact, we discuss our approach to control using a fusion of NIST RCS as a means of architecting a real time control system and MIREA as a means of realising that architecture. Our progress to date suggests that MIREA is indeed well suited as a middleware facilitating the construction of efficient, lightweight, and scalable real-time embedded control systems.
Computing and communication devices in any cyber-physical system (CPS) of non-trivial scale exhibit significant heterogeneity. Critical infrastructure systems, which are prime examples of CPSs, are no exception. The e...
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ISBN:
(纸本)9780769543857
Computing and communication devices in any cyber-physical system (CPS) of non-trivial scale exhibit significant heterogeneity. Critical infrastructure systems, which are prime examples of CPSs, are no exception. The extent of networking capability, decentralized control, and more generally, integration between the cyber and physical infrastructures can vary greatly within a large-scale CPS. Other manifestations of heterogeneity in CPSs are in the resolution, syntax, and semantics of data collected by sensors from the physical infrastructure. Similar challenges complicate the use of databases that maintain past sensor data, device settings, or information about the physical infrastructure. The work presented in this paper aims to address these challenges by using the summary schemas model (SSM), which enables heterogeneous data sources to be queried with an unrestricted view and/or terminology. This support for imprecise queries significantly broadens the scope of data that can be used for intelligent decision support and carries the promise of increased reliability and performance for the CPS. We seek to ensure that ambiguity and imprecision do not accompany this expanded scope. The ultimate goal of a CPS is to fortify and streamline the operation of its physical infrastructure. The success of this task is contingent upon correct and efficient interpretation of data describing the state of the physical components, and the constraints to which it is subject. To this end, we propose agent-based semantic interpretation services that extract meaningful and useful information from raw data from heterogeneous sources, aided by the SSM. The proposed approach is described in the context of intelligent water distribution networks, which are cyber-physical critical infrastructure systems responsible for reliable delivery of potable water. The methodology is general, and can be extended to a broad range of CPSs, including smart power grids and intelligent transportation system
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