Relational Database-as-a-Service (DaaS) platforms today support the abstraction of a resource container that guarantees fixed amount resources. Tenants are responsible for selecting size suitable their workloads, which they can change to leverage cloud's elasticity. However, automating this task is daunting most tenants since estimating demands arbitrary SQL workloads in an RDBMS complex and challenging. In addition, requirements vary significantly within minutes hours, sizes by orders...

Relational database-as-a-service (DaaS) providers need to rely on multi-tenancy and resource sharing among tenants, since statically reserving resources for a tenant is not cost effective. A major consequence of that the performance one can be adversely affected by demands other co-located tenants. One such essential good tenant's workload buffer pool memory. In this paper, we study problem how effectively share memory in multi-tenant relational DaaS. We first develop an SLA framework...

In recent years, Industrial Internet of Things (IIoT) has attracted growing attention from both academia and industry. Meanwhile, when traditional wireless sensor networks are applied to complex industrial field with high requirements for real time robustness, how design an efficient practical cross-layer transmission mechanism needs be fully investigated. this paper, we propose a Q-learning-based dynamic spectrum access method IIoT by introducing cognitive self-learning technical solution...

Cooperative transmission is an efficient method for wireless sensor networks (WSNs) to decrease power consumption of nodes and combat the fast fading inherent multipath channels. During course, a key issue how relay handles balance between assisting other nodes’ communication accomplishing its own tasks. To address this problem, study investigates potential bargaining resource allocation in WSNs over Rayleigh environments by considering energy fairness cooperative transmission. Specifically,...

In cognitive radio (CR), the spectrum sensing of primary user (PU) may consume some electrical power from battery capacity secondary (SU), yielding to decrease transmission SU. this paper, a multislot simultaneous and energy harvesting model is proposed, which uses harvested frequency (RF) PU signal supply sensing. proposed model, duration divided into multiple slots consisted one local-sensing subslot energy-harvesting subslot. If presence detected in subslot, SU will harvest RF slot,...

WirelessHART has become an industrial standard for robust and real-time wireless monitoring control. While energy-efficiency is one of the key design considerations networks with battery-operated devices, data aggregation been widely studied in sensor network (WSN) environments to reduce traffic prolong lifetime network. However, existing techniques cannot be applied directly due multi-channel Time Synchronized Mesh Protocol (TSMP) superframe-based communication slot scheduling WirelessHART....

A compensation method for a magnetoelectric velocity sensor (MVS) is always necessary, which can lower the resonance frequency of measuring system and subsequently extend bandwidth. In this paper, novel proposed based on BP neural network under TensorFlow architecture. Comparing with existing methods, new does not depend upon an accurate model MVS any more, whose parameters are badly influenced by temperature. The dynamic compensator connected sensor. algorithm used to identify parameters....

In this paper, we study the power allocation for both regenerative and non-regenerative relay transmission over Rayleigh fading channels in cognitive networks. Based on analyses of features networks, a relevant interference model is first built channels. Then, propose combined strategy order to minimize outage probabilities cooperative communications. For system, give closed-form expression by taking into account characteristics utilize pattern search algorithm solve optimization problem...

Energy efficiency (EE) is critical to achieve cooperative sensing and transmission in relay-assisted cognitive radio networks (CRNs) with limited battery capacity. This paper proposes an energy-efficient strategy combined censoring report spatial diversity process, namely, censoring-based relay (CRT). Specifically, secondary relays (SRs) take part differential reduce energy consumption, the best SR assists enhance communication quality stage thus improve EE. First, we derived...

In a smart grid, the economic dispatch problem is an optimization whose objective to reduce total generation cost, subject some constraints. The Incremental Cost Consensus (ICC) algorithm and Leaderless (LICC) resolve in distributed fashion. Unlike prior work that implements ICC LICC simulation, this paper, we implement grid system: Future Renewable Electric Energy Delivery Management (FREEDM) system. FREEDM, energy resources are managed through Distributed Grid Intelligence (DGI), which...

In this paper, we introduce a hybrid strategy containing pattern search (PS) optimization and genetic algorithm (GA) to resolve the problem of power allocation in cognitive radio networks. Considering fluctuant interference thresholds networks, an approach for solving coexistence between licensed users is proposed first. Then, based on analyses outage probability users, corresponding objective function with regard over Rayleigh fading channels obtained. Due nonlinearity complexity problem,...