Mobile Edge Computing (MEC) brings abundant cloud resources to the edge of network and provides great opportunities improve user's quality experience. While many recent studies have investigated problem computation offloading, service caching is also an important design topic MEC. Service stores application-related databases or libraries in advance enables corresponding user tasks be offloaded. Due limited server, decisions made judiciously maximize system performance. In this paper, we...

The power supplying frontier in microgrids is moving from traditional fossil fuels towards clean renewable energy. Given the temporal asynchrony between intermittent generation and uncertain loads, it vital to develop an efficient energy scheduling, storing, distributing scheme improve utilization (REU) system economics. In this paper, we introduce a power-to-hydrogen (P2H) facility convert surplus into hydrogen through electrolysis. conversion process bidirectional where can be re-generated...

Mobile-edge computing (MEC) has evolved as a promising technology to alleviate the pressure of mobile devices by offloading computation tasks MEC server. Energy management is challenging since unpredictability energy harvesting (EH) and quality service (QoS). In this paper, we investigate problem power consumption in multiuser system with EH devices. The consumption, which includes local execution transmission power, designated main performance index. First, formulate minimization battery...

For Internet and cloud computing service providers, running massive geo-distributed data centers incurs prodigious electricity cost water consumption as well carbon emission rooted in generation. Thus, it is critical significant for providers to lower down the operation of centers. In this article, we investigate problem energy management with renewable resources storages. We aim minimize long-term including cost, consumption, by leveraging spatiotemporal diversity these system states. To...

A microgrid scenario that consists of electric vehicle (EV) station, combined heat and power (CHP) co-generation, main grid, external natural gas as well thermal energy storage water tank is considered in this paper. By jointly considering the uncertainty real-time electricity price, demands EVs' behaviours, batteries are used adjusters to reduce time-averaged operation cost, which includes acquiring cost from for CHP generation only generation. We propose a management algorithm EV based by...

In this brief, the online energy management problem of a grid-connected microgrid is studied. The considered typical system that consists renewable generations (RG), local co-generations with combined heat and power supply, electricity storage systems (ESS) (e.g., battery thermal tank), centralized grid (PG), as well external natural gas station. This brief aims to minimize aggregate microgrid's operation cost by formulating it stochastic nonconvex optimization programming, which challenging...

This paper proposes an online algorithm for energy storage management in networked microgrids (MGs) with co-generation based on the concept of quality-of-service electricity (QoSE). The MG distributed renewable supply and makes power smarter electricity/heat using, which has advantages increasing efficiency reliability by coordinately scheduling a way. demands include quality usage load heat. central controller aims to minimize operation cost guarantee outage probability usage, i.e., QoSE,...

Integrating power grid and renewable energy to charge mobile-edge computing (MEC) server is a promising solution for green networks, which can reduce the consumption of carbon emission. Intelligent management bandwidth resources in two time-scale framework increase efficiency network revenue MEC networks with heterogeneous supplies multiple mobile users (MUs). In this paper, we investigate joint (for workloads offloading execution) allocation transmission) problem that maximizes hybrid...

Mobile-edge computing (MEC) has evolved as a promising technology to alleviate the pressure of mobile devices by offloading computation tasks MEC server. Energy management is challenging since unpredictability energy harvesting and quality service (QoS). In this paper, we investigate problem power consumption in multi-user system with (EH) devices. The consumption, which includes local execution transmission power, designated main performance index. First, formulate minimization battery...

In this paper, we study the energy-efficient (EE) cost minimization problem of green cellular networks, where base stations (BSs) are jointly powered by energy storages, i.e., batteries, external power grid with random electricity price, and local hybrid generators considering independent on/off strategies in long period turn-on/off cost. The consumption each BS is correlated number associated mobile users (MUs) their mobility. We formulate a stochastic optimization decompose it into two...

Vehicular edge computing (VEC) enables vehicles to perform computation-intensive and delay-sensitive tasks through task offloading. Previous works either focused on offloading based vehicle-to-infrastructure (V2I) mode or assumed the existence of sufficient spectrum resources. However, given exponential increase in number vehicles, it is essential explore influence both scarcity inter-vehicle cooperation VEC network performance. In this paper, we investigate a joint sharing scheme minimize...

Microgrids integrated with distributed renewable energy is regarded as a crucial evolution towards economical and environmentally sustainable power systems. Carbon capture utilization (CCU) technologies peer-to-peer (P2P) trading schemes are two potential strategies for mitigating carbon emissions by capturing the emitted <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\rm...

Energy consumption in the base stations (BSs) recently has aroused significant concerns especially when renewable power been widely applied. In this paper, we jointly integrate from grid and energy to investigate management BSs with sleep- awake capability for cellular networks. our system model, are equipped two charging batteries operating at double timescales, exhibiting a more practical performance heterogeneous storage capability. We formulate problem as challenging nonlinear...

With the rapid development of cloud computing, data centers are increasing in quantity and scale for large Internet service providers to provide global services. The enormous operation cost attracts lots researchers' attention their huge energy consumption have brought great challenges sustainable green centers. In this paper, we investigate workload scheduling management issues geo- distributed with renewable resources storages. We formulate minimization problem including electricity cost,...

In this paper, we consider an online decision problem, where a maker has option to buy discount plan for his/her regular expenses. The costs immediate upfront charge plus commitment per time slot. Upon expiration, the period can be extended if continues paying charge, or canceled he she decides not pay anymore. We investigate algorithms decide when and cancel it without knowledge of future expenses, aiming at minimizing overall cost. problem is extension classic Bahncard Problem, which...

Power-delay tradeoff scheme in smart device (SD) tasks execution by the joint optimization of dynamic voltage and frequency scaling (DVFS) problem has been studied over last few years. Since, it is a great achievement for reducing power consumption but there still need reduction to its maximum extent without affecting computational experience. In this paper, we proposed new system model with use Mobile-Edge Computing (MEC) server improve standards processing serving networking cellular...

Notice of Violation IEEE Publication Principles<br><br> "Energy Scheduling in Mobile Device Using Heterogeneous Batteries"<br> by S. M. Ikram, Abis Naqvi, Zhirong Shen, and Guanglin Zhang<br> 2018 19th International Conference on Communication Technology (ICCT), October 2018, pp.983-987<br><br> After careful considered review the content authorship this paper a duly constituted expert committee, has been found to be violation IEEE's Principles.<br><br> This copied portions text from cited...

Notice of Violation IEEE Publication Principles<br><br> "Adaptive Energy Management in Mobile Devices Using Heterogeneous Storage Units"<br> by S. M. Ikram, Abis Naqvi, Zhirong Shen, and Guanglin Zhang<br> 2018 19th International Conference on Communication Technology (ICCT), October 2018, pp. 973-977<br><br> After careful considered review the content authorship this paper a duly constituted expert committee, has been found to be violation IEEE's Principles.<br><br> This copied portions...

This work studies an electric vehicles (EVs) loaded microgrid with renewable energy resources, storage system (ESS) and external power grid. The microgrid's management problem is formulated to maximize its daily average operation revenue balance the supply demand based on statistical information, i.e., electricity market price, arrivals EVs' charging characteristics. For online optimization, we develop a reinforcement learning (RL) approach smartly control ESS in real-time by considering...