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Journal of Systems Science & Complexity 2015年第1期28卷 60-79页

作者： WEN Chengjian LONG Xiang MU Yifen School of Computer Science and Engineering Beihang University Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of Sciences

In recent years,power saving problem has become more and more important in many fields and attracted a lot of research *** this paper,the authors consider the power saving problem in the virtualized computing *** there are multiple objectives in the system as well as many factors influencing the objectives,the problem is complex and *** authors will formulate the problem as an optimization problem of power consumption with a prior requirement on performance,which is taken as the response time in the *** solve the problem,the authors design the adaptive controller based on least-square self-tuning regulator to dynamically regulate the computing resource so as to track a given reasonable reference performance and then minimize the power consumption using the tracking result supplied by the controller at each *** is implemented based on the data collected from real machines and the time delay of turning on/off the machine is included in the *** results show that this method based on adaptive control theory can save power consumption greatly with satisfying the performance requirement at the same time,thus it is suitable and effective to solve the problem.

关键词： Adaptive control green computing least square self-tuning regulator (LS-STR) performance constraint power saving.

Coordinating workload balancing and power switching in renewable energy powered data center

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Frontiers of Computer Science 2016年第3期10卷 574-587页

作者： Xian LI Rui WANG Zhongzhi LUAN Yi LIU Depei QIAN State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China School of Computer Science and Engineering Beihang University Beijing 100191 China

There has been growing concern about energy consumption and environmental impact of datacenters. Some pioneers begin to power datacenters with renewable energy to offset carbon footprint. However, it is challenging to integrate intermittent renewable energy into datacenter power system. Grid-tied system is widely deployed in renewable energy powered datacenters. But the drawbacks （e.g. Harmonic dis- turbance and costliness） of grid tie inverter harass this design. Besides, the mixture of green load and brown load makes power management heavily depend on software measurement and monitoring, which often suffers inaccuracy. We propose DualPower, a novel power provisioning architecture that en- ables green datacenters to integrate renewable power supply without grid tie inverters. To optimize DualPower operation, we propose a specially designed power management frame- work to coordinate workload balancing with power supply switching. We evaluate three optimization schemes （LM, PS and JO） under different datacenter operation scenarios on our trace-driven simulation platform. The experimental results show that DualPower can be as efficient as grid-tied system and has good scalability. In contrast to previous works, Du- alPower integrates renewable power at lower cost and main- tains full availability of datacenter servers.

关键词： renewable energy green computing power pro-visioning power management

Triangular code:Near-optimal linear time fountain code

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数字通信与网络:英文版 2023年第4期9卷 869-878页

作者： Jalaluddin Qureshi Chuan Heng Foh Openbet North America MontrealCanada GIC&6GIC Institute for Communication Systems(ICS)University of SurreyGuildfordUnited Kingdom

In this paper,we propose Triangular Code(TC),a new class of fountain code with near-zero redundancy and linear encoding and decoding computational complexities of OeLklog kT,where k is the packet batch size and L is the packet data *** from previous works where the optimal performance of codes has been shown under asymptotic assumption,TC enjoys near-zero redundancy even under non-asymptotic settings for smallmoderate number of *** features make TC suitable for practical implementation in batteryconstrained devices in IoT,D2D and M2M network paradigms to achieve scalable reliability,and minimize latency due to its low decoding *** is a non-linear code,which is encoded using the simple shift and XOR addition operations,and decoded using the simple back-substitution *** it is nonlinear code at the packet level,it remains linear code when atomized at the bit *** use this property to show that the backsubstitution decoder of TC is equivalent to the Belief Propagation(BP)decoder of LT ***,TC can benefit from rich prolific literature published on LT code,to design efficient code for various *** the equivalency between the decoders of TC and LT code,we show that compared to state-of-the-art optimized LT code,TC reduces the redundancy of LT code by 68%-99% for k reaching 1024.

关键词： LT code Decoder Computational complexity green computing Network coding

Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters

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Journal of Computer Science & Technology 2014年第4期29卷 618-630页

作者：李超王锐胡杨周睿晋刘铭刘龙军袁景凌李涛钱德沛 ACM IEEE Department of Electrical and Computer Engineering University of Florida Gainesville FL 32611 U.S.A. CCF School of Computer Science and Engineering Beihang University Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University School of Computer Science and Technology Wuhan University of Technology

Designing eco-friendly system has been at the forefront of computing research. Faced with a growing concern about the server energy expenditure and the climate change, both industry and academia start to show high interest in computing systems powered by renewable energy sources. Existing proposals on this issue mainly focus on optimizing resource utilization or workload performance. The key supporting hardware structures for cross-layer power management and emergency handling mechanisms are often left unexplored. This paper presents greenPod, a research framework for exploring scalable and dependable renewable power management in datacenters. An important feature of greenPod is that it enables joint management of server power supplies and virtualized server workloads. Its interactive communication portal between servers and power supplies allows dataeenter operators to perform real-time renewable energy driven load migration and power emergency handling. Based on our system prototype, we discuss an important topic： virtual machine （VM） workloads survival when facing extended utility outage and insufficient onsite renewable power budget. We show that whether a VM can survive depends on the operating frequencies and workload characteristics. The proposed framework can greatly encourage and facilitate innovative research in dependable green computing.

关键词： data center server system renewable energy green computing

A Service Level Agreement Aware Online Algorithm for Virtual Machine Migration

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Computers, Materials & Continua 2023年第1期74卷 279-291页

作者： Iftikhar Ahmad Ambreen Shahnaz Muhammad Asfand-e-Yar Wajeeha Khalil Yasmin Bano Department of Computer Science and Information Technology University of Engineering and TechnologyPeshawar25120Pakistan Department of Computer Science Shaheed Benazir Bhutto Women UniversityPeshawar25000Pakistan Center of Excellence in Artificial Intelligence Department of Computer ScienceBahria UniversityIslamabadPakistan

The demand for cloud computing has increased manifold in the recent *** specifically,on-demand computing has seen a rapid rise as organizations rely mostly on cloud service providers for their day-to-day computing *** cloud service provider fulfills different user requirements using virtualization-where a single physical machine can host multiple *** virtualmachine potentially represents a different user environment such as operating system,programming environment,and ***,these cloud services use a large amount of electrical energy and produce greenhouse *** reduce the electricity cost and greenhouse gases,energy efficient algorithms must be *** specific area where energy efficient algorithms are required is virtual machine *** virtualmachine consolidation,the objective is to utilize the minimumpossible number of hosts to accommodate the required virtual machines,keeping in mind the service level agreement *** research work formulates the virtual machine migration as an online problem and develops optimal offline and online algorithms for the single host virtual machine migration problem under a service level agreement constraint for an over-utilized *** online algorithm is analyzed using a competitive analysis *** addition,an experimental analysis of the proposed algorithm on real-world data is conducted to showcase the improved performance of the proposed algorithm against the benchmark *** proposed online algorithm consumed 25%less energy and performed 43%fewer migrations than the benchmark algorithms.

关键词： Cloud computing green computing online algorithms virtual machine migration

green5G: Enhancing Capacity and Coverage in Device-to-Device Communication

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Computers, Materials & Continua 2021年第5期67卷 1933-1950页

作者： Abdul Rehman Javed Rabia Abid Bakhtawar Aslam Hafiza Ammara Khalid Mohammad Zubair Khan Omar H.Alhazmi Muhammad Rizwan Department of Cyber Security Air UniversityIslamabadPakistan Department of Computer Science Kinnaird College for WomenLahore54000Pakistan Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinahSaudi Arabia

With the popularity of green computing and the huge usage of networks,there is an acute need for expansion of the 5G network.5G is used where energy efficiency is the highest priority,and it can play a pinnacle role in helping every industry to hit *** in the 5G network,conventional performance guides,such as network capacity and coverage are still major issues and need *** to Device communication(D2D)communication technology plays an important role to improve the capacity and coverage of 5G technology using different *** issue of energy utilization in the IoT based system is a significant exploration *** optimizationin D2D communication is an important *** need to resolve this issue for increasing system *** IoT speaks to the issue of lessening energy utilization of IoT gadgets which accomplishes a supportable climate for IoT *** this paper,we improve the capacity and coverage of 5G technology using Multiple Inputs Multiple Outputs(MU-MIMO).MUMIMO increases the capacity of 5G in D2D *** also present all the problems faced by 5G technology and proposed architecture to enhance system performance.

关键词： green computing 5G energy efficiency resource optimization device to device communication multiple input multiple output

Joint Communication and Processor Frequency Selection for Low-Energy Systems under Timing Constraints

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China Communications 2010年第4期7卷 132-136页

作者： WANG Yingfeng LIU Zhijing School of Computer Science and Technology Xidian University xi＇an China

This paper presents a method to reduce the energy consumption of multi-core systems characterized by processor cores and buses with discrete frequency levels under timing *** proposed method takes the transformations of the original task graphs,which include dependent tasks located in different iterations,as *** proposed method utilizes mapping selection as well as joint processor and communication frequency scaling to implement energy *** conduct experiments on several random task *** results show that the proposed method can achieve substantial energy reduction compared with previous work under the same hard timing constraints.

关键词： green computing Dynamic Voltage Scaling Multi-core Adaptive Body Bias

Autonomous on-Chip Debugging for Sensors Based on AVR Microcontrollers

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Journal of Sensor Technology 2021年第2期11卷 19-38页

作者： Antoine Bossard Graduate School of Science Kanagawa University Kanagawa Japan

Sensors are often based on minimalistic microcontrollers for their reduced power consumption and size. Because of the specific hardware of sensors, their software development, including debugging, is also particular. Simulators and external computers are conventional approaches to sensor debugging, but they both face limitations such as the supported hardware and debugging conditions. In this paper, we propose a fully autonomous on-chip debugging solution for sensors (and other devices) based on AVR microcontrollers, with a particular focus on human-machine interaction. The proposal is then validated in practice through various experiments, notably involving real-world sensors. Formal measurement of the induced overhead is also conducted, which eventually demonstrates the applicability of the proposal.

关键词： RISC Computer Architecture ISA Software Assembly Electronics green computing HMI

Supply and Demand Oriented Energy Management in the Internet of Things

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Advances in Internet of Things 2016年第1期6卷 1-17页

作者： Qingjuan Li Hong Liu Huansheng Ning Yang Fu Songde Hu Shunkun Yang School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Engineering Research Institute Run Technologies Co. Ltd. Beijing Beijing China Shenyang Branch Texas Instruments Semiconductor Technologies (Shanghai) Co. Ltd. Shanghai China School of Reliability and Systems Engineering Beihang University Beijing China

The Internet of Things (IoT) is emerging as an attractive paradigm involving physical perceptions, cyber interactions, social correlations and even cognitive thinking through a cyber-physical-social-thinking hyperspace. In this context, energy management with the purposes of energy saving and high efficiency is a challenging issue. In this work, a taxonomy model is established in reference to the IoT layers (i.e., sensor-actuator layer, network layer, and application layer), and IoT energy management is addressed from the perspectives of supply and demand to achieve green perception, communication, and computing. A smart home scenario is presented as a case study involving the main enabling technologies with supply-side, demand-side, and supply-demand balance considerations, and open issues in the field of IoT energy management are also discussed.

关键词： Internet of Things Internet of Energy Energy Management Smart Home Communication green computing