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20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

作者： Zhou, Qiheng Xu, Minxian Gill, Sukhpal Singh Gao, Chengxi Tian, Wenhong Xu, Chengzhong Buyya, Rajkumar Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China Queen Mary Univ London Sch Elect Engn & Comp Sci London England Univ Elect Sci & Technol China Sch Software & Informat Engn Chengdu Sichuan Peoples R China Macao Univ Fac Sci & Technol Taipa Macao Peoples R China Univ Melbourne Sch Comp & Informat Syst Melbourne Vic Australia

ISBN: (纸本)9781728160955

Cloud Computing paradigm has revolutionized IT industry and be able to offer computing as the fifth utility. With the pay-as-you-go model, cloud computing enables to offer the resources dynamically for customers anytime. Drawing the attention from both academia and industry, cloud computing is viewed as one of the backbones of the modern economy. However, the high energy consumption of cloud data centers contributes to high operational costs and carbon emission to the environment. Therefore, Green cloud computing is required to ensure energy efficiency and sustainability, which can be achieved via energy efficient techniques. One of the dominant approaches is to apply energy efficient algorithms to optimize resource usage and energy consumption. Currently, various virtual machine consolidation-based energy efficient algorithms have been proposed to reduce the energy of cloud computing environment. However, most of them are not compared comprehensively under the same scenario, and their performance is not evaluated with the same experimental settings. This makes users hard to select the appropriate algorithm for their objectives. To provide insights for existing energy efficient algorithms and help researchers to choose the most suitable algorithm, in this paper, we compare several state-of-the-art energy efficient algorithms in depth from multiple perspectives, including architecture, modelling and metrics. In addition, we also implement and evaluate these algorithms with the same experimental settings in CloudSim toolkit. The experimental results show the performance comparison of these algorithms with comprehensive results. Finally, detailed discussions of these algorithms are provided.

关键词： Cloud Computing Data Centers energy efficient algorithms Virtual Machine Consolidation QoS

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Performance Evaluation of Multilayer Clustering Network Using Distributed energy efficient Clustering with Enhanced Threshold Protocol

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WIRELESS PERSONAL COMMUNICATIONS 2022年第3期126卷 2175-2189页

作者： Bhola, Jyoti Shabaz, Mohammad Dhiman, Gaurav Vimal, S. Subbulakshmi, P. Soni, Sunil Kumar NIT Dept ECE Hamirpur India Chitkara Univ Inst Engn & Technol Rajpura Punjab India Punjabi Univ Govt Bikram Coll Commerce Dept Comp Sci Patiala 147001 Punjab India Ramco Inst Technol Dept Comp Sci & Engn Rajapalayam Tamil Nadu India Vellore Inst Technol Sch Comp Sci & Engn Chennai Tamil Nadu India Punjabi Univ Patiala Punjab India

In this research, pure deterministic system has been established by a new Distributed energy efficient Clustering Protocol with Enhanced Threshold (DEECET) by clustering sensor nodes to originate the wireless sensor network. The DEECET is very dynamic, highly distributive, self-confessed and much energy efficient as compared to most of the other existing protocols. The MATLAB simulation provides aim proved result by means of energy dissipation being emulated in the networks lifespan for homogeneous as well as heterogeneous sensor network, which when contrasted for other traditional protocols. An enhanced result has been obtained for equitable energy dissipation for systematized networks using DEECET.

关键词： WSN DEEC DEECET Cluster head energy efficient algorithms Clustering energy

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Enhanced Multiple-Instance Pruning For Learning Soft Cascade Detectors 16

Enhanced Multiple-Instance Pruning For Learning Soft Cascade...

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16th International Conference on Machine Vision (ICMV)

作者： Matalov, Daniil P. Arlazarov, Vladimir V. Smart Engines Serv LLC Moscow Russia Russian Acad Sci Fed Res Ctr Comp Sci & Control Moscow Russia

ISBN: (纸本)9781510674639;9781510674622

Object detection is one of the most common problems solved by computer vision systems. Even though neural network methods have become a standard tool for solving the problems, these methods have many disadvantages, which include high computational power requirements both for training and inference stages and tremendous training sets. This paper considers such a classical method for object detection as the Viola and Jones method and proposes an enhanced soft cascade calibration method based on Multiple-Instance Pruning to increase detection performance. The proposed method considers a response of the classifier to an image region as a random variable and follows a statistical approach to provide robust detectors. In addition, the paper addresses the problem of non-conformity of detection parameters at training and inference stages and studies performance decline. The performance of the proposed methods is demonstrated in a variety of practical tasks, including identity document detection and document fraud detection.

关键词： machine learning object detection Viola-Jones algorithm soft cascade identity documents recognition energy efficient algorithms

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efficient Compute at the Edge: Optimizing energy Aware Data Structures for Emerging Edge Hardware 16

Efficient Compute at the Edge: Optimizing Energy Aware Data ...

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International Conference on High Performance Computing and Simulation (HPCS)

作者： Khan, Amin M. Umar, Ibrahim Phuong Hoai Ha UiT Arctic Univ Norway Dept Comp Sci Tromso Norway

ISBN: (纸本)9781538678794

The advent of exascale computing, with the unparalleled rise in the scale of data in Internet of Things (IoT), high performance computing (HPC), and big data domains, both at the center and the edge of the system, requires optimal exploitation of energy-efficient computing hardware dedicated for edge processing. Emerging hardware for data processing at the edge must take advantage of advanced concurrent data locality-aware algorithms and data structures in order to provide better throughput and energy efficiency. Their design must be performance portable for their implementation to perform equally well on the edge hardware as well as other high performance computing, embedded and accelerator platforms. Concurrent search trees are one such widely used back-end for many important big data systems, databases, and file systems. We analyze DeltaTree, a concurrent energy-efficient and locality-aware data structure based on relaxed cache-oblivious model and van Emde Boas trees, on Intel's specialized computing platform Movidius Myriad 2, designed for machine vision and computing capabilities at the edge. We compare the throughput and energy efficiency of DeltaTree with B-link tree, a highly concurrent B+tree, on Movidius Myriad 2, along with a high performance computing platform (Intel Xeon), an ARM embedded platform, and an accelerator platform (Intel Xeon Phi). The results show that DeltaTree is performance portable, providing better energy-efficiency and throughput than B-link tree on these platforms for most workloads. For Movidius Myriad 2 in particular, DeltaTree performs really well with its throughput and efficiency up to 4x better than B-link tree.

关键词： edge computing energy efficient algorithms concurrent algorithms data locality binary search trees

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Performance Analysis of energy efficient Routing algorithms for Adhoc Network

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International Conference on Advances in Computing, Communication and Control (ICAC3)

作者： Nitnaware, Dhiraj Verma, Ajay DAVV Inst Engn & Technol Indore Madhya Pradesh India

ISBN: (纸本)9783642184390

In the present paper, the performance of various energy efficient algorithms is being analyzed. In the previous papers, we have developed some energy efficient algorithm for MANET and analysis there performances. In [1] and [2], we have developed energy constraint gossip based protocol (ECG_AODV) and analyzed its energy performance as compared with AODV. energy constraint Node cache based algorithm called ECNC_AODV were developed in [3]. In [4] and [5], we have proposed energy based Gossip algorithm called EBG_AODV for MANET. In all the above work, we have analyzed the behavior of proposed algorithm and compare it with AODV under CBR as well Pareto traffic sources. With the help of simulation results, we have concluded that with above algorithm, there is an energy as well as overhead reduction up to 15%-35% without affecting the delivery ratio as compared to AODV. In this paper, we have simulated the above algorithm with new algorithm which is based on node cache plus gossip. The overall performance of EBG protocol is better as compared to other protocols in terms of energy consumption and routing overhead without affecting the delivery ratio as per simulation result.

关键词： energy efficient algorithms energy consumption routing overhead delivery ratio NS-2 simulator

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Performance Analysis of Four Layer Clustering Network using Enhanced Deterministic energy-efficient Clustering Protocol in Wireless Sensor Network 5

Performance Analysis of Four Layer Clustering Network using ...

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5th International Conference on Advanced Computing & Communication Technologies (ACCT)

作者： Soni, Sunil Kumar Kaur, Gagandeep Punjabi Univ YCoE Elect & Commun Engn Patiala Punjab India

ISBN: (纸本)9781479984886

A wireless network consists of geographically distributed sovereign devices and uses sensors for cooperative monitoring physical conditions. It comprises number of small, and relatively inexpensive and low-power sensors that are connected to the wireless network, constituting a wireless sensor networks (WSNs). They had a wide range of applications e.g. in physiological monitoring, environmental applications, military applications and home security etc. We have developed a purely deterministic model using a Enhanced Deterministic energy-efficient Clustering Protocol (EDEC) by clustering nodes to organize the WSN. The EDEC is dynamic, distributive, self-organized and more energy efficient than the existing protocols. Simulation results showed a better performance with respect to energy consumption, which is reflected in the network lifetime under both homogeneous and heterogeneous settings, when compared with the existing protocols. The approach estimates an optimal solution for the balanced energy consumptions in ordered wireless sensor networks.

关键词： WSN DEC clustering energy cluster head energy efficient algorithms

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Contiguous Link Scheduling for Data Aggregation in Wireless Sensor Networks

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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2014年第7期25卷 1691-1701页

作者： Ma, Junchao Lou, Wei Li, Xiang-Yang Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China IIT Dept Comp Sci Chicago IL 60616 USA

Wireless sensor networks (WSNs) consist of a large number of battery-powered wireless sensor nodes, and one key issue in WSNs is to reduce the energy consumption while maintaining the normal functions of WSNs. Data aggregation, as a typical operation in data gathering applications, can cause a lot of energy wastage since sensor nodes, when not receiving data, may keep in the listen state during the data collection process. To save this energy wastage, sleep scheduling algorithms can be used to turn the nodes to the sleep state when their radios are not in use and wake them up when necessary. In this paper, we identify the contiguous link scheduling problem in WSNs, in which each node is assigned consecutive time slots so that the node can wake up only once in a scheduling period to fulfil its data collection task. The objective of the problem is to find an interference-free link scheduling with the minimum number of time slots used. In virtue of the contiguous link scheduling, the energy consumption caused by nodes' state transitions can be reduced. We prove the contiguous link scheduling problem in WSNs to be NP-complete, and then present efficient centralized and distributed algorithms with theoretical performance bounds in both homogeneous and heterogeneous networks. We also conduct simulation experiments that corroborate the theoretical results and demonstrate the efficiency of our proposed algorithms.

关键词： energy efficient algorithms sleep scheduling contiguous link scheduling data aggregation wireless sensor networks

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Perfect Strong Scaling Using No Additional energy

Perfect Strong Scaling Using No Additional Energy

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IEEE 27th International Parallel and Distributed Processing Symposium (IPDPS)

作者： Demmel, James Gearhart, Andrew Lipshitz, Benjamin Schwartz, Oded Univ Calif Berkeley Berkeley CA 94720 USA

ISBN: (纸本)9780769549712

energy efficiency of computing devices has become a dominant area of research interest in recent years. Most previous work has focused on architectural techniques to improve power and energy efficiency;only a few consider saving energy at the algorithmic level. We prove that a region of perfect strong scaling in energy exists for matrix multiplication (classical and Strassen) and the direct n-body problem via the use of algorithms that use all available memory to replicate data. This means that we can increase the number of processors by some factor and decrease the runtime (both computation and communication) by the same factor, without changing the total energy use.

关键词： energy lower bounds Communication-avoiding algorithms energy efficient algorithms Power efficiency

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An energy efficient Middleware Architecture for Processing Spatial Alarms on Mobile Clients

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MOBILE NETWORKS & APPLICATIONS 2010年第4期15卷 543-561页

作者： Murugappan, Anand Liu, Ling Georgia Inst Technol Coll Comp Atlanta GA 30332 USA

Time based alarms are used by many on a daily basis. Spatial alarms extend the very same idea to location based triggers, which are fired whenever a mobile user enters the spatial region of the location alarms. Spatial alarms provide critical capabilities for many mobile location based applications ranging from personal assistants, inventory tracking to industrial safety warning systems. In this paper we present a middleware architecture for energy efficient processing of spatial alarms on mobile clients, while maintaining low computation and storage costs. Our approach to spatial alarms provides two systematic methods for minimizing energy consumption on mobile clients. First, we introduce the concept of safe distance to reduce the number of unnecessary mobile client wakeups for spatial alarm evaluation, enabling mobile clients to sleep for longer intervals of time in the presence of active spatial alarms. We show that our safe distance techniques can significantly minimize the energy consumption on mobile clients compared to periodic wakeups while preserving the accuracy and timeliness of spatial alarms. Second, we develop a suite of techniques for minimizing the number of location triggers to be checked for spatial alarm evaluation upon each wakeup. This further reduces the computation cost and energy expenditure on mobile clients. We evaluate the scalability and energy-efficiency of our approach using a road network simulator. Our spatial alarms middleware architecture offers significant improvements on battery lifetime of mobile clients, while maintaining high quality of spatial alarm services, especially compared to the conventional approach of periodic wakeup and checking all alarms upon wakeup.

关键词： spatial alarms location based alarms location based services mobile applications energy efficient algorithms

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energy efficient TDMA Sleep Scheduling in Wireless Sensor Networks

Energy Efficient TDMA Sleep Scheduling in Wireless Sensor Ne...

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IEEE INFOCOM Conference 2009

作者： Ma, Junchao Lou, Wei Wu, Yanwei Li, Xiang-Yang Chen, Guihai Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China IIT Dept Comp Sci Chicago IL 60616 USA Nanjing Univ State Key Lab Software Technol Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781424435128

Sleep scheduling is a widely used mechanism in wireless sensor networks (WSNs) to reduce the energy consumption since it can save the energy wastage caused by the idle listening state. In a traditional sleep scheduling, however, sensors have to start up numerous times in a period, and thus consume extra energy due to the state transitions. The objective of this paper is to design an energy efficient sleep scheduling for low data-rate WSNs, where sensors not only consume different amounts of energy in different states (transmit, receive, idle and sleep), but also consume energy for state transitions. We use TDMA as the MAC layer protocol, because it has the advantages of avoiding collisions, idle listening and overhearing. We first propose a novel interference-free TDMA sleep scheduling problem called contiguous link scheduling, which assigns sensors with consecutive time slots to reduce the frequency of state transitions. To tackle this problem, we then present efficient centralized and distributed algorithms that use time slots at most a constant factor of the optimum. The simulation studies corroborate the theoretical results, and show the efficiency of our proposed algorithms.

关键词： energy efficient algorithms sleep scheduling wireless sensor networks

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