2017 Eighth International Green and Sustainable Computing Conference (IGSC)最新文献_第2页

Energy efficiency in colocation data centers: A joint incentive mechanism approach 托管数据中心的能源效率:联合激励机制方法

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323564

Youshi Wang, Fa Zhang, Shaolei Ren, Fangming Liu, Rui Wang, Zhiyong Liu

{"title":"Energy efficiency in colocation data centers: A joint incentive mechanism approach","authors":"Youshi Wang, Fa Zhang, Shaolei Ren, Fangming Liu, Rui Wang, Zhiyong Liu","doi":"10.1109/IGCC.2017.8323564","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323564","url":null,"abstract":"Colocation data centers (or colocations, for short) are important participants in emergency demand response (EDR) programs. One key challenge in colocations is that tenants control their own servers, thus, may not coordinate to reduce their power consumption. In this paper, we propose a joint truthful incentive mechanism Co-Colo to encourage tenants joining EDR programs, which includes a local optimization mechanism (LocalOpt) and a global optimization mechanism (GlobalOpt). In LocalOpt, tenants are motivated to improve the energy efficiency locally. In GlobalOpt, tenants can request some public server resources to improve the energy efficiency. By jointly considering the two mechanisms, Co-Colo effectively reduces the energy-saving cost. A (1 + ε)-approximation algorithm is proposed to obtain the asymptotic optimal energy-saving scheme. We also consider a special case when the public resources are sufficient, and design a 2-approximation algorithm. Furthermore, the robustness of the proposed algorithms are proved. Trace-driven simulations verify the effectiveness and feasibility of Co-Colo.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121685356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Model-based optimization of the energy efficiency of multi-threaded applications 基于模型的多线程应用程序能效优化

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323578

T. Rauber, G. Rünger, Matthias Stachowski

引用次数: 7

Performance evaluation of diverse techniques for performance, energy, and temperature efficient task allocation 性能评估的各种技术的性能，能源和温度有效的任务分配

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323586

Hafiz Fahad Sheikh, I. Ahmad, S. Arshad, Alexander J. Aved

{"title":"Performance evaluation of diverse techniques for performance, energy, and temperature efficient task allocation","authors":"Hafiz Fahad Sheikh, I. Ahmad, S. Arshad, Alexander J. Aved","doi":"10.1109/IGCC.2017.8323586","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323586","url":null,"abstract":"The task-to-core scheduling problem using Dynamic Voltage and Frequency Scaling (DVFS) for achieving three objectives of performance, energy, and temperature (PET), poses algorithmic challenges as it involves conflicting goals and trade-offs. Some myriad static algorithms have been proposed for solving this problem which can be roughly categorized into three groups: approaches for generating optimal solutions (for smaller sizes problems), complex optimization techniques, and fast heuristics. These algorithms generate multi-dimensional results which can be hardly intelligible. The assessment of these results requires new comparison methods and concise evaluation measures. This paper proposes a set of benchmarks and evaluation procedures for carrying out methodical comparisons of various algorithms for solving the PET-aware task-to-core scheduling problem. The proposed performance measures assist in judiciously comparing these different algorithms and analyzing their results on a unified basis. The goal is also to seek answers as to how good the Pareto-optimal algorithms are compared to fast heuristics tackling the same problem with the same assumptions. At the same time, we are interested in knowing how good both the groups of algorithms are compared to the absolute optimal (at least for small sets of problems). In addition, the paper provides methods for evaluating trade-offs and determining which application and target parameters affect the results (performance, energy consumed and temperature achieved) of these algorithms. Extensive experimentations facilitate a comprehensive comparison of different kinds of algorithms amongst themselves as well as with optimal solutions obtained through Integer Linear Programming as a reference.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129578203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A detailed analysis of OpenMP runtime configurations for power constrained systems 对功率受限系统的OpenMP运行时配置的详细分析

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323575

Md Abdullah Shahneous Bari, A. Malik, A. Qawasmeh, B. Chapman

引用次数: 1

Implementing data center network energy management capabilities in NS3 在NS3中实现数据中心网络能源管理功能

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323566

Sanjeev Sondur, Madhurima Ray, J. Biswas, K. Kant

{"title":"Implementing data center network energy management capabilities in NS3","authors":"Sanjeev Sondur, Madhurima Ray, J. Biswas, K. Kant","doi":"10.1109/IGCC.2017.8323566","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323566","url":null,"abstract":"In this paper, we present an enhanced and holistic energy model for the widely used Network Simulator, NS3. As computing becomes more energy efficient, data movement, and hence data center networks consume an increasing percentage of the total energy consumption and it is important to provide energy management capabilities in the network simulators. Our enhanced NS3 simulator supports the use of different sleep modes for each network port on a switch/router and endpoint, and backplane on switch/router in order to reduce the network energy consumption. It also supports two port level power management mechanisms — unidirectional (transmitter only) and bidirectional (transmitter and receiver). Moreover, the simulator supports local consolidation that consolidates traffic across multiple outgoing/incoming links into a node, and a global controller that monitors all links in the network via a SDN-like mechanism and helps make better local consolidation decisions. The implemented capabilities are illustrated by applying them to the popular fat-tree based data center network. It is shown that the local consolidation mechanism coupled with bidirection port-level energy management can reduce the network energy consumption substantially.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129401263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Research on power saving and energy efficiency for data-centric computing on production HPC systems 生产型高性能计算系统以数据为中心的节能与能效研究

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323593

Song Huang

{"title":"Research on power saving and energy efficiency for data-centric computing on production HPC systems","authors":"Song Huang","doi":"10.1109/IGCC.2017.8323593","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323593","url":null,"abstract":"Energy consumption has become one of the four key challenges when Department of Energy (DOE) plans to deploy its first exascale supercomputer by 2021. With advanced power management technologies, building a power-saving and energy-efficient exascale computer with faster computing capability becomes possible. To achieve this goal, it is crucial to characterize the power and energy consumption on modern computer hardware and runtime systems. In my dissertation research, I configure the execution environment in various settings and profile and characterize the power and energy consumption on Intel Haswell Enterprise processor, which is currently used in the new Trinity supercomputer hosted at Los Alamos National Laboratory. I also study the power and energy characteristics of a data-centric HPC runtime system, i.e., the Legion runtime and applications, jointed developed by Stanford University and Los Alamos National Laboratory. The experimental results show that the settings of P-States and hyperthreading have a significant impact on the power and energy consumption. Additionally, the data-centric Legion runtime and applications achieve better energy efficiency compared with the MPI computing paradigm.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115398851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SAFER: An IoT-based perpetual safe community awareness and alerting network SAFER:基于物联网的永久安全社区意识和警报网络

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323585

N. Alhassoun, Md Yusuf Sarwar Uddin, N. Venkatasubramanian

{"title":"SAFER: An IoT-based perpetual safe community awareness and alerting network","authors":"N. Alhassoun, Md Yusuf Sarwar Uddin, N. Venkatasubramanian","doi":"10.1109/IGCC.2017.8323585","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323585","url":null,"abstract":"Perpetual awareness systems are sensing systems characterized by continuous monitoring and ubiquitous sensing; they are essential to many safety and mission-critical applications, e.g. assisted living, healthcare and public safety. In this paper, we present SAFER, a perpetual heterogeneous IoT system; deployed in homes to detect critical events (injury, hazardous-environment) that must trigger immediate action and response. A key challenge here is the energy consumption associated with perpetual operations. We propose a novel energy-aware perpetual home IoT system where battery-operated and wall-powered IoT devices co-execute to ensure safety of occupants. We use a semantic approach that extracts activities-of-daily-living from device data to drive energy-optimized sensor activations. To validate our approach, we developed an elderly fall detection system using multi-personal and in-situ sensing devices. Using initial measurements to drive larger simulations, we show that our Cost-Function-Gradient algorithm can achieve greater than 4X reductions in energy dissipation without loss of sensing accuracy.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129186510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

REEWA: Runtime energy estimation for web activities on smartphones REEWA:智能手机上网络活动的运行时能量估计

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323577

Ziehen Xu, Xiaorui Wang

{"title":"REEWA: Runtime energy estimation for web activities on smartphones","authors":"Ziehen Xu, Xiaorui Wang","doi":"10.1109/IGCC.2017.8323577","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323577","url":null,"abstract":"Smartphone users spend more than 80% of their phone time accessing web information, which could cause undesirably large energy drain. To provide web information, a web activity may invoke asynchronous execution in different hardware devices. Thus, traditional energy estimation methods based on system statistics are usually insufficient to capture the secluded energy cost. In this paper, we propose REEWA, a runtime energy estimation framework for web activities on smartphones. In sharp contrast to the traditional modeling methods, REEWA features a design to provide highly accurate and low-overhead energy estimation based on hardware performance counters that can accurately record hardware-level events. Specifically, REEWA features (1) a set of energy models for smartphone hardware components involved in web activities, which are built based on their respective performance counters; (2) a correlation study on the counter selection process that provides the best tradeoff between the estimation accuracy and overhead; (3) a performance counter management mechanism for activity deployment. We prototyped and evaluated REEWA in two real android smart-phones. The results show that, compared to traditional estimation methods, REEWA achieves an average 33% higher estimation accuracy with a negligible overhead (less than 1%, worst-case). We applied REEWA to support heterogeneous core scheduling for web activities, which can help reduce 40% energy consumption.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125973589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Scheduling multithreaded applications onto heterogeneous composite cores architecture 将多线程应用程序调度到异构复合核心架构上

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323570

H. Sayadi, H. Homayoun

{"title":"Scheduling multithreaded applications onto heterogeneous composite cores architecture","authors":"H. Sayadi, H. Homayoun","doi":"10.1109/IGCC.2017.8323570","DOIUrl":"https://doi.org/10.1109/IGCC.2017.8323570","url":null,"abstract":"Composite Cores Architecture (CCA), a class of dynamic heterogeneous architectures, enables the system to construct the right core at run-time for each application by composing cores together to build larger core or decomposing a large core into multiple smaller cores. While this architecture provides more flexibility for the running application to find the best run-time settings to maximize energy-efficiency, due to interdependence of various tuning parameters such as the type of the core, run-time voltage and frequency and the number of threads, it makes it more challenging for scheduling. Past research mainly addressed the scheduling problem in composite cores architecture by looking at one or two of these tuning parameters. However, as we will show in this paper, it is important to concurrently optimize and fine-tune these parameters to harness the power of heterogeneity in this emerging class of architecture. In addition, most previous work on CCA mainly studied traditional single threaded CPU applications. In this work, we investigate the scheduling challenges for multithreaded applications in CCA. First, through methodical investigation of power and performance results, we characterize various multithreaded applications on a CCA which can be composed into few big or many little cores and demonstrate how the interplay among various application, system, and architecture level parameters affect the performance and energy-efficiency. Furthermore, based on characterization results, a highly accurate regression-based model for energy-efficiency prediction is developed to guide the scheduling decision. Using the predictive model, we developed a scheduling scheme for effective mapping of multithreaded applications onto CCA. The results show that the proposed scheduling scheme on average achieves close to 94% efficiency as compared to the Oracle scheduling.","PeriodicalId":133239,"journal":{"name":"2017 Eighth International Green and Sustainable Computing Conference (IGSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131973119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

PaSE: A parallel speedup estimation framework for Network-on-Chip based multicore systems PaSE:基于片上网络的多核系统的并行加速估计框架

2017 Eighth International Green and Sustainable Computing Conference (IGSC) Pub Date : 2017-10-01 DOI: 10.1109/IGCC.2017.8323601

Ghassan Dharb, N. Mansoor, S. Shahriat, A. Ganguly

引用次数: 0