4.4 Article

Fine-Grained Online Energy Management of Edge Data Centers Using Per-Core Power Gating and Dynamic Voltage and Frequency Scaling

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Mechanisms for Precise Virtual Time Advancement in Network Emulation

Vignesh Babu et al.

Summary: This article introduces an open-source tool called Kronos that enables precise tracking of process execution and control of emulation order. It improves the mapping of behavior to time advancement and independence from CPU resources of the hosting platform. The article also discusses different instruction counting techniques and their associated overheads, while demonstrating the advantages of Kronos through experiments.

ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION (2022)

Article Computer Science, Hardware & Architecture

Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs

Hongjing Huang et al.

Summary: This article discusses the characterization of High Bandwidth Memory (HBM) on an FPGA and the development of a benchmarking tool called Shuhai to evaluate its performance and usage. The study found that HBM can provide high memory bandwidth, but its usage significantly affects the achievable throughput. By comparing it with other types of memory, a better understanding of HBM's performance characteristics can be obtained.

IEEE TRANSACTIONS ON COMPUTERS (2022)

Article Engineering, Electrical & Electronic

Lyapunov Optimization Based Mobile Edge Computing for Internet of Vehicles Systems

Yi Jia et al.

Summary: This paper investigates the use of Mobile-Edge Computing (MEC) in the Internet of Vehicles (IoV) to meet the computation demands of smart applications. The study focuses on a multi-vehicle system with limited computation resources, where vehicles can offload their subtasks to MEC servers. A Proximal Policy Optimization algorithm and a Graph Convolutional Neural Network are proposed to optimize the computation offloading and improve performance.

IEEE TRANSACTIONS ON COMMUNICATIONS (2022)

Article Engineering, Multidisciplinary

Deadline-Aware Task Offloading With Partially-Observable Deep Reinforcement Learning for Multi-Access Edge Computing

Hui Huang et al.

Summary: This paper introduces a new method, PDMO, utilizing deep reinforcement learning to address the computational burden of mobile applications. The method can guarantee the deadlines of real-time tasks in partially observable environments and outperforms existing schemes in terms of energy consumption, deadline miss number, and completion rate of non-real-time tasks, as demonstrated in experiments.

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2022)

Article Computer Science, Hardware & Architecture

MASTER: Reclamation of Hybrid Scratchpad Memory to Maximize Energy Saving in Multi-Core Edge Systems

Mohsen Shekarisaz et al.

Summary: This paper addresses the issue of energy consumption in the memory subsystem of edge devices by proposing a task mapping, scheduling, and dynamic allocation scheme based on hybrid Scratchpad Memories (SPM). By formulating the hybrid SPM allocation using integer linear programming, the energy consumption of the memory subsystem is minimized. Experimental results demonstrate that the proposed scheme outperforms the existing heuristic dynamic data allocation algorithm, achieving up to 34% energy savings in the memory subsystem.

IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING (2022)

Article Computer Science, Hardware & Architecture

Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments

Piergiorgio Vitello et al.

Summary: This paper tackles the issue of EDC deployment in urban environments and proposes a mobility-aware approach to estimate the optimal placement of MEC EDCs, achieving superior performance and energy-efficiency.

IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING (2022)

Proceedings Paper Computer Science, Hardware & Architecture

ReTail: Opting for Learning Simplicity to Enable QoS-Aware Power Management in the Cloud

Shuang Chen et al.

Summary: This paper proposes an automated solution called ReTail for request-level power management of latency-critical services with QoS constraints. It presents a systematic process to select features that are most correlated with request latency and uses them to predict latency and adjust CPU power consumption. Unlike previous findings, the paper shows that simple techniques perform better than complex machine learning models when using the right input features.

2022 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2022) (2022)

Article Computer Science, Information Systems

ReMap: Reliability Management of Peak-Power-Aware Real-Time Embedded Systems Through Task Replication

Amir Yeganeh-Khaksar et al.

Summary: This article proposes a method for mapping and scheduling periodic soft real-time tasks in multicore embedded systems to achieve a given reliability target while keeping the total power consumption under the chip TDP. Experimental results show that the proposed method can significantly reduce peak power consumption.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING (2022)

Article Computer Science, Hardware & Architecture

Designing a multi-layer edge-computing platform for energy-efficient and delay-aware offloading in vehicular networks

Fabio Busacca et al.

Summary: This article discusses the challenges of computation resources and latency in vehicular networks when supporting real-time services, and proposes a solution based on the MEC paradigm and a multi-layer job-offloading scheme. Through mathematical modeling and reinforcement learning algorithms, the effectiveness of the proposed algorithm is demonstrated compared to static policies not utilizing reinforcement learning.

COMPUTER NETWORKS (2021)

Article Computer Science, Hardware & Architecture

A Voting Approach for Adaptive Network-on-Chip Power-Gating

Jiayi Huang et al.

Summary: Scalable Networks-on-Chip (NoCs) are standard in large-scale multicore architectures, but consume a significant amount of on-chip power budget. This article introduces Flov as a voting approach for dynamic router power-gating, reducing NoC power consumption by 31 and 20 percent on average across synthetic and real workloads while maintaining performance.

IEEE TRANSACTIONS ON COMPUTERS (2021)

Article Computer Science, Information Systems

Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization

Jing Bi et al.

Summary: This work proposes a partial computation offloading method to minimize total energy consumption by jointly optimizing task offloading ratio, CPU speeds, bandwidth allocation, and transmission power. The hybrid metaheuristic algorithm GSP achieves joint optimization of computation offloading between cloud data centers and the edge, showing lower energy consumption and faster convergence compared to typical peers in real-life based experiments.

IEEE INTERNET OF THINGS JOURNAL (2021)

Proceedings Paper Computer Science, Hardware & Architecture

Flex: High-Availability Datacenters With Zero Reserved Power

Chaojie Zhang et al.

Summary: This paper introduces zero-reserved-power datacenters and the Flex system to address issues of reduced power utilization and increased construction costs. Flex utilizes an offline workload placement policy and a distributed monitoring system to ensure workload performance and availability, resulting in less than 5% stranded power and up to 33% more deployed servers per datacenter site, leading to significant cost savings.

2021 ACM/IEEE 48TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA 2021) (2021)

Proceedings Paper Computer Science, Hardware & Architecture

Heat Behind the Meter: A Hidden Threat of Thermal Attacks in Edge Colocation Data Centers

Zhihui Shao et al.

Summary: The development of edge colocation data centers, fueled by the adoption of Internet of Things and latency-critical applications, has exposed potential vulnerabilities to thermal attacks. These attacks can be launched by injecting cooling load, leading to thermal emergencies and system outages. The paper introduces a foresighted attack strategy based on reinforcement learning to mitigate the threat of thermal attacks, and validates the effectiveness of the attacks through prototype experiments and simulations, highlighting the significant potential losses that can be caused by attackers in small edge colocation data centers. Effective countermeasures are also suggested to mitigate the risk of thermal attacks.

2021 27TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2021) (2021)

Article Engineering, Electrical & Electronic

Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

Mushu Li et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Engineering, Electrical & Electronic

Energy-efficient Workload Allocation and Computation Resource Configuration in Distributed Cloud/Edge Computing Systems With Stochastic Workloads

Wenyu Zhang et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)

Article Engineering, Multidisciplinary

Real-Time Optimization of Dynamic Speed Scaling for Distributed Data Centers

Shoulu Hou et al.

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020)

Article Computer Science, Hardware & Architecture

A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems

Shervin Hajiamini et al.

IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING (2020)

Article Telecommunications

Decentralized Real-Time Optimization of Voltage Reconfigurable Cloud Computing Data Center

Shoulu Hou et al.

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING (2020)

Article Engineering, Multidisciplinary

Towards Workload Balancing in Fog Computing Empowered IoT

Qiang Fan et al.

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020)

Article Telecommunications

Frequency-Reconfigurable Cloud Versus Fog Computing: An Energy-Efficiency Aspect

Shoulu Hou et al.

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING (2020)

Article Computer Science, Information Systems

Computational Load Balancing on the Edge in Absence of Cloud and Fog

Saurav Sthapit et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)

Article Computer Science, Theory & Methods

Energy efficient task allocation and energy scheduling in green energy powered edge computing

Lin Gu et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Article Engineering, Electrical & Electronic

Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing

Chen-Feng Liu et al.

IEEE TRANSACTIONS ON COMMUNICATIONS (2019)

Article Engineering, Electrical & Electronic

Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing

Deepak Puthal et al.

IEEE COMMUNICATIONS MAGAZINE (2018)

Article Computer Science, Hardware & Architecture

TEI-NoC: Optimizing Ultralow Power NoCs Exploiting the Temperature Effect Inversion

Kyuseung Han et al.

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2018)

Article Computer Science, Hardware & Architecture

Energy- and Area-Efficient Spin-Orbit Torque Nonvolatile Flip-Flop for Power Gating Architecture

Karim Ali et al.

IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2018)

Article Engineering, Electrical & Electronic

Multi-Timescale Decentralized Online Orchestration of Software-Defined Networks

Xinchen Lyu et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2018)

Article Computer Science, Theory & Methods

A performance comparison of container-based technologies for the Cloud

Zhanibek Kozhirbayev et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2017)

Article Computer Science, Theory & Methods

Cost-Aware Big Data Processing Across Geo-Distributed Datacenters

Wenhua Xiao et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2017)

Proceedings Paper Computer Science, Theory & Methods

Exploiting Heterogeneity for Tail Latency and Energy Efficiency

Md E. Haque et al.

50TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE (MICRO) (2017)

Proceedings Paper Engineering, Electrical & Electronic

Ambient Energy Harvesting Nonvolatile Processors: From Circuit to System

Yongpan Liu et al.

2015 52ND ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC) (2015)

Article Computer Science, Theory & Methods

Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads

Yuan Yao et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2014)

Article Computer Science, Hardware & Architecture

The Tail at Scale

Jeffrey Dean et al.

COMMUNICATIONS OF THE ACM (2013)

Article Computer Science, Hardware & Architecture

POWER-MANAGEMENT ARCHITECTURE OF THE INTEL MICROARCHITECTURE CODE-NAMED SANDY BRIDGE

Efraim Rotem et al.

IEEE MICRO (2012)

Article Engineering, Electrical & Electronic

Green Optical Communications-Part II: Energy Limitations in Networks

Rodney S. Tucker

IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS (2011)

Article Computer Science, Hardware & Architecture

Power Management of Datacenter Workloads Using Per-Core Power Gating

Jacob Leverich et al.

IEEE COMPUTER ARCHITECTURE LETTERS (2009)

Article Computer Science, Hardware & Architecture

Dual-resource TCP/AQM for processing-constrained networks

Minsu Shin et al.

IEEE-ACM TRANSACTIONS ON NETWORKING (2008)

Article Computer Science, Hardware & Architecture

Interconnect lifetime prediction for reliability-aware systems

Zhijian Lu et al.

IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2007)

Article Engineering, Electrical & Electronic

A tutorial on decomposition methods for network utility maximization

Daniel P. Palomar et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2006)