In this paper, we explore delivering mobile edge Virtual Reality (VR) gaming services with comprehensive and satisfactory Quality of Experience (QoE) across a distributed edge network. Our goal is to meet the QoE need...
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ISBN:
(纸本)9798350366495;9798350366488
In this paper, we explore delivering mobile edge Virtual Reality (VR) gaming services with comprehensive and satisfactory Quality of Experience (QoE) across a distributed edge network. Our goal is to meet the QoE needs of all users, addressing both latency and visual considerations. However, the unique characteristics of edge-assisted mobile VR gaming distinguish our challenge from other distributed service provisioning issues. We introduce and address the challenge of provisioning QoE-centric mobile VR gaming services within a distributed edge environment by systematically capturing the unique attributes of mobile VR games. We demonstrate that this challenge can be formulated as a Mixed-Integer Quadratically Constrained Quadratic Programming (MIQCQP) problem. While mobile edge computing holds promise for mobile VR gaming, existing studies often overlook the need to deliver satisfactory QoE to a large user base. Our paper focuses on delivering QoE-centric edge-assisted mobile VR gaming services to multiple users, comprehensively addressing visual and latency concerns.
This paper explores various cloud computingdistributed technologies and constructs a SaaS cloud computing architecture for a human resource management system. Each module's functions within the system are detaile...
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In this work, we present an advancement in integrated MEMs reservoir computing (RC) systems, using surface acoustic wave devices. In the past, we have demonstrated that non-linear processing is feasible using piezoele...
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ISBN:
(纸本)9798350357929
In this work, we present an advancement in integrated MEMs reservoir computing (RC) systems, using surface acoustic wave devices. In the past, we have demonstrated that non-linear processing is feasible using piezoelectric SAW resonators, by using a time multiplexed resonator system. In this work, we demonstrate that feature masking, and time-delayed response coupling can be achieved using SAW devices. These elements form three of four essential building blocks for an integrated mechanical reservoir computer.
In a correct control system, events are never late, nor are they early. They are delivered precisely when the engineer means to. IEC 61499 defines a modeling language for control software of distributedsystems. Howev...
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Edge computing has become a promising technology to mitigate the latency of various cloud services. Task scheduling in edge computing is challenging due to the heterogeneous devices and multiple tasks. This paper prop...
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ISBN:
(纸本)9798350381993;9798350382006
Edge computing has become a promising technology to mitigate the latency of various cloud services. Task scheduling in edge computing is challenging due to the heterogeneous devices and multiple tasks. This paper proposes an affinity-based scheduling algorithm to solve the multi-task scheduling problem with heterogeneous computing resources under edge computing. The algorithm uses a centralized scheduling strategy that takes into account the overall matching between intelligent computing tasks and heterogeneous resources from two aspects: resource affinity and system load balancing. It can adjust the weights among these aspects to meet different application requirements. The results show that the proposed algorithm can reduce the average response time by at least 10% and has a significant advantage regarding the system running time compared to the other comparative methods.
Serverless computing can favor the emergence of complex and error-prone applications. In order to gain observability in such applications, distributed tracing can be used. However, as serverless computing relies on th...
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ISBN:
(纸本)9798350322392
Serverless computing can favor the emergence of complex and error-prone applications. In order to gain observability in such applications, distributed tracing can be used. However, as serverless computing relies on the pay-per-use billing model, utilizing distributed tracing tools can have a noticeable impact on the resulting costs. Therefore, this paper investigates the impact of distributed tracing in serverless applications by exploring and comparing the efficiency characteristics of three selected distributed tracing tools - Zipkin, OpenTelemetry, and SkyWalking. In particular, the runtime, the memory usage, and the initialization duration were examined by benchmarking AWS Lambda function invocations. In the experiments, Zipkin imposed the lowest runtime overhead with an average of 10.73 %, while SkyWalking introduced the highest overhead with an average runtime overhead of 50.67 %. OpenTelemetry added 24.19% additional runtime. Besides runtime overheads, significantly higher memory usage and initialization durations were detected for all tools. Therefore, the results suggest that distributed tracing can significantly impact the efficiency of serverless applications. Nevertheless, differences could be observed concerning tracing mechanisms and use cases. This helps developers to carefully select the most suitable tracing tool considering factors such as runtime overhead, memory usage, and initialization durations.
In this paper, a VILLAS framework for distributed software-in-the-loop (DSIL) voltage optimization with renewables and ultrafast charging stations (CSs) is proposed. The VILLAS framework is a powerful system for local...
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ISBN:
(纸本)9798350386509;9798350386493
In this paper, a VILLAS framework for distributed software-in-the-loop (DSIL) voltage optimization with renewables and ultrafast charging stations (CSs) is proposed. The VILLAS framework is a powerful system for local and geographical DSIL, real-time hardware in the loop (HIL) and power HIL (PHIL) emulations for electric energy systems. This paper presents a novel and scalable distributed co-simulation framework for DSIL testing that operates at the network-centric abstraction level. The ieee 123-node MV test feeder, equipped with DERs such as photovoltaic (PV) systems and ultrafast electric vehicle (EV) CSs is considered. The entire DSIL runs on four machines geographically distributed at two different sites. One machine emulates the distribution network and solves the power flow equations to solve the voltage-optimization problem, the second emulates the EV ultrafast CSs optimizing its power consumption, and the other two execute the VILLAS nodes connecting the two sites. This work differs from previous studies, based on VILLAS, for the introduction of local optimization methods and the exchange of dynamic power limits for control within a given task update interval. A case study aimed to check the performances of the optimization services for different task update intervals demonstrates the feasibility of developing and validating complex system-level services for future energy communities by DSIL.
Recently, there is a growing trend where end-users personally engage in computationally-intensive applications, particularly in domains such as AI, AR/VR, and simulation. Consequently, there arises an increasing deman...
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ISBN:
(纸本)9798350304367;9798350304374
Recently, there is a growing trend where end-users personally engage in computationally-intensive applications, particularly in domains such as AI, AR/VR, and simulation. Consequently, there arises an increasing demand to enhance the capabilities of local devices by offloading computational work to remote resources, which can also be provided by endusers. To address the requirements of modern peer-to-peer (P2P) offloading architectures, we have developed Wasimoff-an innovative browser-based framework designed for dynamic volunteer computing. Leveraging WebAssembly, applications can securely run in an isolated browser environment. Device owners can effortlessly share their available CPU cycles and participate in the collaborative network by accessing a designated URL in their browser. To assess Wasimoff's performance, we conducted a real-world evaluation with devices located in both Germany and the USA. The results affirm Wasimoff's ability to scale linearly as the system's entities increase. Moreover, Wasimoff consistently maintains execution speed even under congested system conditions.
In recent years, distributed data-processing frameworks have become popular for processing big data. However, in an HPC, where the computation and storage nodes are separated, the bandwidth between the computation and...
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ISBN:
(纸本)9798350370621
In recent years, distributed data-processing frameworks have become popular for processing big data. However, in an HPC, where the computation and storage nodes are separated, the bandwidth between the computation and storage components is small, causing a reduction in data processing throughput. Therefore, in this paper, data were stored on the computation node to solve the data processing throughput degradation. We propose an I/O acceleration method that integrates Apache Arrow and CHFS. It leverages non-volatile memory, a state-of-the-art storage device, via CHFS and leverages CHFS from a distributed data processing framework via Apache Arrow's abstract file system API. The evaluation results showed that the system achieved up to 11.60 times higher bandwidth than when reading data from the parallel file system Lustre. This study also compared with Apache Arrow with BeeOND and UnifyFS, other ad hoc filesystems. The proposed Apache Arrow CHFS showed up to 1.67x/1.23x better write performance. The implementation is published at https://***/tsukuba-hpcs/arrow-chfs
This paper deals with performance evaluation of a recently proposed control-oriented multiple-input-multipleoutput over-the-air computation (MIMO-AirComp) technique. MIMO-AirComp is a communication and computation des...
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ISBN:
(纸本)9798350358513;9798350358520
This paper deals with performance evaluation of a recently proposed control-oriented multiple-input-multipleoutput over-the-air computation (MIMO-AirComp) technique. MIMO-AirComp is a communication and computation design approach that, applied to distributed sensing and processing control systems, aims at deriving the control signal with state estimation in the loop. After a comprehensive overview of the theoretical methodology, we evaluate its advantages and limitations on two benchmarks, with particular reference to the sensitivity to the measurement noise and the channel noise, and discuss the experimental findings.
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