The computational power provided by many-core graphics processing units (GPUs) has been exploited in many applications. programming techniques currently employed on these GPUs are not sufficient to address problems exhibiting irregular, and unbalanced workload. problem is exacerbated when trying effectively exploit multiple concurrently, which commonly available modern systems. In this paper, we propose a task-based dynamic load-balancing solution for single-and multi-GPU allows load...

Most of existing Multi-access edge computing (MEC) studies consider the remote cloud server as a special server, opportunity edge-cloud collaboration has not been well exploited. We propose dependency-aware offloading scheme in MEC with cooperation under task dependency constraints. Each mobile device limited budget and to determine which sub-task should be computed locally or sent cloud. To address this issue, we divide problem into two application finishing time minimization sub-problems...

Mobile cloud computing addresses resource scarcity problem of mobile devices by offloading computation data from into the cloud. However, remote server may be far users. Cloudlet could used to deal with long access delay problem. In large-scale Wireless Metropolitan Area Network (WMAN) consisting many wireless Access Points (APs), choosing appropriate position cloudlet is very important reducing delay. Recently, a heuristic algorithm has been proposed. it so repeated sorting process APs that...

In heterogeneous cellular network, task scheduling for computation offloading is one of the biggest challenges. Most works focus on alleviating heavy burden macro base stations by moving tasks macro-cell user equipment (MUE) to remote cloud or small-cell stations. But selfishness network users seldom considered. Motivated edge computing, this paper provides incentive transfer from cell small The proposed scheme utilizes provide relay service. problem modelled as a two-stage auction, in which...

Load balance in vehicular ad hoc networks (VANETs) is a challenge vehicle-to-vehicle computation offloading, due to stochastic requests of users, heterogeneous service capabilities and high mobility vehicles, etc. This paper aims fill this gap by formulating problem for load VANET, with the objective minimizing maximum under transmit power, storage capacity, per task completion time energy consumption constraints. The formulated proved be NP-hard, then it investigated decomposing into two...

In the large-scale Wireless Metropolitan Area Network (WMAN) consisting of many wireless Access Points (APs),choosing appropriate position to place cloudlet is very important for reducing user's access delay. For service provider, it isalways costly deployment cloudlets. How cloudletsshould be placed in a WMAN and how much resource eachcloudlet should have provider. this paper, we study placement resourceallocation problem WMAN, formulatethe as an novel that givenan average delay between...

Vehicular fog computing (VFC) has become an appealing paradigm to provide services for vehicles and traffic systems. However, high mobility is one of the great challenges communication computation service qualities in VFC. A network model directional vehicle proposed this paper guarantee In model, are configured into three vehicular subnetworks according their turning directions at next crossing. For each subnetwork, communicate with other via vehicle-to-vehicle communication, roadside units...

Mobile edge computing (MEC) is a promising technology to provide high bandwidth and low latency shared services resources mobile users. However, the MEC infrastructure raises major security concerns when involve sensitive private data of This paper proposes novel blockchain-based key management scheme for that essential ensuring secure group communication among devices as they dynamically move from one subnetwork another. In proposed scheme, device joins subnetwork, it first generates...

Efficient task offloading decision is a crucial technology in vehicular edge computing, which aims to fulfill the computational performance demands of complex tasks with respect delay and energy consumption while minimizing network resource competition consumption. Conventional distributed decisions rely solely on local state vehicle, failing optimize utilization server's resources its fullest potential. In addition, mobility aspect vehicles often neglected these decisions. this paper,...

Cooperative device-to-device (CD2D) communication has been considered to be a solution capacity shortage problem. Combining multihoming and CD2D techniques together can potentially improve network performance. We propose novel network, in which multiple homing mobile devices (MMDs) act as relays for the cooperative communications of ordinary (OMDs). formulate such joint bandwidth-relay allocation problem two-stage game, order deal with two challenges: how motivate MMDs lease spare bandwidths...

In a mobile blockchain network, many devices have insufficient computational capacity to execute computation-intensive tasks locally. To tackle this problem, can be offloaded edge servers with the aid of auction. However, most auction mechanisms on ignore automatic parallel execution and long-term performance. This paper aims solve problem computation offloading in network. We transform into multi-choice multi-dimensional knapsack which is NP-hard. improve total utility participants,...

In vehicular edge computing, efficient strategies for model deployment and task offloading offer tremendous potential to reduce response time machine learning inference. However, existing works do not pay much attention that there are shared structures among different types of inference tasks. This limits the improvement in time. paper aims fill this gap by investigating a share-aware joint problem multi-task computing. We formulate with an objective minimize total all requests, under...

Private car-based carpooling (PCC) has become an important transportation mode in our daily life. Unlike ride-hailing or taxi-based carpooling, PCC two unique features that have yet to be fully explored: (i) A private-car driver more bargaining space than a non-private car driver; (ii) There exists unfriendly congestion private if not handled well. Existing schemes are tailored for services with oversimplified assumption passengers pay detour fees and there is no guarantee on the passenger's...

Blockchain technology is emerging in various fields, to guarantee security of digital currency and internet things. In this paper, we provide incentive encourage edge servers serve mobile users for the blockchain application. We formulate problem as a resource allocation problem, then propose three-stage auction implement specially designed blockchain, introduce group-buying mechanism motivate users. prove that our scheme truthful, individual rationality, computational efficiency. compare...

Fog computing has become an emerging distributed paradigm to provide services with low latency and high throughput. However, load unbalance is serious due the difference in geography, which results performance deterioration utilization of resources fog network. In this paper, tradeoff between delay energy consumption for nodes. Meanwhile, problem minimizing maximum homogeneous network formulated its NP-hardness proved. Then, a greedy algorithm proposed solving by giving preference offloading...

In vehicular networks, task scheduling at the microarchitecture-level and network-level offers tremendous potential to improve quality of computing services for deep neural network (DNN) inference. However, existing works only focus on either one two levels, which results in inefficient utilization resources. This paper aims fill this gap by formulating a two-level problem DNN inference tasks network, with an objective minimizing total weighted sum response time energy consumption all under...

Intelligent edge services should consider not only service provider's resource constraints but also end user's quality of experience (QoE) demands. In this regard, we study a digital twin caching and request routing problem with consideration both fairness-awareness under the collaboration multi-access computing (MEC) servers. We first formulate as an integer nonlinear programming by maximizing minimum task completion ratio when there are multiple heterogeneous services, subject to...

Cloud computing is a new resource provisioning mechanism, which represents convenient way for users to access different resources. Periodical workflow applications commonly exist in scientific and business analysis, among many other fields. One of the most challenging problems determine right amount resources multiple periodical applications. In this paper, scheduling problem with total renting cost minimization considered. The novelty work relies precisely on objective function, more...

Blockchain technique has been widely applied in various fields, such as finance, Internet of Things, law, etc. However, it is a challenge to apply blockchain for mobile applications, the devices cannot afford computing resources required by mining processes. This paper proposes mechanism based on combinatorial double auction offload process miners edge servers. The formulated resource allocation problem. corresponding algorithms and payment scheme are proposed allocate calculate trade...

Mobile Edge Computing (MEC) as an emerging paradigm utilizing cloudlet or fog nodes to extend remote cloud computing the edge of network, is foreseen a key technology towards next generation wireless networks. By offloading computation intensive tasks from resource constrained mobile devices cloud, energy can be saved and capability enhanced. For nodes, they rent rich help them process incoming devices. In this architecture, benefit short delay fully exploited. However, existing studies...