The microservice architecture is increasingly popular for flexible, large-scale online applications. However, existing resource management mechanisms incur high latency in detecting Quality of Service (QoS) violations, and hence, fail to allocate ...

Traditional measures of search success often overlook the varying information needs of different demographic groups. To address this gap, we introduce a novel metric, named Group-aware Search Success (GA-SS). GA-SS redefines search success to ensure that ...

Quality-of-Service (QoS) requirements differ for various IoT applications such as for smart health, reliability is the need, for industry, delay is essential, etc. The Routing-Protocol-for-Low-Power-Lossy-Network (RPL) with Objective Function (OF) is ...

This paper focuses on optimising energy consumption within Next-Generation Networks (NGNs) during cluster formation, cluster head selection, and routing processes. NGNs, composed of diverse intelligent nodes with varying battery power and computational ...

The need for low-complexity precoding and the fact that inter-user interference (IUI) lowers spectral efficiency (SE) at user terminals (UTs) make it even more important to find a solution that reduces IUI and increases SE. The research introduces an ...

More and more federated cloud platforms have been constructed to deal with non-trivial large-scale applications, which typically require certain level of quality-of-service (QoS) guarantee. However, most of existing cloud-oriented QoS solutions are ...

The proliferation of sensor devices and services along with the advances in event processing brings many new opportunities as well as challenges. It is now possible to provide, analyze and react upon real-time, complex events about physical or ...

Deep learning model inference is a key service in many businesses and scientific discovery processes. This paper introduces Ribbon, a novel deep learning inference serving system that meets two competing objectives: quality-of-service (QoS) target and ...

Continuous demands for higher performance and reliability within stringent resource budgets is driving a shift from homogeneous to heterogeneous processing platforms for the implementation of today’s cyber-physical systems (CPSs). These CPSs are ...

As automotive systems become more intelligent than ever, they need to handle many functional tasks, resulting in more and more software programs running in automotive systems. However, whether a software program should be executed depends on the ...

Serverless computing is a rapidly growing paradigm that easily harnesses the power of the cloud. With serverless computing, developers simply provide an event-driven function to cloud providers, and the provider seamlessly scales function invocations to ...

In heterogeneous multicore systems, the memory subsystem plays a critical role, since most core-to-core communications are conducted through the main memory. Memory efficiency has a substantial impact on system performance. Although memory traffic from ...

In service composition, quality‐of‐service (QoS) represents a crucial indicator for the policy adoption. Existing composition strategies rarely address the influence of the environment, which may influence QoS and thus lead to sub‐optimal composition ...

In recent cloud systems, data-intensive applications have been widely deployed for solving non-trivial problems, which often involve large amount of dataset. As a standard service for offering data availability and reliability, data replication service ...

Recently, federated cloud platform has become a promising paradigm to provide cloud services for various kinds of users in a distributed manner. To compete for cloud users, it is critically important for each cloud provider to select an optimal price that ...

The max–min fairness (MMF) strategy has been widely employed to manage wireless networks since it guarantees fairness among users. However, with a large number of users awaiting service, the network tends to be congested and the quality‐of‐service (QoS) ...

In modern heterogeneous MPSoCs, the management of shared memory resources is crucial in delivering end-to-end QoS. Previous frameworks have either focused on singular QoS targets or the allocation of partitionable resources among CPU applications at ...

In cloud platforms, resource allocation service plays an important role for running user applications efficiently. However, current allocation mechanism in many cloud platforms only provides best-effort service for user's jobs, which means that user's ...

Traditional network security protocols depend on exchanging the security keys between the network nodes, and thus opposing the network to different classes of security threats. In this paper, a multi-agent system for cryptographic key generation is ...

In underlay cognitive radio networks (CRNs), secondary users (SUs) are allowed to co‐exist with the primary users at the cost of reduced transmit power in order to satisfy the stringent interference constraint. This obligation reduces the coverage area of ...