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Traditional cloud architectures struggle to effectively allocate resources to container-based workloads due to fluctuating usage patterns and potential interference among multi-tenants. Conventional scheduling methods, which primarily rely on user-...

As the containers are lightweight in resource usage, they are preferred for cloud and edge computing service deployment. Containers serve the requests whenever a user sends a query; however, they remain idle when no user request comes. Again, ...

• Improving the consolidation ratio in cloud data centers by an efficient state management of the containers.
• Proposing a system architecture along with problem formulation for performing the state checkpointing and resumption of the ...

Due to the frequent starts and stops of numerous services in FaaS (Function as a Service), reducing cold start overhead is a core issue in improving the performance of container-based FaaS services. Snapshot and restore-based mechanisms effectively ...

Packet processing in current network scenarios faces complex challenges due to the increasing prevalence of requirements such as low latency, high reliability, and resource sharing. Virtualization is a potential solution to mitigate these ...

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• Overhead caused by virtualization is negligible in tail latencies.
• Container can process low-latency traffic with careful optimizations.
• Container can process low-latency traffic depending on the hardware cache design.
• Modeling ...

Post-deployment monitoring (PDM) occurs in the late stages of a DevSecOps (DSO) pipeline. Its role in DSO is critical in providing feedback loops on system performance leading to desirable changes achieving long-term system and application sustainment. ...

As the demand for container technology and platforms increases due to the efficiency of IT resources, various workloads are being containerized. Although there are efforts to integrate various workloads into Kubernetes, the most widely used ...

In High Performance Computing (HPC), containers are becoming increasingly vital for efficient software management, yet their complexity limits broader adoption. The need for extensive knowledge and complex commands sets a high entry barrier, burdening ...

Today, with the increasing expansion of IoT devices and the growing number of user requests, processing their demands in computational environments has become increasingly challenging.The large volume of user requests and the appropriate ...

Computational services are progressively migrating to container-based solutions due to their faster provision time and lower resource allocation overhead. Service providers rely on container multi-tenancy to share their computing infrastructure ...

Container technology is a new paradigm of virtualization technology that has developed very rapidly in recent years. In view of container clusters for AI tasks, tasks can be divided into training tasks and inference tasks. Among them, the scheduling ...

Workflows are special applications used to solve complex scientific problems. The emerging Workflow as a Service (WaaS) model provides scientists with an effective way of deploying their workflow applications in Cloud environments. The WaaS model ...

Edge computing has gained widespread adoption for time-sensitive applications by offloading a portion of IoT system workloads from the cloud to edge nodes. However, the limited resources of IoT edge devices hinder service deployment, making auto-...

Nowadays, with the development of science and technology, as well as the increase of important data and transactions, maintaining these data and transactions has become a big challenge. On the one hand, their maintenance cost is a very important ...

Most developers consider that microservice-based application design and development can improve scalability and maintainability. The microservices are developed as small independent modules and deployed in containers. The containers are deployed ...

With GPUs increasingly shared by DNN models at the edge, a crucial tradeoff arises between high GPU utilization and the ability of fast preemption when a high-priority request arrives. To reduce inference delay, an inference job can "burst" DNN kernels ...

Application containerization allows for efficient resource utilization and improved performance when compared to traditional virtualization techniques. However, managing multiple containers and providing services such as load balancing and fault ...

Microservice is a new architecture for application development that makes applications more flexible to deploy, extend and update compared to monolithic architectures. As container-based clouds rapidly gained popularity in recent years, more ...

Container based service deployment, operation and maintenance are widely used with the advent of the container technology. As an actual industry standard, image allows applications and their dependencies and execution environment to be packaged in a ...

The isolation technique of containers introduces uncertain security risks to malware detection in the current container environment. In this paper, we propose a framework called Malware Detection for Container Runtime based on Virtual Machine ...

Recycling in Mexican society faces challenges due to the lack of successful programs and limited citizen interest, resulting in the accumulation of solid waste in landfills. To address this issue, it is proposed to develop an interactive prototype of a ...