TEES:topology-aware execution environment service for fast and agile application deployment in HPC

High-performance computing(HPC)systems are about to reach a new height:exascale.Application deployment is becoming an increasingly prominent problem.Container technology solves the problems of encapsulation and migration of applications and their execution environment.However,the container image is too large,and deploying the image to a large number of compute nodes is time-consuming.Although the peer-to-peer(P2P)approach brings higher transmission efficiency,it introduces larger network load.All of these issues lead to high startup latency of the application.To solve these problems,we propose the topology-aware execution environment service(TEES)for fast and agile application deployment on HPC systems.TEES creates a more lightweight execution environment for users,and uses a more efficient topology-aware P2P approach to reduce deployment time.Combined with a split-step transport and launch-in-advance mechanism,TEES reduces application startup latency.In the Tianhe HPC system,TEES realizes the deployment and startup of a typical application on 17560 compute nodes within 3 s.Compared to container-based application deployment,the speed is increased by 12-fold,and the network load is reduced by 85%.

Exploring and Modelling IoT Offloading Policies in Edge Cloud Environments

The Internet of Things(IoT)has recently become a popular technology that can play increasingly important roles in every aspect of our daily life.For collaboration between IoT devices and edge cloud servers,edge server nodes provide the computation and storage capabilities for IoT devices through the task offloading process for accelerating tasks with large resource requests.However,the quantitative impact of different offloading architectures and policies on IoT applications’performance remains far from clear,especially with a dynamic and unpredictable range of connected physical and virtual devices.To this end,this work models the performance impact by exploiting a potential latency that exhibits within the environment of edge cloud.Also,it investigates and compares the effects of loosely-coupled(LC)and orchestrator-enabled(OE)architecture.The LC scheme can smoothly address task redistribution with less time consumption for the offloading sceneries with small scale and small task requests.Moreover,the OE scheme not only outperforms the LC scheme in the large-scale tasks requests and offloading occurs but also reduces the overall time by 28.19%.Finally,to achieve optimized solutions for optimal offloading placement with different constraints,orchestration is important.

Security-as-a-Service with Cyberspace Mimic Defense Technologies in Cloud

Users usually focus on the application-level requirements which are quite friendly and direct to them.However,there are no existing tools automating the application-level requirements to infrastructure provisioning and application deployment.Although some security issues have been solved during the development phase,the undiscovered vulnerabilities remain hidden threats to the application’s security.Cyberspace mimic defense(CMD)technologies can help to enhance the application’s security despite the existence of the vulnerability.In this paper,the concept of SECurity-as-a-Service(SECaaS)is proposed with CMD technologies in cloud environments.The experiment on it was implemented.It is found that the application’s security is greatly improved to meet the user’s security and performance requirements within budgets through SECaaS.The experimental results show that SECaaS can help the users to focus on application-level requirements(monetary costs,required security level,etc.)and automate the process of application orchestration.