PaaS Cloud Platform Research Articles

A Cloud-Native Web Application for Assisted Metadata Generation and Retrieval: THESPIAN-NER

Within the context of the Competence Centre for the Conservation of Cultural Heritage (4CH) project, the design and deployment of a platform-as-a-service cloud infrastructure for the first European competence centre of cultural heritage (CH) has begun, and some web services have been integrated into the platform. The first integrated service is the INFN-CHNet web application for FAIR storage of scientific analysis on CH: THESPIAN-Mask. It is based on CIDOC-CRM-compatible ontology and CRMhs, describing the scientific metadata. To ease the process of metadata generation and data injection, another web service has been developed: THESPIAN-NER. It is a tool based on a deep neural network for named entity recognition (NER), enabling users to upload their Italian-written report files and obtain labelled entities. Those entities are used as keywords either to serve as (semi)automatically custom queries for the database, or to fill (part of) the metadata form as a descriptor for the file to be uploaded. The services have been made freely available in the 4CH PaaS cloud platform.

2PC*: a distributed transaction concurrency control protocol of multi-microservice based on cloud computing platform

The two-phase commit (2PC) protocol is a key technique for achieving distributed transactions in storage systems such as relational databases and distributed databases. 2PC is a strongly consistent and centralized atomic commit protocol that ensures the serialization of the transaction execution order. However, it does not scale well to large and high-throughput systems, especially for applications with many transactional conflicts, such as microservices and cloud computing. Therefore, 2PC has a performance bottleneck for distributed transaction control across multiple microservices. In this paper, we propose 2PC*, a novel concurrency control protocol for distributed transactions that outperforms 2PC, allowing greater concurrency across multiple microservices. 2PC* can greatly reduce overhead because locks are held throughout the transaction process. Moreover, we improve the fault-tolerance mechanism of 2PC* using transaction compensation. We also implement a middleware solution for transactions in microservice support using 2PC*. We compare 2PC* to 2PC by applying both to Ctrip MSECP, and 2PC* outperforms 2PC in workloads with varying degrees of contention. When the contention becomes high, the experimental results show that 2PC* achieves at most a 3.3x improvement in throughput and a 67% reduction in latency, which proves that our scheme can easily support distributed transactions with multi-microservice modules. Finally, we embed our middleware scheme in the PaaS cloud platform and demonstrate its strong applicability to cloud computing through long-term analysis of the monitoring results in the cloud platform.

Toward Energy-Awareness Smart Building: Discover the Fingerprint of Your Electrical Appliances

Energy efficiency raises significant concerns as it is one of the most promising ways to mitigate climate change. Disaggregation and identification of individual electrical appliances activities are one of the essentials for energy preservation especially for smart buildings. This paper proposes a lightweight electrical appliance activity detection approach for smart building, which leverages a single smart metering device to establish a learning and detection processing for multiple appliances. In this system, data interpolation and transition detection algorithm are proposed to effectively reduce the cost of model training and optimize the detection accuracy. The concept of appliance fingerprint is proposed and a variety of fingerprints, including appliance-based and context-based, are defined to depict fine-grained appliance characteristics. Based on these fingerprints, the paper proposes a multisource fingerprint-weighting KNN (FWKNN) classification algorithm and presents a boosting framework for continuous online learning and detection. A prototype system is implemented and demonstrated in IBM Bluemix PaaS cloud platform. Experimental result and analysis prove that FWKNN outperforms other benchmark methods in detection accuracy.

An Automated Deployment Engine Based on a PaaS Cloud Platform of the Micro-service Architecture System

In view of the deployment management problems caused by the service atomization, architecture complexity and large-scale cluster of micro-service architecture system, a PaaS cloud platform automation deployment engine is designed and implemented based on the Docke PaaS platform so as to provide a simple, flexible, efficient, full-stack, full-process deployment solution to the micro service architecture system.

The Development of PaaS Based on Cloud Foundry

Cloud Foundry is the industry's first open source PaaS cloud platform, it supports a variety of framework, language, runtime cloud platform and application environment, the service that allows developers to make applications in a few seconds the deployment and expansion, there is no need to worry about any infrastructure problems. This paper introduces the main steps to build the PaaS service platform: Cloud Controller、 Health Manager、 stager、 service, and discusses the matters needing attention in construction process.

SLA-driven dynamic cloud resource management

As the size and complexity of Cloud systems increase, the manual management of these solutions becomes a challenging issue as more personnel, resources and expertise are needed. Service Level Agreement (SLA)-aware autonomic cloud solutions enable managing large scale infrastructure management meanwhile supporting multiple dynamic requirement from users. This paper contributes to these topics by the introduction of Cloudcompaas, a SLA-aware PaaS Cloud platform that manages the complete resource lifecycle. This platform features an extension of the SLA specification WS-Agreement, tailored to the specific needs of Cloud Computing. In particular, Cloudcompaas enables Cloud providers with a generic SLA model to deal with higher-level metrics, closer to end-user perception, and with flexible composition of the requirements of multiple actors in the computational scene. Moreover, Cloudcompaas provides a framework for general Cloud computing applications that could be dynamically adapted to correct the QoS violations by using the elasticity features of Cloud infrastructures. The effectiveness of this solution is demonstrated in this paper through a simulation that considers several realistic workload profiles, where Cloudcompaas achieves minimum cost and maximum efficiency, under highly heterogeneous utilization patterns.

Research on TPL Cloud Service Platform Architecture

This paper proposes the method of constructing the TPL (Third-party Logistics) cloud service platform for the problem of synergistic interaction between logistics and manufacturers. This paper analyzes the key technologies and the demand of TPL service platform from the perspective both of the logistics providers and of the users. This paper constructs the architecture of TPL cloud service platform based on intellisense and cloud, which consists of Iaas cloud platform, PaaS cloud platform, SaaS cloud platform and application terminals. We can achieve services convergence for the demand of logistics through the TPL cloud service platform.