The Use of IT Solutions Offered in the Public Cloud to Reduce the City’s Carbon Footprint

An important trend in today’s economy is to reduce the carbon footprint of organizations, businesses and households. Modern technologies, including ICT solutions, contribute to the reduction of CO2 production. The article focuses on the potential of using the cloud computing model in managing a modern and intelligent city. Modern city offices have an extensive IT infrastructure. With the emergence of new services provided online by the offices, the server infrastructure is also developing. Server rooms together with additional devices are characterized by high demand for electricity. Along with this, significant amounts of CO2 are produced. An alternative is the use of Cloud Computing solutions, which contribute to a significant reduction of the carbon footprint. The paper analyses potential solutions that can be used in city offices. The benefits and positive impact on the environment were highlighted. The empirical research was conducted based on questionnaires received from city offices. The results obtained indicate that city halls contribute significantly to the production of CO2. Moving IT services and solutions in whole or in part to cloud computing should be considered as one of the important elements of managing a smart and green city.

Public Transportation Network Design and Frequency Setting: Pareto Optimality through Alternating-Objective Genetic Algorithms

The transportation network design and frequency setting problem concerns the optimization of transportation systems comprising fleets of vehicles serving a set amount of passengers on a predetermined network (e.g., public transport systems). It has been a persistent focus of the transportation planning community while, its NP-hard nature continues to present obstacles in designing efficient, all-encompassing solutions. In this paper, we present a new approach based on an alternating-objective genetic algorithm that aims to find Pareto optimality between user and operator costs. Extensive computational experiments are performed on Mandl’s benchmark test and prove that the results generated by our algorithm are 5–6% improved in comparison to previously published results for Pareto optimality objectives both in regard to user and operator costs. At the same time, the methods presented are computationally inexpensive and easily run on office equipment, thus minimizing the need for expensive server infrastructure and costs. Additionally, we identify a wide variance in the way that similar computational results are reported and, propose a novel way of reporting benchmark results that facilitates comparisons between methods and enables a taxonomy of heuristic approaches to be created. Thus, this paper aims to provide an efficient, easily applicable method for finding Pareto optimality in transportation networks while highlighting specific limitations of existing research both in regards to the methods used and the way they are communicated.

High Availability Server Using Raspberry Pi 4 Cluster and Docker Swarm

In the Industrial 4.0 era, almost all activities and transactions are carried out via the internet, which basically uses web technology. For this reason, it is absolutely necessary to have a high-performance web server infrastructure capable of serving all the activities and transactions required by users without any constraints. This research aims to design a high-performance (high availability) web server infrastructure with low cost (low cost) and energy efficiency. low power) using Cluster Computing technology on the Raspberry Pi Single Board Computing and Docker Container technology. The cluster system is built using five raspberry Pi type 4B modules as cluster nodes, and the Web server system is built using docker container virtualization technology. Meanwhile, cluster management uses Docker Swarm technology. Performance testing (Quality of Service) of the cluster system is done by simulating a number of loads (requests) and measuring the response of the system based on the parameters of Throughput and Delay (latency). The test results show that the Raspberry Pi Cluster system using Docker Swarm can be used to build a High Availability Server system that is able to handle very high requests that reach Throughput = 161,812,298 requests / sec with an Error rate = 0%.

RESTful Web Services on Standalone Disaggregated FPGAs

We present an architecture for field-programmable gate arrays (FPGAs) to expose RESTful web services. This architecture allows clients to access accelerated web services from any platform and programming language that can perform RESTful API calls. By using this architecture, the client's application benefits from a high throughput and low latency web service interface. Traditionally, FPGAs are deployed in CPU-centric infrastructures as worker devices in the form of accelerators. However, for FPGA-centric applications, the overhead of a host CPU diminishes the performance, scalability and energy efficiency. cloudFPGA solves these issues by deploying FPGAs as standalone, disaggregated resources in the DC. Building on top of the cloudFPGA platform, the presented architecture simplifies the integration of FPGA-accelerated functions with cloud applications. A configurable hardware block that can be generated from an OpenAPI-based specification of the web service is used to deploy an FPGA-based application. We compare a natural language processing (NLP) application that is exposed as a web service using the traditional server infrastructure and our RESTful service layer. Measurements show an improvement of 20x in terms of throughput and 4x reduction in mean latency.

RESTful Web Services on Standalone Disaggregated FPGAs

We present an architecture for field-programmable gate arrays (FPGAs) to expose RESTful web services. This architecture allows clients to access accelerated web services from any platform and programming language that can perform RESTful API calls. By using this architecture, the client's application benefits from a high throughput and low latency web service interface. Traditionally, FPGAs are deployed in CPU-centric infrastructures as worker devices in the form of accelerators. However, for FPGA-centric applications, the overhead of a host CPU diminishes the performance, scalability and energy efficiency. cloudFPGA solves these issues by deploying FPGAs as standalone, disaggregated resources in the DC. Building on top of the cloudFPGA platform, the presented architecture simplifies the integration of FPGA-accelerated functions with cloud applications. A configurable hardware block that can be generated from an OpenAPI-based specification of the web service is used to deploy an FPGA-based application. We compare a natural language processing (NLP) application that is exposed as a web service using the traditional server infrastructure and our RESTful service layer. Measurements show an improvement of 20x in terms of throughput and 4x reduction in mean latency.

REVIEW FOR APPROACHES TO OPTIMIZE THE DATA EXCHANGE IN A NETWORK WITH MULTI SERVER INFRASTRUCTURE USING CRYPTOGRAPHY, COMPRESSION AND ACCELERATED ROUTING

In this article is being reviewed different approaches to optimize data exchange in a network using cryptography - to make any date secure, compression - to make any data smaller and accelerated routing, which is based on meta information about target destination: how far they are, how loaded they are. The object of research is the process of data exchange in the network. The purpose of the study is to optimize the process of data exchange in the network in order to improve the security and speed of data transfer. Research methods - statistical analysis of data transmission efficiency indicators. When transmitting data, cryptographic algorithms are used to ensure integrity and security, these algorithms allow the exchange of data using public and private key technology. But now this may not be enough to complicate the process of decrypting the data, it is advisable to make the messages transmitted between nodes as similar as possible to each other, for example, the same length. This solution will minimize the possibility of revealing the cipher by analysis for the attacker, but at the same time significantly increases the volume of transmitted messages due to the additional «masking» amount of data. To compensate for this effect in high-load networks, it is proposed to use a smart routing algorithm, which allows you to choose the optimal route for messages, taking into account the load of routers and channels between them. KEY WORDS: REQUEST, DATA EXCHANGE, ENCODINGS, ROUTING, CRYPTOGRAPHY