Review on Mapping of Tasks to Resources in Cloud Computing

Resource allocation and scheduling algorithms are the two essential factors that determine the satisfaction of cloud users. The major cloud resources involved here are servers, storage, network, databases, software and so on based on requirements of customers. In the competitive scenario, each service provider tries to use factors like optimal configuration of resources, pricing, Quality of Service (QoS) parameters and Service Level Agreement (SLA) in order to benefit cloud users and service providers. Since, many researchers have proposed different scheduling algorithms and resource allocation strategies, it becomes a cumbersome task to conclude which ones really benefit customers and service providers. Hence, this paper analyses and presents the most relevant considerations that would help the cloud researchers in achieving their goals in terms of mapping of tasks to cloud resources.

Optimization of a Mobile Energy Storage Network

This paper introduces the mobile battery network for electronic devices through powerbanks in a city, and proposes an optimization model to find the optimum site and set-up of the network considering costumers demand, logistics components, the batteries degradation, and terminal’s charger regime. To this end, a series of degradation tests were carried out on lithium-ion batteries, in four different charger regimes, in which the battery voltage amplitude and the charging electric current were varied. The results of these tests were incorporated into the optimization model as the depreciation rate and charge time over battery life. The mathematical modeling innovates by including new components designed specifically for this new problem: battery availability according to charging time; different types of customer service; objective function modeling that includes the logistical costs of battery relocation, terminal maintenance, and battery depreciation. The results indicate that the network performance using batteries in the fastest charging configuration tends to have a positive impact on their efficiency and profitability. The model can be used as a reference for other applications that require recharge points that enable the use of mobile batteries, such as electric scooters, electric bicycles, and drones, among others.

Opportunities and Challenges in Converting Existing Natural Gas Infrastructure for Hydrogen Operation

Hydrogen holds enormous potential in helping the world achieve its decarbonization goals and is set to play a key role in the Energy Transition. However, two central building blocks are needed to make the hydrogen economy a reality: 1) a sufficient source of emissions-free (i.e., blue or green) hydrogen production and 2) a needs-based transportation and storage network that can reliably and cost-effectively supply hydrogen to end-users. Given the high costs associated with developing new transportation infrastructure, many governments, pipeline operators, and regulatory bodies have begun exploring if it is both possible and economical to convert existing natural gas (i.e., methane) infrastructure for hydrogen operation. This paper outlines opportunities and technical challenges associated with such an endeavor – with a particular focus on adaptation requirements for rotating equipment/compressor drive trains and metallurgical and integrity considerations for pipelines.

Expandable Substrate Module and Storage Network Compatible w/ BitBadges

(THIS IS THE MIRROR OF A GRANT PROPOSAL). We are working on creating a storage network module on substrate compatible w/ the BitBadges blockchain. This will allow for substrate to interact in a meaningful way with the BitBadges ecosystem, which follows an experimental PoCP or Proof of Computation proof.Other projects like Crust or Subspace are within the same realm of trying to create some form of storage network. The difference is how BitBadges goes about accomplishing this and what a substrate module as an integration will provide. BitBadges as a whole is working on offline-centric networks and integrating variations of distributing sharding algorithms. Their data is transmitted w/ CouchDB being an integral part of its core for node syncronization. BitBadges is also integrating w/ various third party networks viewed as either pegs or applications.We believe that the substrate ecosystem can provide another integration w/ our network and we might even be able to create something similar to what Crust is doing on their mainnet, but w/ BitBadges as the storage method or a mirrored peg for the data. Our team, which is currently just two people, are passionate and have years of blockchain development experience under our belts. We think Substrate can work great as one of our third party integrations or pegged chains.

Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research

With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of IoT in e-commerce, and proposes a ubiquitous storage method for massive sensory data by combining the sensory feedback mechanism of sensors, which makes full use of the storage resources of IoT storage network elements and maximally meets the massive. In this paper, we propose a ubiquitous storage method for massive sensing data, which makes full use of the storage resources of IoT storage network elements to maximize the storage requirements of massive sensing data and achieve load-balanced data storage. In this paper, starting from the overall development of IoT in recent years, the weak link of intelligent information processing is reinforced based on the sensory feedback mechanism of sensor technology.

A Novel Repairable Fountain Codes Scheme Based on Partial Duplication Technique

Distributed storage system (DSS) is an emerging paradigm which provides reliable storage services for various source data. As the fault-tolerance scheme for DSS, erasure codes are required to provide redundancy service with high fault-tolerance and low cost. However, the existing coding scheme cannot provide these requirements well. Thus, it becomes an important yet challenging issue to find a code for storing various source data with high fault-tolerance and low cost. In this paper, a novel construction of repairable fountain codes with unequal locality is proposed by combining with partial duplication tech- nique, namely the PD-ULRFC scheme. We construct a multi-tier heterogeneous storage network, where data core, processing units and storage nodes collaboratively store and transmit data. Moreover, the proposed PD-ULRFC scheme can reduce the repair and download cost by sacrificing a little extra storage occupation. Furthermore, the expressions of the repair cost and download cost are derived to analyze the performance of PD-ULRFC scheme. The simulation results demonstrate that the PD-ULRFC scheme significantly outperforms other redundant schemes in communication cost saving.

A Conceptual Architecture in Decentralizing Computing, Storage, and Networking Aspect of IoT Infrastructure

Since the inception of the Internet of Things (IoT), we have adopted centralized architecture for decades. With the vastly growing number of IoT devices and gateways, this architecture struggles to cope with the high demands of state-of-the-art IoT services, which require scalable and responsive infrastructure. In response, decentralization becomes a considerable interest among IoT adopters. Following a similar trajectory, this paper introduces an IoT architecture re-work that enables three spheres of IoT workflows (i.e., computing, storage, and networking) to be run in a distributed manner. In particular, we employ the blockchain and smart contract to provide a secure computing platform. The distributed storage network maintains the saving of IoT raw data and application data. The software-defined networking (SDN) controllers and SDN switches exist in the architecture to provide connectivity across multiple IoT domains. We envision all of those services in the form of separate yet integrated peer-to-peer (P2P) overlay networks, which IoT actors such as IoT domain owners, IoT users, Internet Service Provider (ISP), and government can cultivate. We also present several IoT workflow examples showing how IoT developers can adapt to this new proposed architecture. Based on the presented workflows, the IoT computing can be performed in a trusted and privacy-preserving manner, the IoT storage can be made robust and verifiable, and finally, we can react to the network events automatically and quickly. Our discussions in this paper can be beneficial for many people ranging from academia, industries, and investors that are interested in the future of IoT in general.