Cloud Administrators Research Articles

An Analysis of Managing the Cloud: Obstacles and Solutions for Efficient Administration and Protection

Cloud management offers possibilities and difficulties to enterprises looking for effective management and strong data security. This essay examines the challenges associated with cloud administration and suggests workarounds for these issues. Assuring data security, upholding legal compliance, cutting expenses, and overseeing intricate multi-cloud setups are important obstacles. The use of cloud-native monitoring and governance tools, the implementation of extensive data backup and recovery plans, the use of automation for resource provisioning and administration, and the implementation of strong security measures like encryption and access restrictions are all necessary for finding solutions. Organizations may improve the security of their important data assets and expedite their cloud administration procedures by tackling these challenges with suitable solutions. Ensuring data security is a major concern in cloud administration. Organizations are concerned about data breaches, illegal access, and industry regulatory compliance when they move critical data to the cloud. Organizations need to have strong security mechanisms like identity management, access restrictions, and encryption in place to lessen these risks. Furthermore, implementing a defense-in-depth strategy that incorporates several security tiers might improve cloud environments' overall resilience. Upholding legal requirements and industry norms is another challenge for cloud managers. To secure sensitive data and uphold client confidence, businesses in regulated sectors like healthcare and finance are subject to strict compliance regulations. Adherence to frameworks like HIPAA, GDPR, and PCI DSS, as well as thorough policies and frequent audits are necessary to achieve compliance in the cloud. Organizations may minimize the risk of non-compliance penalties and expedite compliance processes by putting governance tools and compliance automation systems into place. For enterprises using cloud resources, cost optimization is another major concern. Pay-as-you-go cloud services might result in overspending and financial restrictions due to improper resource utilization.

SECURE AND EXPRESSIVE DATA ACCESS CONTROL FOR CLOUD STORAGE, BY USING CRYPTCLOUD+

An emerging form of cloud administration, secure distributed storage looks to protect sensitive data while still making it easily accessible to users regardless of where their data resides. A promising method that could be used to confirm the administration’s credibility is Encryption Using Ciphertext-Policy Attributes (CP- ABE). However, due to the “win or bust” decoding feature of CP-ABE, its use may result in an inevitable security breach known as the abuse of access certification (for example, unscrambling rights). On the one hand, side of the semi-believed specialist, the other is in, and favour of the an online client; both are studied in this paper. We propose CryptCloud+, a CP-ABE-based distributed storage framework with white-box recognizability and reviewing, to help curb abuse. We also detail the security analysis and provide experimental evidence of our framework value. INDEX TERMS: Attribute-based Ciphertext-Policy Encryption (CP- ABE), Inevitable Security Breach, win or bust, curb abuse

A Dynamic Workflow Scheduling Method based on MCDM Optimization that Manages Priority Tasks for Fault Tolerance

Because it offers efficient on-demand service delivery over the internet, cloud computing has become more and more popular. An architectural model for cloud computing energy management is provided by the suggested Ant Lion algorithm. Virtual Machines (VMs) in cloud systems are assigned to hosts based not so much on their overall and long-term use, but rather on their immediate resource consumption, including RAM availability. The placement and scheduling processes are frequently computationally demanding and have the potential to affect the performance of deployed virtual machines. In this research work, we offer a strategy that considers the historical resource use of virtual machines (VMs) over time while scheduling them in the cloud. Our goal is to use the Ant lion approach to schedule virtual machines (VMs) in a way that maximizes performance by evaluating the utilization levels of prior VMs. The goal is to reduce the degradation of performance brought about by Cloud administration tasks like as virtual machine deployment, which might impact systems that have already been installed. Furthermore, congested virtual machines (VMs) sometimes take up resources from nearby VMs, increasing the VMs' actual CPU use. Our results show that by learning and adjusting to system behavior over time, our strategy outperforms conventional instant-based physical machine selection. We offer the idea of scheduling virtual machines (VMs) using resource monitoring data from past VM resource use. By using the Ant lion classifier, four fewer physical machines are needed.

PowerGen: Resources Utilization and Power Consumption Data Generation Framework for Energy Prediction in Edge and Cloud Computing

The explosive adoption of IoT applications in different domains, such as healthcare, transportation, and smart home and industry, has led to the pervasive adoption of edge and cloud computing. Large-scale edge and cloud data centers, consisting of thousands of computing servers, are hungry-energy infrastructure exacerbating issues such as environmental carbon footprint and high electricity costs. Developing energy-efficient solutions for cloud infrastructure requires knowledge of the correlation between computing server resource utilization and power consumption. Power consumption modeling exhibits this relationship and is crucial for energy savings. In this paper, we propose PowerGen, a framework to generate server resources utilization and corresponding power consumption dataset. The proposed framework will aid academic researchers to formulate correlations between resources utilization and power consumption by using power prediction models, and evaluate energy-aware resource management approaches in an edge-cloud computing system. It will help edge and cloud administrators to evaluate the energy-efficiency of heterogenous severs architectures in a datacenter. We exemplify the applicability of the dataset, generated by our proposed framework, in power prediction modeling and energy-aware scheduling for green computing scenarios.

SvTPM: SGX-Based Virtual Trusted Platform Modules for Cloud Computing

Virtual Trusted Platform Modules (vTPMs) are widely used in commercial cloud platforms (e.g., VMware Cloud, Google Cloud, and Microsoft Azure) to provide virtual root-of-trust and security services for virtual machines. Unfortunately, current state-of-the-art vTPM implementations for cloud computing cannot provide strong protection for vTPMs at run-time and suffer from poor performance under binding vTPMs to a physical TPM. In this paper, we propose SvTPM, an SGX-based virtual trusted platform module, which provides complete life cycle protection of vTPMs in the cloud and does not rely on the physical TPM. SvTPM provides strong isolation protection so malicious cloud tenants or even cloud administrators cannot access vTPM's private keys or any other sensitive data. In this paper, we implement a prototype of SvTPM, which identifies and solves a couple of critical security challenges for vTPM protection with SGX, such as NVRAM rollback attacks, NVRAM binding attacks, and vTPM rollback attacks. SvTPM also shows how to establish trust between vTPM and SGX Platform. Our performance evaluation shows that the NVRAM launch time of SvTPM is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$1700\times$</tex-math></inline-formula> faster than vTPM built upon hardware TPM. In TPM standard command evaluation, we find that SvTPM incurs negligible performance overhead while providing strong isolation and protection. To our knowledge, SvTPM is the first practical work to solve the critical security challenges of securing vTPM using SGX.

Protecting Information Stored Inside the Cloud with A New CCA-EBO Protocol Designed on Hive Technology

Massively scalable facilities may be accessed online with ease due to "Cloud Computing (CC)". The CC resources are primarily characterized by the fact that "Cloud User (CU)" information is often kept on "Cloud Server (CS)" that the CU doesn't even possess or control. The CUs' apprehension about the loss of management of their information may lead to a substantial roadblock in their acceptance of CC offerings. In an attempt to highlight the effectiveness of CC security, the "Cloud Service Providers (CSP)" need to empower the CU to control and evaluate their data. The focus of this research chooses to highlight a key aspect of CC platforms employed to handle CU information on unrecognized CSs at remote locations. Concerns about compromising personal information arise from this feature's importance. In this research, a novel swarm-based "Enhanced BAT Optimization (EBO)" for key generating in "Cloud Computing Accountability (CCA)" for CC information tracking is proposed to solve security issues. Generally, this proposed hybrid CCA-EBO architecture is based on the idea of data accountability, which enables dispersed end-to-end responsibility. The information is made available to the general public, although with a limited set of permissions. The "Cloud Administrator (CA)" would specify the level of access each CU has to the data before it is made available to them. All CU accesses to data are recorded and will be found in a log file for CA to review. According to evaluation methods for the proposed CCA-EBO, existing "Hybrid Secure Cloud Storage (HSCS)", and "Advanced Distribution Verification Protocol (ADVP)", the CCA-EBO provides more security than HSCS, and ADVP in terms of "Auditing Time", "Encryption Time", "Decryption Time", and "Storage Overhead".

Efficient cost evaluation of real time applications using mathematical model in computing environment

The cloud real time services are provided in an efficient manner now a days in rapid way. The Cloud computing objective is an on-request administration model for end clients. The on-request administration model comprises memory stockpiling, equipment on the board, data handling, and different IoT applications utilizing numerical programming rationales with the upgraded fluffy model. Money saving advantage analysis is the thing that everybody should do as such as to consider a strong or a proficient framework. In any case, while thinking out on cost and advantage examination, we additionally need to figure out factors that truly influence the advantages and expenses of the framework. In creating quotes for a framework, we really want to think about some of the cost components. A few components among them are equipment, staff, office, working, and supply costs. By utilizing the fluffy model, the end clients get the best ideal cloud administrations. The proposed system provides mathematical model of rough set theory. The proposed model provides an adequate cost to the end users in terms of cloud services. For giving cloud administrations in a streamlined manner the fluffy rationale is assuming a significant part. Our proposed calculation is performing better under pressure from different calculations. The proposed algorithm finds the proposed system most suitable w.r.t cost. The reproduction of our calculation is finished in simulation system of the cloud environment.

A Optimized Taxonomy on Spot Sale Services Using Mathematical Methodology

In reality, the most appropriate cloud standards are significant ideas for application administrations. OSCCS technique calculation gives a spot-like market in virtual space to the end clients. The OSCCS gives an on-spot showcasing framework in the virtual universe of processing. As fluffy hypothesis is giving the specific outcomes and close to correct outcomes that is the reason that authors have taken the idea of fluffy unpleasant set hypothesis in their OSCCS approach. This sort of approach depends on the determination of the best ideal cost and season of asset allotment to an end client by the suppliers in virtual advertising. The allotments of assets depend on powerful on-request demand upkeep so the end-client gets the cloud administration on a business premise like in continuous shopping advertising on events. By the OSCCS deals approach framework, an end client can get the assistance at the ideal expense. The OSCCS calculation is mimicked in cloud test systems.

An effective monitoring, storage and analyze on industrial process on cloud big data by data publishing in industrial wireless sensor network

Upgraded cloud administrations and remote innovations are altering modern industrial communications. By consolidating the advantages of distributed computing and enormously intelligent correspondence, modern remote organizations can improve framework checking and control. The need of embracing cloud computing advances for handling gigantic information from sensors is talked about in the review. A sensor network is a remote framework comprised of geologically scattered independent items that are fitted with sensors and work together to watch out for the physical and natural circumstances at different modern destinations. In this review, we make a remote cloud stage for data posting and modern climate detecting. Notwithstanding, the data should be put away using cloud computing innovation as this empowers handling, putting away, and framework organization with minimal expense virtualization and adjustment choices. An open, versatile, and inconsistent foundation for overseeing and controlling applications can be presented by distributed computing. The cloud framework is made as an independent organization that speaks with devices that use channel jumping convention. By incorporating a proactive cross layer transferring technique, the cloud stage improves industry-standard systems administration functionalities while dealing with the conveyance of information that is idleness and throughput-basic. Advantages of this framework incorporate appropriateness for any shrewd gadget can screen continuous modern data any place it is, as well as its sensible stockpiling limit and straightforward PC power. The administrators and regulators can utilize any web proficient gadget to get to our cloud administration completely.

Design of network security storage system based on under cloud computing technology

Computer networks are frequently utilised today. Along with the convenience, internet viruses and attackers are a concern point for users. Currently, it has been challenging to meet the demands of standard defence measures in the fight over network security threats. As a result, high-quality network storage systems can be progressively improved in order to satisfy the requirements of security of computer networks under the cloud computing paradigm. Its cloud administrations were open whenever and anyplace customers required them. As an outcome, shoppers are allowed to buy anything that IT administration they need, and they don't need to stress over how simple things can be managed. The far off server is utilized in another data stockpiling processing engineering that is viewed as an Internet age. Guaranteeing security, material at asset suppliers' destinations is a test that should be tended to in cloud innovation. Therefore, this research suggests developing development for security of information storing with a variety of tasks, wherein information is mixed and partitioned into various code outlines and dispersed across numerous supplier places, as opposed to dependence on a single supplier for information putting away. This assistance was used to enhance the new construction's anticipated security, adaptability, or unchanging quality.

Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach

Many cloud service providers offer access to versatile, dependable processing assets following a compensation as-you-go display. Investigation into the security of the cloud focusses basically on shielding genuine clients of cloud administrations from assaults by outer, vindictive clients. Little consideration is given to restrict malicious clients from utilizing the cloud to dispatch assaults, for example, those as of now done by botnets. These assaults incorporate propelling a DDoS attack, sending spam and executing click extortion. Bots’ detection in the cloud environment is a complex process. The purpose of this study was to create a multi-layered architecture that could detect a variety of existing and emerging botnets. The goal is to be able to detect a larger range of bots and botnets by relying on several techniques called trust model. On this work, the port access verification in trust model is achieved by a Heuristic factorizing algorithm which verifies the port accessibility between client-end-user and client server. Further, back-off features are extracted from the particular node and all these structures are trained and categorized with a Co-Active Neuro Fuzzy Expert System (CANFES) classifier. The performance of the proposed bot detection system in the internet environment is analyzed latency, detection rate, packet delivery ration, energy availability and precision.

Protecting Data on Mobile Cloud Computing

Mobile Cloud Computing is a combination of general Cloud Computing and Mobile Computing in which we have to access resources from the remote cloud data center with the help of mobile electronics and peripherals like mobile smartphones, laptops, gadgets, etc. via Cellular Technology or Wireless Communication. Mobile devices have lots of resource constraints like storage capacity, processing speed, and battery life. Hence through simple mobile computing software and programming, we cannot manipulate on mobile devices of cloud data center information. Because of such kinds of difficulty, we have to process information or data through external mobile devices. Accessing and processing of data with the help of Trusted Third Party Agency (TPA) outside the cloud data center and mobile devices have lots of security challenges. To make cloud data secure over outside resources, lots of terminologies and theory are put forward by various researchers. In this paper, we will analyze their theory and its limitations and offer our security algorithm proposal. In this thesis article, we analyze the security framework for storing data on Cloud Server by Mobile and limitation of this process. Also, we review the theory of how data can be secure our data on cloud administrators.

Network Services Anomalies in NFV: Survey, Taxonomy, and Verification Methods

Network Function Virtualization (NFV) has emerged as a disruptive networking architecture whose galloping evolution is prompting enterprises to outsource network functions to the cloud and ultimately harvest the fruits of cloud computing, including elasticity, pay-as-you-go billing model, and on-demand services provisioning. However, many reluctant enterprises oppose the benefits of this outsourcing to their critical and pressing concerns about security, trust, and compliance. The latter anticipate possible security and QoS policy violations stemming from dishonest behaviors by cloud providers, attacks by co-resident competitors, misconfiguration by cloud administrators, or implementations flaws by NFV developers. As a result, migrating sensitive workloads to the cloud requires enterprises to first assess risks by gaining knowledge of possible network services’ anomalies and second, to build trust in the cloud by designing effective mechanisms to detect such anomalies. This survey provides scrutiny of network services anomalies that may occur in the NFV environments. We first present a taxonomy of network service anomalies and analyze their negative impacts on critical service attributes, including security and performance. Second, we compare and classify the existing anomalies’ verification mechanisms from the literature. Finally, we point out the literature gap and identify future research directions for anomalies verification in NFV.

Implementation Design In the Creation of Companies In the 4.0 Technology Era

Industry 4.0 has been referred to as a new modern stage in which various developing technologies come together to deliver continuous innovation. After all, there is no understanding of how the organization does this innovation. After all, no one knows how the company performs this type of innovation. In this way, we expect to gain a better understanding of how Industry 4.0 ideas are accepted in assembly plants. We present a theoretical framework for this advancement, which we divide into two categories: front-end and base innovation. Front-end innovation considers four factors: smart manufacturing, smart products, a smart inventory network, and smart work, whereas basic advancement considers four factors: the internet of things, cloud administration, big data, and investigation. The sampling method, variable definition, sample and variance method, and data analysis are all used in this study. To focus on adopting these advancements, we reviewed 92 assembly organizations. Our findings imply that Industry 4.0 is linked to a fundamental embrace of front-end innovations, with Smart Manufacturing taking center stage. Our findings also suggest that implementing basic innovations is putting the organization to the test, given the sample in question still has very little knowledge and testing. We propose the creation of an Industry 4.0 innovation layer and demonstrate the extent of adoption of these advancements as well as their company-building ideas.

Reconfigures Protected Protocols for Advanced Cloud Computing

Cloud computing is a term which used to depict both a stage and kind of utilization. Cloud computing varies from customary registering ideal models as it is adaptable, can be embodied as a conceptual these elements which gives us diverse level of administrations to the customers, driven by economies of scale and the administrations are progressively configurable. Information put away in outsider stockpiling frameworks like the cloud probably won't be secure since classification and honesty of information are not ensured. In spite of the fact that distributed computing gives savvy stockpiling administrations. Subsequently, numerous associations and clients may not utilize the cloud administrations to store their information in the cloud until the point that specific security ensures are made. In this paper, an answer for the issue of safely putting away the customer's information by keeping up the privacy and trustworthiness of the information inside the cloud is produced. The proposed conventions are created which guarantee that the customer's information is put away just on confided away servers, reproduced just on confided away servers, and certification that the information proprietors and other favored clients of that information get to the information safely.

Working Analysis of Multistage Cloud Security Algorithms

Abstract: The security of Cloud computing has been a quickly developing administration which has numerous highlighted services over internet which reduces the cost and operating expenses. The greatest favorable position of cloud administrations is that one can work online in the cloud, whenever the term online comes it automatically concerns about data security. Cloud security gives better approaches for conveying security arrangements till now. In cloud storage we require security for the data so we will encrypt our data into cipher text before uploading and whenever we want access just decrypt cipher text with security policies. In this paper we are analyzing the symmetric encryption algorithm with asymmetric algorithm like DES, RSA and AES, IDEA, Blowfish etc to provide security to cloud data from attackers. By this encryption technique economically allows cloud access. Keywords: AES, 3DES, RSA, DES, BLOWFISH, IDEA, CRYPTOGRAPHY

Blockchain-based Scalable and Secure EHR Data Sharing using Proxy Re-Encryption

Electronic Health Record (EHR) includes highly sensitive data like medical images, prescriptions, medical test result, medical history of patients, etc., These sensitive data cannot be transmitted in its original form in the network due to security issues. Hence, encryption is done prior to transmission. To increase the speed of data transfer and to overcome the storage issues, data is usually transferred through the cloud. Hence, to ensure the security and scalability of the data, a third-party encryption called re-encryption is performed at the proxy cloud. This re-encryption ensures that the data can be reliably transmitted through the network. In this research, a novel scheme called block-chain based EHR data sharing using chaotic re-encryption (BC-EDS-CR) is proposed. In the proposed scheme, re-encryption is performed using chaos theory. The proposed re-encryption scheme ensures that the cloud administrator cannot access the medical data. Metrics such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index (SSIM), entropy and correlation coefficient are used in evaluating this scheme. It was found that the proposed scheme outperforms the existing methods by achieving a PSNR of 57.66, SSIM of 0.985 and MSE of 0.058.

Utilization of Cloud Computing in the field of LIS

Distributed computing is a procedure that gives benefits to virtual machines. Distributed computing administrations are changing how organizations and open establishments use data innovation. Today cloud administrations are accessible to meet most any Information Technology (IT) needs. The primary point of Cloud registering is to get adaptability the framework, because of which Central Processing Unit (CPU) and memory will be completely used. Utilization of distributed computing in libraries is generally new territory when contrasted with its applications in business and corporate division. Libraries everywhere throughout the world are moving towards distributed computing usage to utilize the highlights and administrations of it to improve their frameworks and administrations. This article talks about the nuts and bolts of distributed computing alongside its attributes, types, favourable circumstances, needs and applications in the field of libraries. This article talks about both the positive and negative part of distributed computing and it additionally tells the accepted procedures for the execution in the library condition to get its most extreme advantage.

Implementation of multicloud strategies for healthcare organisations to avoid cloud sprawl

Healthcare organisations are being overwhelmed by data, devices and apps, and disjointed multiple cloud services. Well-heeled multicloud can provide a unified cloud model that provides greater control and scalability at reduced costs. Healthcare multicloud is turning into an appealing path for associations to manage the blast of advanced healthcare information in digital health, internet of things, associated gadgets and healthcare applications. As more human services associations grasp distributed computing, they are progressively going to a blend of open, private, and hybrid cloud administrations and foundation. In fact most of the healthcare service organisations plan to utilise different cloud vendors over the upcoming years. While having multiple cloud vendors can give organisations more flexibility and redundancy, managing multiple clouds can be a challenge. It can lead to cloud sprawl, unauthorised cloud use known as shadow IT, disjointed cloud solutions, inefficiencies, and waste.

Virtual Assistant with Applications of IOT

Abstract: Man-made consciousness innovations are starting to be effectively utilized in human existence, this is worked with by the appearance and wide scattering of the Internet of Things (IOT). Independent gadgets are becoming more intelligent in their manner to communicate with both a human and themselves. New limits lead to making of different frameworks for mix of savvy things into Social Networks of the Internet of Things. One of the important patterns in man-made brainpower is the innovation of perceiving the normal language of a human. New experiences in this theme can prompt new method for normal humanmachine cooperation, in which the machine would figure out how to comprehend human's language, changing and connecting in it. One of such devices is voice associate, which can be incorporated into numerous other shrewd frameworks. In this workshop, the standards of the working of voice collaborators are depicted, its principle weaknesses and restrictions are given. The strategy for making a neighborhood voice colleague without utilizing cloud administrations is depicted, which permits to altogether grow the pertinence of such gadgets later on.