Cloud Environment Limitations and Challenges

Mangalampalli, Sudheer; Karri, Ganesh Reddy

doi:10.1201/9781003298335-2

Cited by 5 publications

(5 citation statements)

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“…In this attack, real time operations of information exchange, transactional operations and communication are interfered with [36]. Different types of attacks in this case are spoofing of IP and hijacking of sessions on the network [37], [38], [39]. Systems to detect intrusions may be implemented to prevent this level of attack as they give alerts when intrusions are executed.…”

Section: Man-in-the-middle (Mitm) Attacksmentioning

confidence: 99%

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Assessment of existing cyber-attack detection models for web-based systems

Awuor¹

2023

Global J. Eng. Technol. Adv.

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In the current technological environment, different entities engage in intricate cyber security approaches in order to counter damages and disruptions in web-based systems. The design of the security protocols relies on the guarantee that attacks are prevented in the web-based systems. Prevention and detection using techniques such as access control tools, encryption and firewalls present limitations in the full protection of web-based systems. Furthermore, despite the sophistication of current systems, there are still shortfalls in high false positive and false negative threat detection rates, which is attributed to poor adaptation by systems and networks to the changing threats and behavior of cyber-criminals. In this perspective, this survey paper discusses the existing cyber-attack detection models, and recommends the cyber-attack detection models and techniques that are appropriate for web-based systems. It is evident that deep learning techniques offer better performance and robustness compared to traditional machine learning techniques and other non-artificial intelligence-based techniques. Deep learning techniques learn and extract features automatically without human intervention and can also handle big and multidimensional data more conventionally than the other techniques.

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Section: Man-in-the-middle (Mitm) Attacksmentioning

confidence: 99%

“…[25] - [30] Man in the Middle (MitM) [31] - [34] Drive by Download [35] - [38] Password attacks [39] - [42] SQL Injection [5], [43] - [44] Cross Site Scripting (XSS)…”

Section: Author (S) Identified Attack (S)mentioning

confidence: 99%

Assessment of existing cyber-attack detection models for web-based systems

Awuor¹

2023

Global J. Eng. Technol. Adv.

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“…Platform as a service which enables virtual development environment to the users so that users can develop cloud applications on top of cloud environment. Software as a service gives readymade application services to be given to users developed by cloud vendors [2] and all these services to be deployed using various models known as public, private, hybrid, community cloud deployment models [3]. All these services are given to users based on customer need and they are customized by specifying Service level agreements (SLA).…”

Section: Introductionmentioning

confidence: 99%

Reliability aware Task scheduler in Cloud Computing using improved AsynchronousAdvantage Actor critic(A3C) algorithm

Mangalampalli,

Karri,

Chakrabarti

et al. 2024

Preprint

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Task Scheduling problem (TSP) in cloud computing is a critical aspect as diversified tasks from heterogeneous resources comes to cloud console. Mapping these diversified tasks to suitable virtual machines is challenge for the cloud service provider(CSP) to employ an efficient algorithm to tackle TSP. Ineffective scheduling lead to increase in makespan, failures which impacts reliability on CSP. Many authors developed various task scheduling mechanisms to tackle parameters makespan, execution time, energy consumption but very few authors addressed Rate of failures, reliability but there is need to optimize scheduling process in Cloud paradigm as it is a dynamic scenario. In this paper, a reliability aware task scheduler is formulated which calculates task priorities at task manager level to effectively schedule tasks. All priorities are fed to scheduler which is integrated with a deep Reinforcement learning model A3C which improved by adding RCNN to accelerate learning capacity and to extract features accurately mapping tasks to VMs according to their priorities. Simulations are carried out on Cloudsim using fabricated data distributions, real time worklogs. We evaluated our proposed RTSIA3C with baseline algorithms DQN, A2C. Results revealed that RTSIA3C outperformed over baseline approaches by minimizing makespan, rate of failures while improving reliability.

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“…An efficient and dynamic task scheduler is needed to manage these types of requests and distribute resources to various cloud users when users request services from the cloud environment at the same time and these requirements are made by customers from various heterogeneous, diversified resources. [2]. By offering extra resources like additional memory, storage, or processors, virtualization in cloud computing also enables us to set up access control over the resources to safeguard them and enable optimal resource usage.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review on Various Task Scheduling Algorithms in Cloud Computing

Rama Krishna,

Mangalampalli

2023

EAI Endorsed Trans IoT

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Task scheduling in cloud computing involves allocating tasks to virtual machines based on factors such as node availability, processing power, memory, and network connectivity. In task scheduling, we have various scheduling algorithms that are nature-inspired, bio-inspired, and metaheuristic, but we still have latency issues because it is an NP-hard problem. This paper reviews the existing task scheduling algorithms modelled by metaheuristics, nature-inspired algorithms, and machine learning, which address various scheduling parameters like cost, response time, energy consumption, quality of services, execution time, resource utilization, makespan, and throughput, but do not address parameters like trust or fault tolerance. Trust and fault tolerance have an impact on task scheduling; trust is necessary for tasks and assigning responsibility to systems, while fault tolerance ensures that the system can continue to operate even when failures occur. A balance of trust and fault tolerance gives a quality of service and efficient task scheduling; therefore, this paper has analysed parameters like trust and fault tolerance and given research directions.

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Cloud Environment Limitations and Challenges

Cited by 5 publications

References 0 publications

Assessment of existing cyber-attack detection models for web-based systems

Assessment of existing cyber-attack detection models for web-based systems

Reliability aware Task scheduler in Cloud Computing using improved AsynchronousAdvantage Actor critic(A3C) algorithm

A Systematic Review on Various Task Scheduling Algorithms in Cloud Computing

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