IoST: Internet of Softwarized Things Networks, Security Challenges and Future Research Directions DOI

Muhammad Adil,

Muhammad Attique, Jian Wang

et al.

2022 IEEE Globecom Workshops (GC Wkshps), Journal Year: 2022, Volume and Issue: unknown, P. 269 - 274

Published: Dec. 4, 2022

Internet of Softwarized Things (IoST) is a promising and dynamic programmable technology that has the capability to interconnect sensor devices with an objective share accumulated data in network without intervention human beings. Despite its advantages, this suffers from numerous security vulnerability threats, which can damage trust clients. Therefore, it very important familiarize readers, students, experts, industry stakeholders working domain existing counteraction schemes followed by potential threats. For redressal identified literature presents various schemes, but somehow they are unable provide fool-proof infrastructure for these networks, because attackers work restlessly compromise new countermeasure schemes. To explore discussion evaluate open challenges future research directions, paper, we present survey regarding most recent published 2020 2022. Following this, have covered architectural interoperability context threats their techniques identify weak aspects them. Based on underscored problems, highlighted unresolved set footstep could be useful all associated IoST technology.

Language: Английский

Game theory-based virtual machine migration for energy sustainability in cloud data centers DOI Creative Commons
Francisco Javier Maldonado Carrascosa, Sebastián García Galán, M. Valverde

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 372, P. 123798 - 123798

Published: July 3, 2024

As the demand for cloud computing services increases, optimizing resource allocation and energy consumption has become a key factor in achieving sustainability environments. This paper presents novel approach to address these challenges through an optimized virtual machine (VM) migration strategy that employs game-theoretic based on particle swarm optimization (PSO) (PSO-GTA). The proposed leverages collaborative competitive dynamics of Game Theory minimize while using renewable energy. In this context, game is represented by swarm, where each player, embodied particles, carries both cooperative elements essential shape collective behavior swarm. PSO integrated refine decisions, improving global convergence VMs hosts. Through extensive simulations performance evaluations, demonstrates significant improvements utilization efficiency, promoting research contributes development environmentally friendly systems, thus ensuring delivery energy-efficient computing. results demonstrate outperforms fuzzy genetic methods terms usage. PSO-GTA algorithm consistently Q-Learning, Pittsburgh KASIA across three simulation scenarios with varying cloudlet dynamics, showcasing its efficiency adaptability, yielding ranging from 0.68% 5.32% over baseline nine simulations.

Language: Английский

Citations

2
An Integrated Optimization-Based Algorithm for Energy Efficiency and Resource Allocation in Heterogeneous Cloud Computing Centers DOI Creative Commons
Kuang-Yen Tai,

Frank Yeong‐Sung Lin,

Chiu‐Han Hsiao

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 53418 - 53428

Published: Jan. 1, 2023

At a significant moment in the rapid development of cloud technology, large-scale computing centers have emerged. With emergence internet and artificial intelligence, enormous resources are required to process data train machine learning models. The architecture involves millions resources, improper management these can increase operating costs exert tremendous pressure on environment. This study proposes an optimized resource energy algorithm for with heterogeneous from perspective Green IT. Specifically, this models consumption at each point time relationship between tasks also considers calculation backup. approach will be expanded optimize decisions all based sequence while considering efficiency, task scheduling, execution time. By modeling issue as highly nonlinear optimization problem utilizing mathematical programming Lagrangian relaxation, we propose effectively manage create high performance low consumption.

Language: Английский

Citations

5
Load Balancing Techniques in Cloud Computing DOI
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani

et al.

Advances in computer and electrical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 105 - 134

Published: Jan. 25, 2024

In a cloud framework, conveyed figuring is flexible and modest area. It permits the development of strong environment that supports pay-per-view while taking client demands into account. The grouping replicated approaches collaborate as one computing system with constrained scope. Spread management's main goal to make it simple provide consent distant geographically distributed resources. Cloud little steps in direction turn dealing massive array issues, among them organizing. There are many methods for determining how correspond volume work PC structure expected complete. According evolving scenario such an effort, scheduler modifies occupations' coordinating situation. suggestion thinking Improvements assignment movement combination planning estimate have been made assessment FCFS least fulfillment time booking expert execution initiatives.

Language: Английский

Citations

1
E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers DOI Creative Commons
Vaneet Kumar,

Aleem Ali,

Payal Mittal

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(6), P. e0303313 - e0303313

Published: June 10, 2024

Cloud data centers present a challenge to environmental sustainability because of their significant energy consumption. Additionally, performance degradation resulting from management solutions, such as virtual machine (VM) consolidation, impacts service level agreements (SLAs) between cloud providers and users. Thus, achieve balance efficient consumption avoiding SLA violations, we propose novel VM consolidation algorithm. Conventional algorithms result in unnecessary migrations when improperly selecting VMs. Therefore, our proposed E2SVM algorithm addresses this issue by VMs with high load fluctuations minimal resource usage overloaded servers. These selected are then placed on normally loaded servers, considering stability index. Moreover, approach prevents server underutilization either applying all or no migrations. Simulation results demonstrate 12.9% decrease maximum compared the minimum migration time selection policy. In addition, 47% reduction violations was observed using medium absolute deviation overload detection holds promise for real-world it minimizes waste maintains low violations.

Language: Английский

Citations

1
Multi-objective optimization of virtual machine migration among cloud data centers DOI Creative Commons
Francisco Javier Maldonado Carrascosa,

Doraid Seddiki,

Antonio Jiménez Sánchez

et al.

Soft Computing, Journal Year: 2024, Volume and Issue: 28(20), P. 12043 - 12060

Published: July 24, 2024

Abstract Workload migration among cloud data centers is currently an evolving task that requires substantial advancements. The incorporation of fuzzy systems holds potential for enhancing performance and efficiency within computing. This study addresses a multi-objective problem wherein the goal to maximize interpretability percentage renewable energy consumed by meta-scheduler system in scenarios. To accomplish this objective, present research proposes novel approach utilizing Knowledge Acquisition with Swarm Intelligence Approach algorithm. Additionally, it takes advantage framework built on CloudSim, which includes virtual machine capabilities based expert system. Furthermore, hierarchical employed assess rule base interpretability, along another algorithm, named Non-dominated Sorting Genetic Algorithm II. are perform various simulation results concerning while algorithms aim enhance system’s interpretability. Empirical demonstrate possible improve improving corresponding rule-based proposed algorithm shows comparable or superior genetic across diverse indicate improvements center can be achieved average improvement index ranges from 0.6 6%, increase utilization ranging 5 6%.

Language: Английский

Citations

1
A succinct state-of-the-art survey on green cloud computing: Challenges, strategies, and future directions DOI

Dipto Biswas,

Sohely Jahan, Sajeeb Saha

et al.

Sustainable Computing Informatics and Systems, Journal Year: 2024, Volume and Issue: 44, P. 101036 - 101036

Published: Sept. 10, 2024

Language: Английский

Citations

1
Fog Assisted Tiger Alarming Framework for Saving Endangered Wild Life DOI
Manash Kumar Mondal, Riman Mandal, Sourav Banerjee

et al.

SoutheastCon, Journal Year: 2023, Volume and Issue: unknown, P. 798 - 803

Published: April 1, 2023

Real-time monitoring is necessary for saving endangered wildlife. The camera-trapping technology used to monitor wild animals like tigers, lions, bears etc. in forests. Due changes the forest echo system and expansion of human civilization near forest, tigers often enter villages. As a consequence, Tiger-Human conflict occurs more frequently. Typically, cloud computing technologies are storing processing image data generated from trap cameras. A wildlife time-sensitive application, decision-making using relatively slow. Timeliness quick response essential these types applications. Highlighting this issue, article focuses on design development fog-assisted tiger alarming framework that detects corridor. application also delivers systematic alerts villagers. Therefore, between humans will reduce. For comparison, we have deployed same model environment. proposed simulated iFogSim simulator. outcome exhibits fog-based successfully reduces latency network usage compared traditional cloud-based model. comparative analysis indicates significant improvement execution time over system.

Language: Английский

Citations

3
An efficient energy-aware and service quality improvement strategy applied in cloud computing DOI
Jinjiang Wang, Junyang Yu, Yixin Song

et al.

Cluster Computing, Journal Year: 2022, Volume and Issue: 26(6), P. 4031 - 4049

Published: Nov. 19, 2022

Language: Английский

Citations

5
PbV mSp: A priority-based VM selection policy for VM consolidation in green cloud computing DOI
Riman Mandal, Manash Kumar Mondal, Sourav Banerjee

et al.

Published: Dec. 7, 2022

Cloud computing forms the backbone of era automation and Internet Things (IoT). It offers storage-based services on consumption-based pricing. Large-scale datacenters are used to provide these service consumes enormous electricity. Datacenters contribute a large portion carbon footprint in environment. Through virtual machine (VM) consolidation, datacenter energy consumption can be reduced via efficient resource management. VM selection policy is choose that needs migration. In this research, we have proposed PbV mSp: A priority-based for consolidation. The mSp implemented cloudsim evaluated compared with well-known policies like gpa, gpammt, mimt, mums, mxu. results show has outperformed exisitng terms other metrics.

Language: Английский

Citations

4
Big IoT Data Analytics in Fog Computing DOI
Manash Kumar Mondal, Riman Mandal, Utpal Biswas

et al.

Published: June 4, 2024

IoT data analysis is a significant role in economic growth, social development and people's life. So, the combination of artificial intelligence, machine learning big data. Fog computing way bringing to market growing amounts gathered for Internet-of-Things (IoT) devices. It works by pooling computational power from multiple nodes connected through cloud, each node being able support requests generated its sensors. The more devices you add network, powerful it becomes, but has limits terms memory processing speed. In this chapter, we have discussed new model combining these technical methods strong function effective analytics IoT-generated fog environments. This chapter highlights brief introduction computing, generation data, sources how used analyze also covers regions choosing over cloud. Additionally, characteristics various applications engine node.

Language: Английский

Citations

0