Algorithmic approach to deadlock detection for resource allocation in heterogeneous platforms

Cuong, Nguyen Huu; Le, Van Son; Nguyen, Thanh Thuy

doi:10.1109/smartcomp.2014.7043845

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…That provides each system's most recent security-related information or product. Using this knowledge model, which is referred to as a system security rating and security specifications are given through the reconfiguration of system operators and cloud service providers for the network to meet each system's security requirements [13].…”

Section: Related Workmentioning

confidence: 99%

Security and risk analysis in the cloud with software defined networking architecture

Thatha¹,

Donepudi²,

Safali

et al. 2023

IJECE

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Cloud computing has emerged as the actual trend in business information technology service models, since it provides processing that is both cost-effective and scalable. Enterprise networks are adopting software-defined networking (SDN) for network management flexibility and lower operating costs. Information technology (IT) services for enterprises tend to use both technologies. Yet, the effects of cloud computing and software defined networking on business network security are unclear. This study addresses this crucial issue. In a business network that uses both technologies, we start by looking at security, namely distributed denial-of-service (DDoS) attack defensive methods. SDN technology may help organizations protect against DDoS assaults provided the defensive architecture is structured appropriately. To mitigate DDoS attacks, we offer a highly configurable network monitoring and flexible control framework. We present a dataset shift-resistant graphic model-based attack detection system for the new architecture. The simulation findings demonstrate that our architecture can efficiently meet the security concerns of the new network paradigm and that our attack detection system can report numerous threats using real-world network data.

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Section: Related Workmentioning

confidence: 99%

Security and risk analysis in the cloud with software defined networking architecture

Thatha¹,

Donepudi²,

Safali

et al. 2023

IJECE

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“…Cơ chế hợp lực sử dụng truyền multicast cho phép các máy chủ kết nối với nhau thông qua môi trường truyền thông truyền thông điệp qua lại nhằm xác định các tiến trình di chuyển trong hệ phân tán [3]. Trong quá trình hợp lực, nhiều tiến trình cùng tương tranh tài nguyên dùng chung dễ dẫn đến bế tắc trong cung cấp tài nguyên [6][7][8][9].…”

Section: Các Nghiên Cứu Liên Quanunclassified

Song song hóa thuật toán Lamport trong loại trừ tương hỗ phân tán

Vĩ¹,

Sơn²,

Huy³

2019

Chuyên san NC&PT CNTT-TT

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Hệ phân tán là hệ thống cung cấp tài nguyên dùng chung với quy mô lớn. Hệ phân tán sử dụng cơ chế truyền thông điệp để hợp lực trong môi trường truyền thông. Trong hợp lực, nhiều tiến trình cùng tương tranh tài nguyên dùng chung dễ dẫn đến bế tắc trong cung cấp tài nguyên. Loại trừ tương hỗ phân tán cho phép chỉ có một tiến trình duy nhất được thực thi trong miền găng tại một thời điểm đối với một tài nguyên để giải quyết bế tắc. Để đạt được loại trừ tương hỗ phân tán, các tiến trình phải được gắn dấu đồng hồ lô-gic để xác lập trật tự và loại trừ các tiến trình gây ra bế tắc. Bài báo trình bày giải pháp song song hóa thuật toán Lamport trong loại trừ tương hỗ phân tán. Kết quả giải pháp là xác lập giá trị đồng hồ lô-gic dựa trên song song hóa thuật toán Lamport và xác định các tiến trình thực thi trong đảm bảo tính nhất quán và gắn bó trong hệ phân tán.

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“…Testing techniques have improved the functionality of heterogeneous cloud computing solutions. The use of soft computing to automate and plan the tools with more efficiency on the cloud [5]. It focuses on investigating and implementing resource management and scheduling techniques in the cloud environment, where huge algorithms are used to raise the general effectiveness of the cloud environment.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence based Optimized Resource Allocation using Predictive Analysis in a Virtual Environment

Sahana

Dinesh

Deekshith³

et al. 2023

Preprint

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In a virtual environment, load balancing is the best method of assigning a collection of tasks through a range of resources, in order to make the total output more efficient. Load balancers not only improve efficiency but also ensure system stability. Resource allocation in a virtual environment in this article is accomplished by using Amazon Web Services (AWS) and machine learning techniques. Round Robin resource allocation algorithm is used by HAProxy to perform Load Balancing responsibilities. The virtual servers created through Amazon Elastic Compute Cloud (EC2), all have the same characteristics, such as load bearing capacity and reaction time. One of the EC2 instances created is configured to host the HAProxy. The load bearing potential of HAProxy is inversely proportional to the execution time, ensuring faster processing of the incoming requests. HAProxy, as the load balancer, optimizes resource allocation and provides flexibility in contrast to a standard application load balancer. The logs created by the instances help predict future load on the servers, by applying the ARIMA time-series forecasting model. A Mean Squared Error of 3.28 is obtained, justifying the accuracy of the prediction.

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Algorithmic approach to deadlock detection for resource allocation in heterogeneous platforms

Cited by 9 publications

References 12 publications

Security and risk analysis in the cloud with software defined networking architecture

Security and risk analysis in the cloud with software defined networking architecture

Song song hóa thuật toán Lamport trong loại trừ tương hỗ phân tán

Artificial Intelligence based Optimized Resource Allocation using Predictive Analysis in a Virtual Environment

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