Optimal Round Robin CPU Scheduling Algorithm Using Manhattan Distance

Srilatha, N.; Sravani, M.; Divya, Y.

doi:10.11591/ijece.v7i6.pp3664-3668

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…Upon receiving a new request, the Data Centre Controller (DCC) searches for the least loaded or idle VM in the VM index table. This approach uses the first-come, first-served principle to distribute the load to the VM with the lowest index number when there have multiple servers [17].…”

Section: The Active Monitoring Load Balancer (Amlb) Algorithmmentioning

confidence: 99%

Dynamic Load Balancing in Cloud Computing: A Review and a Novel Approach

Laha,

Pattnaik,

Chaudhury

2024

EAI Endorsed Trans IoT

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In cloud computing, load balancing is essential since it guarantees effective resource utilisation and reduces response times. It effectively distributes incoming workload across available servers. Load balancing involves dividing tasks among multiple systems or resources over the internet. By distributing traffic and workloads, load balancing ensures that no server or computer is overloaded, underutilized, or idle in a cloud computing environment. To enhance overall performance in the cloud, it optimises a number of variables, including execution time, response time, and system stability. To increase the effectiveness and reliability of cloud services, load balancing evenly distributes traffic, workloads, and computing resources across the environment. The proposed method, Enhanced Dynamic Load Balancing for Cloud Computing, adjusts load distribution and maintains a balanced system by considering variables like server capacity, workload distribution, and system load. By incorporating these factors and employing adaptive threshold adjustment, this approach optimizes resource allocation and enhances system performance. Experimental research shows that the proposed new novel approach is more effective and efficient than current load balancing techniques. In this context of cloud computing, this ground-breaking method offers a workable substitute for dynamic load balancing.

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Section: The Active Monitoring Load Balancer (Amlb) Algorithmmentioning

confidence: 99%

Dynamic Load Balancing in Cloud Computing: A Review and a Novel Approach

Laha,

Pattnaik,

Chaudhury

2024

EAI Endorsed Trans IoT

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“…The old approach, to introduce studies on computer organizat ion and architecture, is proposed by Patterson and Hennessy [26]. It rev iewed the hard ware section to understand computer organizat ion and architecture, and used assembly language and scheduling [14], while the Learning Outco me for Co mputer Engineering programme demands how the undergraduate student can design the CPU so that the computer can run in accordance with its concept of architecture and organization.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Usually, there are many chapters in many COA's handbook [13]. There is also exists many simple architecture of of an 8-bit CPU architectures such as Mic-1, M ic-2, [14][15][16][17], SAP-1, SAP-2, etc [18][19][20]. They are based on the architecture of Von Neumann machine [21].…”

Section: Introductionmentioning

confidence: 99%

CPU implementation using only logisim simulator to achieve computer architecture learning outcome

Ichsan

Kurniawan

2020

Bulletin EEI

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This paper proposes the design, implementation, and evaluation of an 8-bit CPU architecture in computer organization and architecture (COA) course for Undergraduate Computer Engineering using only Logisim simulator. The main advantage of using one simulator is the elimination of inefficiency so that students can concentrate more on the course’s content without spending their time just to learn how to use each different type of simulators. To achieve that, a simple CPU architecture is pre-designed and be implemented in Logisim simulator. According to previous researches, Mic-1 CPU architecture is chosen because it is the simplest one and can be easily built using many simple logic gates already existed in the Logisim. To evaluate the desired outcome, students are separated into two different groups. Each group used different type of learning media and material and then their examination scores and satisfaction are compared to each other. Every student belongs to the group that only used Logisim simulator obtained higher score and more than 50% are satisfied with the new learning process and material. Thus, it envisaged that this method will made the delivering learning process in COA course be more efficient than what has happened so far.

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“…The RR algorithm's performance depends on the time quantum used. There have been many efforts to pick the best time quantum [6]. Due to low performance, realtime operating systems apart from RR scheduling are infrequently employed in these algorithms [7].…”

Section: Introductionmentioning

confidence: 99%

Cloud service analysis using round-robin algorithm for quality-of-service aware task placement for internet of things services

Pakhrudin

Kassim

Idris

2023

IJECE

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Round-robin (RR) is a process approach to sharing resources that requires each user to get a turn using them in an agreed order in cloud computing. It is suited for time-sharing systems since it automatically reduces the problem of priority inversion, which are low-priority tasks delayed. The time quantum is limited, and only a one-time quantum process is allowed in round-robin scheduling. The objective of this research is to improve the functionality of the current RR method for scheduling actions in the cloud by lowering the average waiting, turnaround, and response time. CloudAnalyst tool was used to enhance the RR technique by changing the parameter value in optimizing the high accuracy and low cost. The result presents the achieved overall min and max response times are 36.69 and 650.30 ms for running 300 min RR. The cost for the virtual machines (VMs) is identified from $0.5 to $3. The longer the time used, the higher the cost of the data transfer. This research is significant in improving communication and the quality of relationships within groups.

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Optimal Round Robin CPU Scheduling Algorithm Using Manhattan Distance

Cited by 9 publications

References 2 publications

Dynamic Load Balancing in Cloud Computing: A Review and a Novel Approach

Dynamic Load Balancing in Cloud Computing: A Review and a Novel Approach

CPU implementation using only logisim simulator to achieve computer architecture learning outcome

Cloud service analysis using round-robin algorithm for quality-of-service aware task placement for internet of things services

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