This research explores the effectiveness of three electric vehicle (EV) charging models—Balance Load Sharing, First-Come, First-Served (FCFS), and Shortest Job First (SJF)—in managing electrical loads and preventing...
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ISBN:
(数字)9798350364316
ISBN:
(纸本)9798350364323
This research explores the effectiveness of three electric vehicle (EV) charging models—Balance Load Sharing, First-Come, First-Served (FCFS), and Shortest Job First (SJF)—in managing electrical loads and preventing transformer overloads within Thailand's distribution systems. This is achieved through collaboration between the Advanced Metering Infrastructure (AMI) smart meter and EV charger within the system. With the growing adoption of EVs, particularly during off-peak periods under Time-of-Use (TOU) tariffs, the study addresses the need for efficient load management to prevent system overloads. The Balance Load Sharing model, which dynamically adjusts charging power based on real-time load conditions, demonstrated superior efficiency by reducing overall charging times and eliminating queuing delays. In contrast, the FCFS and SJF models, while yielding similar overall charging times, showed significant differences in queue management. The FCFS model, which charges vehicles in their order of arrival, led to extended waiting times during peak periods. On the other hand, the SJF model, which prioritizes vehicles requiring shorter charging durations, effectively minimized queuing times, thereby enhancing overall system efficiency.
Cloud computing is an emerging IT field. In cloud, service providers managed and provided resources to users. Software or hardware can be used on rental basis; there is no need to buy them. Most of the cloud applicati...
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Cloud computing is an emerging IT field. In cloud, service providers managed and provided resources to users. Software or hardware can be used on rental basis; there is no need to buy them. Most of the cloud applications are modeled as a workflow. In workflows to complete the whole task applications require various sub-tasks to be executed in a particular fashion. Key role in cloud computing systems is managing different tasks. Workflow scheduling is the most important part of cloud computing, because based on the different criteria it decides cost, execution time and other performances. This review paper describes about cloud computing introduction, basics of workflows and scheduling, some scheduling algorithms used in workflow management, factors considered by these algorithms, type of algorithm and tool used.
scheduling algorithm is a hot research topic of real time system. The quality of real-time scheduling algorithm has a direct impact on real-time system's throughput capacity, response time, even on tasks' ...
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scheduling algorithm is a hot research topic of real time system. The quality of real-time scheduling algorithm has a direct impact on real-time system's throughput capacity, response time, even on tasks' scheduling result in required deadline. This paper discusses the features and performance of real-time system. According to system environment, real-time system can be divided into uniprocessor scheduling, centralized multiprocessor scheduling and distributed scheduling. Classic real-time scheduling algorithms RMS, EDF and LLF are discussed in uniprocessor systems. The scheduling thought and strategies are investigated in multiprocessor systems. Distributed real-time scheduling algorithms such as GRMS and DSr are analyzed briefly. Finally, it points out the future direction of real-time scheduling research.
The Delay Tolerant Networks (DTN) are networks where the end-to-end paths between source and destination are unstable or unlikely. In such networks, conventional path-discovery-based MANET routing techniques like AODV...
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ISBN:
(纸本)9781479936984
The Delay Tolerant Networks (DTN) are networks where the end-to-end paths between source and destination are unstable or unlikely. In such networks, conventional path-discovery-based MANET routing techniques like AODV and DSR are not possible because the network may not form a single connected partition at any time, and thus a full path may never exist between the source and the destination. In such cases a store and forward algorithm is required, where the data packets can be stored in the network and be delivered before its deadline is over. Backpressure is one such algorithm, which stores data packets in queues and tries to deliver data packets to their final destination by building up gradients. It has been proved that this algorithm works effectively during peak traffic period compared to other DTN algorithm such as epidermis, spray and wait, Maxprop, etc., This paper is brief study of backpressure algorithm from its origin to its developed versions at present. It also explains the methods that can improve the working of backpressure in high traffic as well as low traffic with reduced overloads at the nodes maintaining queues.
Starlink constellations are currently the largest LEO WAN and have seen considerable interest from the research community. In this paper, we use high-frequency and high-fidelity measurements to uncover evidence of hie...
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scheduling more than one user could increase system capacity of multi antenna systems. Present article reviews Multi User MIMO (MU-MIMO) communication from scheduling perspective, discussing performance gains in terms...
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scheduling more than one user could increase system capacity of multi antenna systems. Present article reviews Multi User MIMO (MU-MIMO) communication from scheduling perspective, discussing performance gains in terms of sumrate, fairness, and computational complexity. Several scheduling techniques reported for MU-MIMO based on different algorithms are reviewed, along with partial channel state information and full channel state information. Moreover, the selection procedure of first user in leakage based and interference based scheduling algorithms is analyzed. The results show that random selection of first user does not effect the performance and have relatively less computational complexity.
Earliest deadline first and Rate Monotonic are the two well-known scheduling algorithms to meet the deadlines for task in RTS. For single processor, these tasks work well but for more than one node, overloading in uti...
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Earliest deadline first and Rate Monotonic are the two well-known scheduling algorithms to meet the deadlines for task in RTS. For single processor, these tasks work well but for more than one node, overloading in utilization usually creates problem. Task migration and duplication are those two concepts that balance the load of distributed system due to which overloading problem has been resolved. This paper explains the processing of task migration with EDF-RM (simultaneously) scheduling algorithm by using Global scheduling.
With dramatically increasing demand for data usage in the LTE Heterogeneous Networks (HetNets), traffic offloading techniques have been used to balance the load among the network tiers in order to enhance the overall ...
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With dramatically increasing demand for data usage in the LTE Heterogeneous Networks (HetNets), traffic offloading techniques have been used to balance the load among the network tiers in order to enhance the overall system performance. The Cell Range Expansion (CRE) and Almost Blank Subframe (ABS) are the two major techniques under the enhanced Inter-Cell Interference Coordination (eICIC), which are aimed at increasing overall system performance while keeping low interference toward cell edge users. In general, a scheduling algorithm is also one major issue affecting the system efficiency. In this paper, different scheduling schemes, i.e. Round Robin (RR), Proportional Fairness (PF), Best-Channel Quality Identification (Best-CQI), Maximum Throughput (Max-TP) and Resource Fairness (RF), are investigated. The study focuses on the comparison of the system performance when operating with different schedulers as well as under different CRE and ABS parameters. The results are observed through the system level simulation in terms of average throughput, peak throughput, edge throughput, and fairness.
WiMAX promises an advanced framework to support Quality-of-Service (QoS) requirements of different types of applications and scheduling is a key part in its QoS provisioning. The scheduling algorithms used in this pap...
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ISBN:
(纸本)9781467309899
WiMAX promises an advanced framework to support Quality-of-Service (QoS) requirements of different types of applications and scheduling is a key part in its QoS provisioning. The scheduling algorithms used in this paper are based on our proposed Greedy-Latency scheduler, a modified form of Greedy algorithm which can guarantee delay requirements of real-time applications while optimising the system throughput. Our study of TCP performance in WiMAX shows that unlike UDP traffic, there are fluctuations in TCP throughput even for low traffic loads. It is seen that employing Automatic Repeat reQuest (ARQ) and setting the right TCP window size are crucial for a stable optimal TCP performance. WiMAX QoS mechanism can successfully maintain the inter-class priority between TCP traffic in Best Effort (BE) class and UDP in higher priority Real- Time Polling Service (rtPS) class. For intra-class scenarios, it is observed that TCP flows in general need a protection mechanism as the UDP traffic tend to seize the channel. The proposed Greedy-Scheduler can provide better intra-class protection for TCP flows due to its packet dropping policy.
Network navigation is a promising paradigm for providing accurate location-awareness in wireless environments, where mobile nodes estimate their locations based on inter- and intra-node measurements. In the presence o...
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ISBN:
(纸本)9781509013296
Network navigation is a promising paradigm for providing accurate location-awareness in wireless environments, where mobile nodes estimate their locations based on inter- and intra-node measurements. In the presence of limited wireless resources, only a subset rather than all of the node pairs can perform inter-node measurements. Therefore, it is crucial to design efficient scheduling algorithms for selecting node pairs at different times for inter-node measurements. This paper develops a framework for the design of scheduling algorithms based on random access for network navigation. The proposed algorithms are suitable for practical operation of wireless navigation networks due to their distributed nature, and the optimized access probabilities of the agents lead to significant performance improvement.
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