Study of Scheduling for Processing Real-Time Communication Signals on Heterogeneous Clusters

Zhu, Xiaomin; Lu, Peizhong

doi:10.1109/i-span.2008.27

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…To improve their utilization and share their resources to outside user's real time distributed systems are becoming open systems that are frequently exposed to public networks. One example of these type of real time distributed systems are Clusters which have become increasingly popular as the powerful and costeffective platforms for executing computationally large or data-intensive applications (Zhu & Lu, 2008). Now days many Real-time parallel applications on distributed systems are emerging in many domains, including online transaction processing systems, medical electronics, aircraft control, and scientific parallel computing.…”

Section: Protection In Rtds: Security and Privacymentioning

confidence: 99%

Resource Management in Real Time Distributed System with Security Constraints

Tripathi

Yadav

Ranvijay

et al. 2011

International Journal of Distributed Systems and Technologies

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The world has become a global village. Today applications are developed which require sharing of resources dispersed geographically to fulfill the need of the users. In most cases applications turn out to be time bound thus leading to Real Time Distributed System (RTDS). Online Banking, Online Multimedia Applications, Real Time Databases, and Missile tracking systems are some examples of these types of applications. These applications face many challenges in the present scenario particularly in resource management, load balancing, security, and deadlock. The heterogeneous nature of the system exacerbates the challenges. This paper provides a widespread survey of research work reported in RTDS. This review has covered the work done in the field of resource management, load balancing, deadlock, and security. The challenges involved in tackling these issues is presented and future directions are discussed.

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Section: Protection In Rtds: Security and Privacymentioning

confidence: 99%

Resource Management in Real Time Distributed System with Security Constraints

Tripathi

Yadav

Ranvijay

et al. 2011

International Journal of Distributed Systems and Technologies

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“…For example, selective photograph processed while the earthquake was occurred for immediate damage assessment. In another case, while processing the signal [12], signal quality degradation is important in real-time response than energy conservation.…”

Section: Introductionmentioning

confidence: 99%

Modified Energy-Aware Rolling Horizon algorithm for scheduling of cloudlets

Rani¹,

Saroja²

2015

2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)

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Energy conservation through efficient energy utilization is important to minimize energy cost and thereby reduces energy demand. The existing systems support either system schedulability or energy conservation. If it priorities energy conversation, then there is a possibility of rejecting a task due to poor schedulability. In the existing system, some tasks are able to complete using minimum virtual machines. While doing so, other virtual machines will be in ideal mode; hence substantial energy is wasted for idle virtual machines while performing these tasks. Our proposed system named Modified Energy Aware Rolling Horizon ie. MEARH which schedules realtime tasks in the rolling horizon. MEARH algorithm mainly focuses on user's timing requirements by completing as many tasks as possible within the deadline without rejecting a single task by optimizing available resources. Energy conservation shall be achieved by consolidating ideal virtual machines and shall be switched to sleeper mode. Thus it improves the performance, scalability and availability of resources. MEARH's optimization policy integrates other energy aware algorithms. Comparison results with other scheduling algorithms show that MEARH significantly improves the scheduling quality of real-time tasks without rejecting a single task.

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“…For example, in cluster-based real-time signal processing systems, signal processing has some critical characteristics [5,6] . For example, in cluster-based real-time signal processing systems, signal processing has some critical characteristics [5,6] .…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Scheduling for Real-Time Tasks on Heterogeneous Clusters

Zhu

2009

J. Comput. Sci. Technol.

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Multiple performance requirements need to be guaranteed in some real-time applications such as multimedia data processing and real-time signal processing in addition to timing constraints. Unfortunately, most conventional scheduling algorithms only take one or two dimensions of them into account. Motivated by this fact, this paper investigates the problem of providing multiple performance guarantees including timeliness, QoS, throughput, QoS fairness and load balancing for a set of independent tasks by dynamic scheduling. We build a scheduler model that can be used for multi-dimensional scheduling. Based on the scheduler model, we propose a heuristic multi-dimensional scheduling strategy, MDSS, consisting of three steps. The first step can be of any existing real-time scheduling algorithm that determines to accept or reject a task. In step 2, we put forward a novel algorithm MQFQ to enhance the QoS levels of accepted tasks, and to make these tasks have fair QoS levels at the same time. Another new algorithm ITLB is proposed and used in step 3. The ITLB algorithm is capable of balancing load and improving throughput of the system. To evaluate the performance of MDSS, we perform extensive simulation experiments to compare MDSS strategy with MDSR strategy, DASAP and DALAP algorithms. Experimental results show that MDSS significantly outperforms MDSR, DASAP and DALAP.

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Study of Scheduling for Processing Real-Time Communication Signals on Heterogeneous Clusters

Cited by 9 publications

References 13 publications

Resource Management in Real Time Distributed System with Security Constraints

Resource Management in Real Time Distributed System with Security Constraints

Modified Energy-Aware Rolling Horizon algorithm for scheduling of cloudlets

Multi-Dimensional Scheduling for Real-Time Tasks on Heterogeneous Clusters

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