Resource sharing in a hybrid partitioned/global scheduling framework for multiprocessors

Afshar, Sara; Behnam, Moris; Bril, Reinder J.; Nolte, Thomas

doi:10.1109/etfa.2015.7301456

Cited by 4 publications

(6 citation statements)

References 27 publications

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“…So, the research about network resource sharing has always been a research hot spot. For example, the early sharing model of server resource has developed to the P2P (Peer to Peer) sharing model [1], [2] and the current cloud service model [3]. Meanwhile, with the rising of blockchain technology, the blockchain technology has also become a hot topic [4], whose relevant researches are being widely applied to various fields.…”

Section: Related Workmentioning

confidence: 99%

“…Meanwhile, with the rising of blockchain technology, the blockchain technology has also become a hot topic [4], whose relevant researches are being widely applied to various fields. Afshar et al [1] proposed a resourcesharing hybrid partition/global scheduling framework, which adds interest property to modify the rotation-based protocol and limits the blocking delay of tasks in the system. Chen et al [2] proposed a resource sharing control model based on P2P network, which describes how to support this model by using trust computing (TC) technique to ensure providing secure applications.…”

Section: Related Workmentioning

confidence: 99%

“…Currently blockchain technology has been widely researched [1]. Blockchains may be seen as public databases (or public accounts) without any center-services based on blockchain technology.…”

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confidence: 99%

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Autonomous Resource Request Transaction Framework Based on Blockchain in Social Network

Wang²,

Jia³

2019

IEEE Access

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Currently, blockchain technology has been widely researched and is being applied to many other fields, such as financial transactions, E-government, logistics, and supply-chain system. It can be used to store and maintain transaction data through the de-centralized model. In this paper, we propose an autonomous resource request transaction framework based on blockchain in a social network, in which all kinds of resources in the social community can be traded through blockchain technology. When a user needs to acquire some resources from a community, the user may make a transaction with the members from the community through blockchain technology while the members autonomously negotiate each other to reach an agreement. The proposed framework provides an incentive mechanism to encourage community members to disseminate the resources through a smart contract.INDEX TERMS Resource request, transaction, blockchain, social network, community. I. INTRODUCTION A. BACKGROUNDWith the rapid development of network technology, online social network is developing rapidly. It has become a part of people's social life instead of the real social way. For example, many users are using some social software or online social networking sites (such as Facebook, MySpace and QQ) to make friends or communications, and the number of users has grown into a very large number. Based on these social software or sites, a lot of social networking groups have been established. In these social communities, the members of these communities come together because of various hobbies, interests or needs, where the members may share various resources, such as movies, songs and pictures. Therefore, this non-supervised and free resource sharing method also brings some problems, such as copyright and personal privacy protection. Then it also produces the direct contradiction of copyright control and free sharing service for network digital resources in social network. Some digital resources without copyright restriction are rapidly disseminated beyond controlThe associate editor coordinating the review of this manuscript and approving it for publication was Chien-Ming Chen.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Autonomous Resource Request Transaction Framework Based on Blockchain in Social Network

Wang²,

Jia³

2019

IEEE Access

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“…"Helping" in wait-free algorithms does not rely on any support by the OS [102]; rather, it is realized exclusively with a processor's atomic operations (such as an atomic compare-and-swap instruction). 7 Hohmuth and Peter also describe a variant called remote helping where a blocked client migrates to the core assigned to the server [104], which however is not an attractive solution from an analytical point of view and thus not further considered here.…”

Section: Fully Preemptive Locking Protocols For Partitioned and Clust...mentioning

confidence: 99%

“…Finally, several authors have considered synchronization needs in hierarchical multiprocessor real-time systems (i.e., systems in which there is a hierarchy of schedulers) [6,7,9,31,120,152,153]. In such systems, tasks are typically encapsulated in processor reservations, resource servers, or, in the case of virtualization, virtual machines, and thus prone to preemptions in the middle of critical sections.…”

Section: Further Research Directionsmentioning

confidence: 99%

Multiprocessor Real-Time Locking Protocols: A Systematic Review

Brandenburg

2019

Preprint

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We systematically survey the literature on analytically sound multiprocessor real-time locking protocols from 1988 until 2018, covering the following topics:• progress mechanisms that prevent the lock-holder preemption problem (Section 3),• spin-lock protocols (Section 4),• binary semaphore protocols (Sections 5 and 6),• independence-preserving (or fully preemptive) locking protocols (Section 7),• reader-writer and k-exclusion synchronization (Section 8),• support for nested critical sections (Section 9), and • implementation and system-integration aspects (Section 10).A special focus is placed on the suspension-oblivious and suspension-aware analysis approaches for semaphore protocols, their respective notions of priority inversion, optimality criteria, lower bounds on maximum priority-inversion blocking, and matching asymptotically optimal locking protocols.

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Real‐time partitioned scheduling: Exploiting the inter‐resource affinity for task allocation on multiprocessors

Akram

Bai

et al. 2019

Concurrency and Computation

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Real-time edge computing is forging its place in cloud computing rapidly, and requirements for high-performance edge devices are becoming increasingly complex. Multiprocessor edge devices are an attractive choice to meet these higher performance requirements. However, multiprocessor devices encounter inherent challenges when handling on-chip shared resources. The concurrent access to these resources by the tasks requesting more than one shared resource and running on multiple processors may face huge blocking times, which can lead to missed hard real-time deadlines and cause a catastrophic system failure. To reduce the task blocking time, we propose a task allocation algorithm that takes advantage of inter-resource affinity and allocates all the tasks accessing multiple shared resources having inter-resource affinity on the same processor of the multiprocessor. The proposed algorithm reduces global resources and remote blocking, which subsequently increase schedulability of task sets and reduce the processor utilization. In our experiments, we compare the proposed task allocation algorithm SRTA with existing well-known task allocation strategies SPA, ROP, and blocking-agnostic FFD. The experimental results reveal that the SRTA, on the average, can allocate 1.80, 2.34, and 3.14 times more task sets as compared to ROP, SPA, and FFD, respectively and reduces the number of globally shared resources significantly.

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Resource sharing in a hybrid partitioned/global scheduling framework for multiprocessors

Cited by 4 publications

References 27 publications

Autonomous Resource Request Transaction Framework Based on Blockchain in Social Network

Autonomous Resource Request Transaction Framework Based on Blockchain in Social Network

Multiprocessor Real-Time Locking Protocols: A Systematic Review

Real‐time partitioned scheduling: Exploiting the inter‐resource affinity for task allocation on multiprocessors

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