Resource discovery for distributed computing systems: A comprehensive survey

Zarrin, Javad; Aguiar, Rui L.; Barraca, João Paulo

doi:10.1016/j.jpdc.2017.11.010

Cited by 25 publications

(6 citation statements)

References 289 publications

(371 reference statements)

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“…RD finds resource that is able to answer the request of a process by observing the rights of gaining access to a resource. In papers [5,17], RD and how it operates are explained.…”

Section: Related Workmentioning

confidence: 99%

“…In the global activity state, there may be states in which a local operating system cannot answer the requests of a process (which is part of the global activity). In this case, RD will be called [5]. The task of this unit is to find a computing element that is capable of meeting the needs of computational process.…”

Section: Introductionmentioning

confidence: 99%

Challenges of Resource Discovery to Support Distributed Exascale Computing Environment

Adibi

Khaneghah

2018

AzJHPC

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The resource discovery management unit (RD) in distributed Exascale systems needs to be able to manage the occurrence of dynamic and interactive events in the requesting process when running activities related to RD. The occurrence of dynamic and interactive events in the requesting process causes some challenges in the execution trend of activities related to RD. The trend of execution activities related to RD will fail if there is no management and control on the occurrence of dynamic and interactive events. This paper first explores and describes the concept of dynamic and interactive nature in distributed Exascale systems. In addition, it attempts to show the influences of occurrence the dynamic and interactive events in the computing elements requesting the resource as well as on RD functionality. In addition, this paper aims at describing the challenges of RD to be used in distributed Exascale systems. To achieve this, changes need to be made in the generating space and RD functionality. Taking into account the solutions presented in this paper, RD has the potential to be used in distributed Exascale systems by remaining compatible with traditional computing systems.

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“…One of the basic services in distributed computing systems such as grid computing system is the resource discovery, which should be able to provide relevant resources for requests [37]. In the classification of distributed resource algorithms in grid systems, [38] one or set of controllers finds appropriate resources in the server client architecture.…”

Section: Resource Discoverymentioning

confidence: 99%

ExaMig Matrix: Process Migration based on Matrix Definition of Selecting Destination in Distributed Exascale Environments

Khaneghah

ShowkatAbad

Shadnoush³

et al. 2018

AZJHPC

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In traditional computing system, load balancer, interim selecting the process, determine the destination computing node based on describing Indicators process status. In distributed Exascale computing system, due to the possibility of occurrence of a dynamic and interactive nature in execution time, it is possible. That the chosen destination computing node affected with dynamic and interactive nature so cannot be considered as a destination in process migration. This paper, by changing management approach in process migration. Consider process as an abstract element on the target computing node and calculates the impact of the factors the parameters affecting the process. Considering the above factors make process migration manager able to create sets of computational node that can be considered as destination computing node. In the event of a dynamic and interactive nature, in each element of the set, the process migration management, consider the effects of the factors affecting the activity of the process management and then re-weighs the computing element which make the above set. Using this mechanism allow the process migration management in case of dynamic and interactive nature occurrence in destination able to decide about changing on global activity execution so it is not necessary to recall load balancer manager in order to choose destination computing node. These subject louds to decrease execution time of process migration activity in distributed Exascale computing system.

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“…The philosophy behind such systems in p2p is using distributed hash table which supports multi-attribute queries in several domains. Authors in [52] developed Distributed Source Discovery architecture to communicate with each other through p2p protocol [53][54][55]…”

Section: Introduction To Resource Detection In Iot and Big Datamentioning

confidence: 99%

Resource Management in a Peer to Peer Cloud Network for IoT

Javadpour

Wang

Rezaei

2020

Wireless Pers Commun

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“…Discovery service in grid is directly a ected by the diversity, dynamic, heterogeneity, and distribution features, which can notably increase the grid e ciency [2]. e classical approaches that are utilized for grid discovery are based on the centralized [3][4][5][6][7] or hierarchical [8,9] architectures. ese methods collect the grid resource information and use the central index server to sustain them.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Resource Discovery Technique in the P2P Grid Systems

Wang

Pourqasem

Edalatpanah

2020

Wireless Communications and Mobile Computing

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Distributed discovery service is a main concept in the scalable and dynamic grid environments. In this paper, based on the super-peer technique, we propose a new topology for the grid discovery service. The model is designed in such a way that each super-peer within the cluster has the routing indices (RIs) based on cobweb and uses the hop-count routing index (HRI) to select the best neighbor. Besides, each super-peer includes a cache table, which stores the query and the query results. Furthermore, from the point of view of the response time and the number of submitted messages, we compare the new model with an existing method. An illustrative simulation is also presented to show the efficiency and validation of the new technique.

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Resource discovery for distributed computing systems: A comprehensive survey

Cited by 25 publications

References 289 publications

Challenges of Resource Discovery to Support Distributed Exascale Computing Environment

ExaMig Matrix: Process Migration based on Matrix Definition of Selecting Destination in Distributed Exascale Environments

Resource Management in a Peer to Peer Cloud Network for IoT

Optimizing Resource Discovery Technique in the P2P Grid Systems

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