Flexible and efficient resource location in large-scale systems

Alveirinho, João; Paiva, J.P. Sucena; Leitão, João; Rodrigues, L.

doi:10.1145/1859184.1859199

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Finally, there is modern effort for resource location in clouds [16], which can be understand as a publish/subscribe scheme, although with moderately understandable differences. Here nodes query for a reserve with confident attributes and are forwarded to a measurement of the cloud that holds the resources with demanded properties.…”

Section: Figure-2 the Process Of Lb-bc Task Deploymentmentioning

confidence: 99%

An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering

Rajput¹,

Mishra²,

Jain³

2017

IJCA

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Load balancing is a technique of balancing the load on virtual machines for the number of requests coming from the Users to access resources over Data Centers. Here in this paper a new and effectual tactic for Load Balancing over computing is proposed using Modified Active Load Balancing by Ant based Clustering Algorithm. The Existing technique implemented for Load balancing on Cloud Simulators fails to provide efficient load balancing, hence a new approach is proposed where Clustering is done ant based gathering on the basis of Utilization of Virtual Machines. The Proposed methodology provides efficient Throughput and MakeSpan time.

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Section: Figure-2 the Process Of Lb-bc Task Deploymentmentioning

confidence: 99%

An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering

Rajput¹,

Mishra²,

Jain³

2017

IJCA

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“…Finally, there is modern effort for resource location in clouds [14], which can be understand as a publish/subscribe scheme, although with moderately understandable differences. In [14], nodes query for a reserve with confident attributes and are forwarded to a measurement of the cloud that holds the resources with demanded properties.…”

Section: Figure 3: the Process Of Lb-bc Task Deploymentmentioning

confidence: 99%

“…In [14], nodes query for a reserve with confident attributes and are forwarded to a measurement of the cloud that holds the resources with demanded properties. This effort also uses a peer example repair to build an arrangement and an unstructured superimpose.…”

Section: Figure 3: the Process Of Lb-bc Task Deploymentmentioning

confidence: 99%

Modified Active Monitoring Ant Clustering based Load Balancing over Public Clouds

Raghuwanshi¹,

Nigoti²

2017

IJCA

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“…This functionality allows to implement store/lookup operations of key/value data pairs in a distributed and scalable manner. On top of this basic functionality it is possible to build several types of large-scale distributed applications and services, such as resource-location [5], publish subscribe [6], multicast [7], distributed storage [8], among others [9,10]. As in any other system, in DHTs nodes can voluntarily join, leave, or simply fail.…”

Section: Introductionmentioning

confidence: 99%

Rollerchain: A DHT for Efficient Replication

Paiva

Leitão

Rodrigues

2013

2013 IEEE 12th International Symposium on Network Computing and Applications

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In this paper we present Rollerchain, a novel Distributed Hash Table that o↵ers e cient data storage through the combination of gossip-based and structured overlay networks. The unstructured component maintains clusters of fully connected nodes, where each cluster acts as a virtual node in the structured component. This architecture simplifies the management of data replication and balances the load among nodes in the system. We have implemented a prototype of Rollerchain that we have used to experimentally validate its performance against other state of the art solutions.. Rollerchain: a DHT for E cient ReplicationJoão Paiva, João Leitão and Luís Rodrigues joao.paiva@ist.utl.pt, jc.leitao@fct.unl.pt, ler@ist.utl.pt INESC-ID, Instituto Superior Técnico, Universidade Técnica de LisboaAbstract. In this paper we present Rollerchain, a novel Distributed Hash Table that o↵ers e cient data storage through the combination of gossip-based and structured overlay networks. The unstructured component maintains clusters of fully connected nodes, where each cluster acts as a virtual node in the structured component. This architecture simplifies the management of data replication and balances the load among nodes in the system. We have implemented a prototype of Rollerchain that we have used to experimentally validate its performance against other state of the art solutions.

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Flexible and efficient resource location in large-scale systems

Cited by 5 publications

References 14 publications

An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering

An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering

Modified Active Monitoring Ant Clustering based Load Balancing over Public Clouds

Rollerchain: A DHT for Efficient Replication

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