Automatic grid assembly by promoting collaboration in peer-to-peer grids

Andrade, Nazareno; Brasileiro, Francisco; Cirne, Walfredo; Mowbray, Miranda

doi:10.1016/j.jpdc.2007.04.011

Cited by 49 publications

(38 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These features are common with the P2P grid mentioned below. [27] combines the features of P2P and grid, with in-and-out flexibility and fast search mechanisms. The resources of the system are characterized by the collaborator peers, including clients and/or servers, in a more scalable system than traditional grid computing.…”

Section: Grid Computingmentioning

confidence: 99%

Survey of Cloud-Based Content Sharing Research: Taxonomy of System Models and Case Examples

Sugawara

2017

IEICE Trans. Commun.

View full text Add to dashboard Cite

SUMMARY This paper illustrates various content sharing systems that take advantage of cloud's storage and computational resources as well as their supporting conventional technologies. First, basic technology concepts supporting cloud-based systems from a client-server to cloud computing as well as their relationships and functional linkages are shown. Second, the taxonomy of cloud-based system models from the aspect of multiple clouds' interoperability is explained. Interoperability can be categorized into provider-centric and client-centric scenarios. Each can be further divided into federated clouds, hybrid clouds, multi-clouds and aggregated service by broker. Third, practical cloud-based systems related to contents sharing are reported and their characteristics are discussed. Finally, future direction of cloud-based content sharing is suggested. key words : content sharing, client-server, shared storage, peer-to-peer, grid computing, cloud computing, object storage, interoperability, federated cloud, hybrid cloud, multi-cloud, aggregated service by broker, provider centric, client centric IntroductionDue to rapid advances of computers, communication devices, and communication networks, diverse and vast amounts of digital contents are exchanged over the Internet, enabling numerous users to enjoy the benefits of technology. To realize smooth and stress-free content provisioning, searching and retrieving, numerous content sharing systems and supporting technologies have been developed and implemented. Currently, cloud computing systems for content sharing, such as exchanging text messages, documents, photos, voice, music, and videos, are important in our daily life, and many interesting systems have been implemented over the Internet.According to an Internet traffic forecast issued by Cisco [1], global IP traffic in 2015 stands at 72.5 exabytes (EB) per month and will nearly triple by 2020, to reach 194.4 EB per month. On the other hand, the percentage of Content Delivery Network (CDN) traffic in global IP traffic is expected to grow rapidly. CDN traffic in 2015 stands at 23.9 EB per month which is about one third of global IP, will grow to 104.0 EB which is more than half of global IP. Cloud-based content sharing plays a major role of CDN, and its importance must be getting larger and larger in the next decade. However, the concept of cloud computing is rather vague even now, and its definition is partially controversial. Then, it is sometimes difficult even for the researchers in the computer and communications fields to truly understand the natures of numerous cloud-based content sharing systems working over the Internet. Thus we would like this survey to be some help for the researchers to organize their ideas or concepts on cloud-based content sharing systems.The rest of this paper is organized into four sections. In Sect. 2, some basic technology concepts supporting cloudbased systems from client-server to cloud computing, including their relationships and functional linkages, are shown. Section 3 int...

show abstract

Section: Grid Computingmentioning

confidence: 99%

Survey of Cloud-Based Content Sharing Research: Taxonomy of System Models and Case Examples

Sugawara

2017

IEICE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…Experience with P2P systems shows that, in the absence of incentives for donation, a large proportion of peers consumes the resources of the system without contributing to the community [2]. Free-riding is a concern because it decreases the utility of the resource-sharing system, leading, eventually, to the collapse of the system.…”

Section: Network Of Favorsmentioning

confidence: 99%

“…This is necessary to prevent white-wash attacks, by which a free rider leaves the system and soon rejoins it with a different identification [2].…”

Section: Network Of Favorsmentioning

confidence: 99%

“…However, in addition to markets, economic production can be organized through various forms of sharing. In particular, reciprocation-based mechanisms have also been advocated as a viable alternative for the scheduling of resources in P2P systems [2], [3], [4]. The latter is particularly interesting for systems in which a high transactional cost cannot be accommodated.…”

Section: Introductionmentioning

confidence: 99%

“…Andrade et al have proposed an interesting reciprocationbased resource scheduling mechanism for P2P computational grids, called the Network of Favors (NoF) [2]. The idea is that in a P2P computational grid, peers offer their idle processing power to other peers that have demand for them.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using heuristics to improve service portfolio selection in P2P grids

Coêlho

Brasileiro

Maciel

2009

2009 IFIP/IEEE International Symposium on Integrated Network Management

Self Cite

View full text Add to dashboard Cite

Abstract-In this paper we consider a peer-to-peer grid system which provides multiple services to its users. An incentive mechanism promotes collaboration among peers. It has been shown that the use of a reciprocation-based incentive mechanism in such a system prevents free-riding and, at the same time, promotes the clustering of peers that have mutually profitable interactions. On the other hand, an issue that has not been sufficiently studied in this context is that of service portfolio selection. Normally, peers are subject to resource limitations, which force them to provide only a subset of all services that can be possibly provided. Clearly, the subset of selected services impacts the profit that the grid yields to the peers, since each service will have a different cost and will return a different utility. Moreover, the utility generated by a service is strongly influenced by the behavior of the other peers, which in turn may change over time. In this paper we explore the use of heuristics to select the portfolio of services to be offered by peers in such a grid. The main contributions of this work are the use of heuristics to improve the average profit of peers and a study on the impact of some system characteristics on the heuristics behavior.

show abstract