1,175,265 research outputs found
HySIM: A Hybrid Spectrum and Information Market for TV White Space Networks
We propose a hybrid spectrum and information market for a database-assisted
TV white space network, where the geo-location database serves as both a
spectrum market platform and an information market platform. We study the
inter- actions among the database operator, the spectrum licensee, and
unlicensed users systematically, using a three-layer hierarchical model. In
Layer I, the database and the licensee negotiate the commission fee that the
licensee pays for using the spectrum market platform. In Layer II, the database
and the licensee compete for selling information or channels to unlicensed
users. In Layer III, unlicensed users determine whether they should buy the
exclusive usage right of licensed channels from the licensee, or the
information regarding unlicensed channels from the database. Analyzing such a
three-layer model is challenging due to the co-existence of both positive and
negative network externalities in the information market. We characterize how
the network externalities affect the equilibrium behaviours of all parties
involved. Our numerical results show that the proposed hybrid market can
improve the network profit up to 87%, compared with a pure information market.
Meanwhile, the achieved network profit is very close to the coordinated
benchmark solution (the gap is less than 4% in our simulation).Comment: This manuscript serves as the online technical report of the article
published in IEEE International Conference on Computer Communications
(INFOCOM), 201
An Analysis and Enumeration of the Blockchain and Future Implications
The blockchain is a relatively new technology that has grown in interest and potential research since its inception. Blockchain technology is dominated by cryptocurrency in terms of usage. Research conducted in the past few years, however, reveals blockchain has the potential to revolutionize several different industries. The blockchain consists of three major technologies: a peer-to-peer network, a distributed database, and asymmetrically encrypted transactions. The peer-to-peer network enables a decentralized, consensus-based network structure where various nodes contribute to the overall network performance. A distributed database adds additional security and immutability to the network. The process of cryptographically securing individual transactions forms a core service of the blockchain and enables semi-anonymous user network presence
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AGM, a dataflow database machine
In recent years, a number of database machines consisting of large numbers of parallel processing elements have been proposed. Unfortunately, one of the main limitations to parallelism in database processing is the I/O bandwidth of the underlying storage devices. One way to solve this problem is to use multiple parallel disk units. The main problem with this approach, however, is the lack of a computational model capable of utilizing the potential of any significant number of such devices.This paper presents a database model which is based on the principles of data-driven computation. According to this model, the database is represented as a network in which each node is conceptually an independent processing element, capable of communicating with other nodes by exchanging messages along the network arcs. To answer a query, one or more such messages, called tokens, are created and injected into the network. These then propagate asynchronously through the network in the search of results satisfying the given query.To investigate the performance of the proposed system, we have implemented the model on a simulated computer architecture. The results of the simulation ex-periments indicate that the model is capable of exploiting the potential I/O band-width of a large number of disk units as well as the computational power of the associated processing elements
nalisis Transformasi Relational Database ke Graph Database pada Website Social Network (Studi Kasus: TagShout )
Relational Database
adalah
database
yang telah mendominasi dunia
penyimpanan dan pengambilan data sejak dikembangkan ol
eh Edgar Codd pada
tahun 1970[15
].
Relational Database
merupakan
penyimpanan data tabular
yang
bergantung pada skema yang kaku
.
Oleh karena itu,
relational d
atabase
semakin
sulit
bekerja
k
etika jumlah data dan jumlah
relationships
relatif banyak
atau
membutuhkan operasi
J
oin
yang sangat b
anyak
.Namun banyak aplikasi yang membutuhkan
relational database
sebagai
media penyimpanan dan pengambilan data.
Social Network
adalah salah satu
aplikasi yang membutuhkan
relational database
namun sangat sulit untuk
memodelkan
social network
ketika jaringan
relationship
sudah semakin kompleks
pada
relational database
.Salah satu solusi yang diusulkan adalah melakukan suatu transf
ormasi
database
dari
Relational Database
ke
Graph Database
.
Graph Database
adalah
salah satu metode dari
NoSQL
(
Not Only SQL
)
yang merupakan sistem
manajemen penyimpanan data yang berorientasikan
graph
dimana pemodelan
datanya dimodelkan dalam bentuk
graph
.Hasil pengujian menunjukan bahwa
nilai
response time
pada
Graph
Database
jauh lebih kecil jika dibandingkan dengan
nilai response time
pada
Relational Database
.
Ini menunjukkan bahwa model
social network
sangat cocok
menggunakan
Graph Database
sebagai me
dia penyimpanan dan pengambilan
data. R elational Database , Social Network , NoSQL , Graph Database
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