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

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