P2P and grid computing: opportunity for building next generation wireless multimedia digital library
© Arulanandam et al; licensee Springer. 2012
Received: 3 February 2012
Accepted: 10 May 2012
Published: 10 May 2012
Nowadays digital libraries have become the source of information, sharing across the globe in the fields of education, research and knowledge. The full usage of digital libraries will be realized only when people can have access to the material from any location. The advantage of multimedia is that people of all ages can understand more clearly by seeing or hearing rather than reading. Considering the exponential growth in various technologies, developing a multimedia digital library in wireless is not an complicated task. Grid computing enables the virtualization data resources, process network bandwidth and storage capacities to create a single system image granting the user a seamless access to vast IT capabilities. By adopting peer-to-peer overlay networks, which are taking a central position in information systems, the storage space problem can be solved and by using grid computing the security can be maintained. In this article, we propose a framework for wireless multimedia digital library, built using Grid and P2P technology. Using this proposed framework, the digital data is stored in a cluster built of commodity components and users can access those data from anywhere, anytime securely. Advantages of this framework are: (i) existing capital investments are used for storing the multimedia files, (ii) increased access to data, (iii) balancing workloads among different systems connected in pGrid nodes, (iv) authenticated and secured transfer of files. Benchmarks used to test this framework are: (i) file size vs. download time, (ii) simultaneous connections, (iii) band-width utilization, (iv) security, (v) scalability, and (vi) robustness.
In today's, academic libraries, learning resources are found in the form of audio's and video's, which forms a significant collection. The upcoming trends of collecting and maintaining strategies for library profession has been replaced the traditional methods. The traditional methods are no longer acceptable and there is a strong demand for newer forms of services. Therefore libraries which are unfamiliar, are now forced to be friendly and make them familiarized with all relevant and current popular multimedia formats. Inter-active and multimedia learning resources are one of the most rapidly changing and exciting areas of education today. The recent entrants are computer-based training (CBTs) materials/Web-based training (WBTs) materials, especially interactive multimedia programs that run on personal computers. These new technologies offer students, teachers and researchers to access the materials which was not done before.
Multimedia can deliver large amounts of information in many ways. It is manageable, approachable, and useful. The integration of multimedia programmes into libraries and classrooms promise not only to change the kinds of information available for learning, but also the way in which the learning takes place. Multimedia data is a non-textual knowledge resource, has problems in rendering service to the users and also with its sole dependency on a host of gadgets. The current environment is in need of the latest digital technologies for building wireless multimedia digital libraries .
Today's information services offer lots of power and visibility to the libraries. It helps the user community without compromising on their quality and performance too. Developments in media related technologies like format migrations and resource intensive maintenance has added complexity and complications in building effective wireless digital library.
A peer to peer (P2P) computer network uses diverse connection between participants in a network and the cumulative bandwidth of network participants. P2P networks are typically used for connecting large nodes via ad-hoc connections and such networks are useful for many purposes. A pure P2P network does not have the notion of clients or servers. It has only equal peer nodes that simultaneously function as both "clients" and "servers" to the other nodes on the network. This model of network arrangement differs from the client-server model, where communication is usually to and from a central server. Grid computing [2, 3] is a collection of distributed resources that are shared among the group of users. It schedules and coordinates resources to offer a diverse collection of services over a network of connected devices. It has its focus on both in research for institutions and in industries.
Grid researchers are also looking at P2P architecture for data storage, where a number of experimental systems are proposed and being developed . The need for massive data storage is not a recent problem and with the use of large information it has become more relevant for institutions. Like the large organizations, the institutions also where they have to maintain a large number of multimedia data files. As a result, valuable expertise has been built, resulting in the actual initiative for building the digital library using P2P and Grid Computing.
The proposed system serves for three main purposes. The first and foremost purpose is by using the latest technology for building an architecture which addresses the specific problem of massive storage for the large collection of digital and digitized items. The second purpose is to resemble not only as a traditional library, but also to make use of available storage space and resources that can be reserved for it. The third purpose is to ease the accessibility of multimedia data from anywhere. The proposed system uses an interface for operations like browsing, searching, sharing and also with the traditional library services. The main services that this system is expected to assure are the storage, search, fast retrieval, and preservation of digital resources in wireless and in a secured manner.
Rest of the articles is divided into 7 sections. Section 2 highlights some works related to digital library. Section 3 depicts the proposed system for digital library. Section 4 briefs the design details. Section 5 explains the components available in it. Section 6 reveals the experimental results done and Section 7 concludes the article.
2 Related work
Traditionally, libraries have been the most important source of knowledge for people. Therefore the managers of libraries have constantly been seeking every way to promote their services. As internet rises and knowledge explodes, the concept of digital libraries has been extensively accepted and a lot of work has been devoted to this field [5–7]. This section reviews some of the work done in the field of digital library using technologies such as P2P and Grid computing.
2.1 Digital libraries using P2P
Design of digital libraries using P2P paradigm is a unique feature. Here collaborative searches can be done among the peers in decentralized manner. Shortcoming of centralized search engines are: (i) democratic community search, (ii) implicit user feedback, (iii) lack of user recommendations, (iv) no replication, (v) caching and proactive dissemination, (vi) overlap aware query routing is not supported, (vii) less cost optimization.
To overcome the above said shortcomings in centralized search engines and to support collaborative search, Chord-style peer-to-peer overlay network  is designed. It connects an apriori unlimited number of peers. Each peer posts a small amount of metadata to a conceptually global, but physically distributed directory. This directory is used to select efficient peers to execute a query based on their local data.
Recent research on P2P systems, such as Chord , CAN , Pastry , or P-Grid , are based on various forms of distributed hash tables (DHTs) and supports mappings from keys in a decentralized manner, such that routing, scales well with the number of peers in the system.
PlanetP  is "publish" and "subscribe" service for P2P communities. It is the first system which supports content ranking search. PlanetP distinguishes local indexes and a global index which describes all peers and their shared information. The global index is replicated using a gossiping algorithm. The system, however, is limited to a few thousand peers.
Odissea  assumes two-layered search engine architecture with a global index structure distributed over the nodes in the system. A single node holds the entire index for a particular text term (i.e., keyword or word stem). Query execution uses a distributed version of Fagin's threshold algorithm . The system appears to cause high network traffic when posting document metadata into the network and the query execution method, presented currently seems limited to queries with one or two keywords only.
In  collaborative search, a large number of digital libraries and query routing strategies in a peer-to-peer (P2P) environment is addressed. Both digital libraries and users are equally viewed as peers and thus, as part of the P2P network. This system provides a versatile platform for a scalable search engine combining local index structures of autonomous peers with a global directory based on a distributed hash table (DHT) as an overlay network.
P2P information retrieval framework  is a framework designed for distributed search application. A digital library is deployed using P2P and searches for an article or book, based on a search key, which is assigned by the peer node when he/she shares it. This framework consists of peer nodes agrees to share their resources by joining the network. While joining the network, these nodes construct the active peer list. The files are distributed over the P2P network based on the keywords. The searching request could be initialized in anyone of the peers in the peer to peer network. This search request is propagated in an incremental fashion across the nodes with the aim of finding the best node in the incremental fashion. The results obtained from each keyword are aggregated and the final result is listed in the node, which initiated the search procedure.
Summary of digital libraries developed using P2P
Balakrishnan et al.
2. Unlimited Pers
Metadata stored in Centralized manner
Nguyen et al.
1. Publish & subscribe model,
2. Supports content search
Shanmugasunderam et al.
1. Two layered search Engine architecture
2. Uses Fagin's algorithm for query search
1. High network traffic,
2. Query is limited to one or two words
Shian-Shyong Tseng et al.
Collaborates two of more library resources
Data mining concepts makes the system understanding harder
Renuga and Sudhasadasivam
Search is based on keywords
Search time is increased due to incremental search fashion search fashion
2.2 Digital libraries using grid computing
Nowadays, data is increasing rapidly. The growing size of digital libraries and integration of digital libraries, there are also various challenges in this filed. Some of them are: (i) resource discovery, (ii) standardization of interfaces, (iii) digital library administration, (iv) copyright and licensing, and (v) cost optimization.
Access to global literature, books, and articles require efficient data management and querying techniques. The requirements for building a digital library are: (i) very large storage resources, (ii) complex queries, (iii) interoperability, and (iv) scalability across global environment. The Integration of grid, data grid and digital library solves various issues related to the upcoming globalization of digital libraries. In , Joshi and Jakharia propose a Grid based digital library concept and examine the synergies between these data management systems, which would help in future evolution of digital libraries.
In this 21st century, accumulating knowledge has increased to a tremendous size. Accessing books on every fields are continually increasing in large quantities. In , Yani and Ho use the advancements available in Internet and information technology to build a new knowledge transfer model using digital contents, such as books, literatures and data. For this, author's proposed a Global Digital Library Grid concept. This digital library organization not only include new members (new libraries or new museums) flexibility, it also not affect the system and framework of the original Grid member. As the organization grows, it will form an enormous Virtual Grid Digital Library to provide readers with speedy Knowledge Service that will meet their individual requirements.
Summary of digital libraries developed using Grid Computing
Han Fei et al.
1. Developed for national Library of Portugal
2. Beowulf cluster concept is used
Grid digital library organization (DLO)
Chao-Tung Yani et al.
Instead of VO and DLO is created
Problem persists when more DLO's created
Hardik Joshi et al.
Examines the concept of using Grid in DL
Theoretical explanation, Implementation NA
3 Proposed architecture
The high level interface (layer 5) interacts with lower abstractions (layer 4), throughout the process. Layer 5 describes the responsibilities by providing graphical interfaces for a pGrid node formation, data storing, browsing and downloading by and for the users. Layer 4 contains the building blocks of the proposed system and also it has digital library access interface (DLAI), Integrated System Management (ISM), data retrieve management (DRM) and pGrid node management (PNM). Layer 3 describes the interaction done by the grid middleware interfaces with proposed system components (Layer 4) for downloading the multimedia files, i.e., transport and data storage. Layer 2 uses P2P middleware which collects, connects and maintains all pGrid nodes in the network. Layer 1 form the network communication for heterogeneous peers or nodes.
3.1 P2P layer
The proposed system uses P2P and makes use of P2P middleware called Juxtapose or JXTA. JXTA technology  is a network programming and computing platform, designed to solve a number of problems in modern distributed computing, especially in peer-to-peer computing (P2P). JXTA defines a common set of protocols for building P2P applications and discusses the recurrent problem with existing P2P systems of creating incompatible protocols.
It is an open network computing platform. It provides the building blocks and services required to enable anything and anywhere application connectivity. JXTA's building blocks help in building applications in client-server or web-based computing or in distributed computing models. JXTA has a common set of open protocols backed with open source reference implementations for developing peer-to-peer applications. The JXTA protocols standardized in the manner, in which peers can do the following activities, i) discover each other, ii) self-organize into peer groups, iii) advertise and discover network resources, iv)communicate with each other and v) monitor. Addition to this, it consists of six protocols that support core P2P operations, such as peer discovery, organization, identification and messaging. It is also independent from the programming language, operating system, network topology and underlying communication protocol. The JXTA protocol implementations have tolerated a series of changes aimed at improving their performance, scalability, and reliability. JXTA has following advantages: i) interoperability, ii) platform independence and iii) ubiquity. It empowers end points (peers) by providing a unique addressing scheme (ID). Using this unique IDs peers can migrate across physical networks, changing transports and network address, even when they are temporarily disconnected and can be addressable by other end points .
3.2 Grid middleware layer
Resource management The resource management provides support for, i) resource allocation, ii) submitting jobs for executing jobs remotely and receiving results, and iii) managing job status and progress.
Information services The information services provides support for collecting information in the grid and for querying this information, based on the Lightweight Directory Access Protocol (LDAP).
Data management The data management provides support to transfer files among machines in the grid and managing the transfers in secured manner.
The design of the toolkit itself is very modular and has been developed in a way to make alterations and improvements easier with less impact on connected components. The toolkit is written in the C programming language and the source is available for download. It is designed to work on a number of platforms, predominantly that of Linux but with limited support for Microsoft. So far Globus has been a lead contender in the development of grid computing and is currently the only major e ort with open source availability. The Toolkit itself is designed to work in research environments, pre-dominantly as an impetus to be redesigned and improved.
3.3 UDT protocol
Application exchanges its data through UDT socket, which then uses UDP socket to send or receive the data. Memory copy is bypassed between UDT socket and UDP socket, in order to reduce processing time. Application can also provide a customized control system (CC).
3.4 Proposed framework components
The proposed framework components are divided into four layers, DLAI, ISM, DRM, and pGrid node monitorization (PNM). Various operations come under these layers which are carried out by the users. In each of these layers, there exist sub layers according to the type of tasks allowed to the users.
3.4.1 Digital library access interface (DLAI)
The proposed system can be abstracted into different levels from several viewing angles. First, the whole concept of wireless digital library can be broken down into peer grid nodes and multimedia data. Secondly, actions can be from groups and users. It can be further divided into basic operations and final operations, which forms objects in different abstraction levels of the system. This interface can be accessed by both the system administrator and other users. It has several operations on digital data such as, store, browse, copy, and retrieve.
3.4.2 Integrated system management (ISM)
The ISM operation contains sub layers, such as Node Configuration and User Operations. The system administrator is responsible for performing these tasks, concerning "pGrid Nodes" and "Users".
The node configuration sub-layer is where the pGrid node configurations are done. Nodes configurations are taken care by P2P middleware JXTA, which does the job of discovering peers and their neighbors. Each peer is an authenticated peer. When the user executes the system, the peer will be added and shown in the other peer list.
In the User Operations, the user can do operations related to the system users. The User Operations are i) share and ii) retrieve.
3.4.3 Data retrieve management (DRM)
DRM incorporates data grid architecture which integrates data storage devices and data management services. Various Grid middleware are available to implement Grid environment, such as Globus, Legion, and Unicore etc. Since globus is widely used and portable on open source systems, Globus Toolkit is adopted in our system. It provides solutions such as security, resource management, data management and information service. The storage system is a basic data grid component and supports various file systems . Data access service is a mechanism for accessing, managing and transferring data in the storage system . Resource Management is a part in the data grid architecture which is responsible for storage system, net-works and other data grid resources. It assures end-to-end efficiency, technical assessment of the efficiency test, as well as crucial resources. Grid Security Infrastructure provides environment authorization and certification mechanism to a large number of users.
3.4.4 pGrid node monitorization (PNM)
The monitorization is done over a pGrid node. It is a useful layer which analyzes node performance and its behaviors along with the time to set up the alarms to the administrator. The main goal is to prevent system failures by warning the administrator and to provide information to the users regarding non-availability of node. It presents information about the actual state of the peers.
4 Design Details
The framework provides the user with an interface to access the digital library from anywhere. When the user wants to access the digital library, the following steps are to be followed: i) first step, the user related data interface. It checks whether the user is an authenticated person or not, ii) second step, the user is asked to enter the key (generated by the system) and sets a username and password for his pGrid node, iii) third step is the function call control interface. This interface does the job of finding the entire neighbor pGrid nodes and lists it in the user screen. The pGrid nodes are the basic components of storing data and also the basic units of resource discovering entity.
Step 1. User A starts his system and logins
Step 2. After login, User A sends a broadcast message to establish his presence
Step 3. Server monitors the User A, receives his ID and stores it.
Step 4. User A shares a file and sends the File ID [Key] to the sever
Step 5. Server updates the details
Step 6. User B starts his system and logins
Step 7. After login, User B sends a broadcast message to establish his presence
Step 8. Server monitors the User B, receives his ID and stores it.
Step 9. User B searches for a file
Step 10. Server gets the search string and searches for the file in all Nodes details
Step 11. Finds the string in Node A (User A)
Step 12. Sends the User A ID to User B
Note: If the file is shared by more than one User then Server will send all the ID to the User B.
Step 13. User B selects the User A ID and downloads the file directly from the User A.
The pGrid node is not only the component of the storage volume from the view point of digital library abstraction, but it is the basic unit of computing grid environment for storing operations, It is also a basic unit of grid computational information and resource discovering entity. The MDS in pGrid node provides resource information and the system utilizes the MDS computational resource information, such as host full domain name and IP address.
To every action (i.e., share, search backup etc.), when the operation is finished, the operation execution information (multimedia data file accessed, size, etc.) will be recorded into the job information statistics database. This is done by the statistic module which collects time benchmarks in different places of procession and updates the statistic database which is maintained in a text file in every local pGrid node. Other than the above text file there are i) data object description file which contains the details of the multimedia data and ii) grid node description file which contains the details of nodes.
In order to provide stable and different operations for the proposed framework, several functions are called. The first function wmdl_add_node (Algorithm 1) initiates a pGrid Node. It adds a multimedia data file in the peer grid node and the user assigns a relative search key for it. The wmdl_search (Algorithm 2) is a function which does the job of searching or querying for a particular data. The user will type a relevant search key and then the system will find to display it in the pGrid node search list with details.
//Initialize and Log into network
netPeerGroup = PeerGroupFactory.newNetPeerGroup();
//check for availability
if(available in netPeerGroup())
//create new login
//Obtaining the Services
myDiscoveryService = netPeerGroup.getDiscoveryService();
Algorithm 1: Adds a new pGrid node
//Creating Share object
cms = new Share(); //share object
//initializing group for sharing an object;
//object for file sharing
//initialize Content Manager;
ContentManager contentManager = null;
contentManager = cms.getContentManager();
//Sharing files in current JXTA network
//Sharing Files and check sums in network
Algorithm 2: Shares a file in a group
The wmdl_browse (Algorithm 3) and (Algorithm 4) is an operation which updates the file list available in all pGrid nodes in the network and displays it in the browse list with pGrid node name. The operation wmdl_cp is also a low level operation, which just simply copies a data between two remote nodes. This operation is done only by the administrator and is triggered when a pGrid Node is removed permanently from the group.
myDiscoveryService = myGroup.getDiscoveryService();
//Creating listener object and initialize peeradvertisement;
DiscoveryResponseMsg res = event.getResponse();
PeerAdvertisement peerAdv = res.getPeerAdvertisement();
if(peerAdv != null)
name = peerAdv.getName();
PeerAdvertisement myAdv = null;
Enumeration en = res.getAdvertisements();
Vector peerList = new Vector();
myAdv = (PeerAdvertisement) en.nextElement();
//update_pGridnodelist()- updating the List of peers name
Algorithm 3: Updates nodes in the group
The operation wmdl_rm is used for removing data from a pGrid node. This operation can be initiated by the user and can remove data only from the node. The proposed system makes a copy of the data in some other remote node by calling the wmdl_backup operation. In this function, first the node in which the data located is identified and then the data is moved to a temporary delete directory. It is then placed in a remote node and the status is updated as deleted in data object
searchResult = search_file;
for(int i = 0; i ¡ searchResult.length;i++)
//update the searched files in the requested pGrid node
Algorithm 4: Searches a file in Peer Group
description file. All of these procedures are submitted as remote jobs to grid system and they take place in remote nodes.
//this class is a subclass of GetContentRequest
GetRemoteFile(Groupname, filename, destinationpGridnode))
//inform the user about current download progress
//inform user when download has been finished
append(Downloading Process is successfully finished);
Algorithm 5: Download file from a peer
The function wmdl_download (Algorithm 5) provides the programming interface to the globus fundamental service. The wmdl_download provides two different interfaces for remote file transfer and copy. The operation wmdl_shutdown is a function for physically taking a node out of the system. When a node is to be shut down and taken out of the system, all the multimedia data located in that node are reloaded to other nodes to guarantee the data integration.
6 Experimental results
The proposed system is experimented on two networks: (i) adopting only P2P and (ii) P2P with Grid computing technology. For P2P networks it uses TCP as its base for transferring data between peers. In case of Grid computing, transfer protocol used for transferring data is UDT . As UDT is a connection oriented duplex protocol, it supports both reliable data streaming and partial reliable messaging. UDT entity has two parts: the sender and the receiver. The sender is dependable for data packet receiving, timer expiration detection, control packet sending and receiving. All data and control packets in both directions are exchanged between a pair of UDP ports.
Reliable data transfer
Partial-reliable data transfer
TCP cannot be used for this type of processing because it has two problems. First, the link has to be wiped out to employ the full bandwidth. Second, when two TCP streams start at the similar time, the stream with longer RTT will be famished due to the RTT bias problem. This results in long wait for analysis process and slow down the data stream. UDT supports selective streaming for each client when required, while TCP does not.
6.1 Performance of TCP, UDP, and UDT
Time taken to transfer files using TCP, UDP, and UDT
From the graph plotted (Figure 11), we observe that the distribution of transfer time is close to a normal distribution. In UDT the transfer times is high, when compared to other protocols, such as TCP and UDP. The variation is because UDT employs better flow control and congestion control mechanism than other protocols. Flow control plays a vital role in high transfer rates, because, receiver buffer at the network line card is frequently overrun and sometimes not scheduled for transferring data.
6.2 Sample scenario
Benchmarks file size vs. download time
P2P normal speed (TCP)
P2P with grid increased speed (UDT)
Supports, increased download time
Supports and minimal increased download time
Authentication by JXTA
Time taken for retrieving multimedia data using P2P technology
Packet rate (sec)
Link capacity (Mbits/sec)
Time taken (sec)
Time taken for retrieving multimedia data using P2P and grid technology
P2P with grid computing
Packet rate (sec)
Link capacity (Mbits/sec)
Time taken (sec)
In this article, we have proposed a framework for building wireless digital library using grid computing and P2P technology. By adopting this technology storing of large bytes of multimedia data across the network is done efficiently and accessed easily from anywhere. From the experimental results obtained, we claim that this framework works efficiently because, the components act as key components and assure an increased performance. The proposed framework is deployed and experimented in an institution, which pertains to discovery and dissemination of multimedia data within their available resources, and the results are tabulated. From the results and benchmarks, the proposed framework works well and attains an efficient state when incorporated with Grid Computing and P2P technology. As every system lacks in some point, our system lacks in, when there are more number of simultaneous connections, i.e., more pGrid node formations. Increase in node results in reduced bandwidth utilization and increased retrieval time. Our future study is to optimize the results obtained, by solving the node increase problem and to incorporate the framework into cloud computing technology.
- Fei Han, Almeida Nuno, Loureno Miguel, Trezentos Paulo, Luis Borbinha Jos, Neves Joo: ARCO: a long-term digital library storage system based on grid computational infrastructure. In Proceedings of the Seventh International Conference on Enterprise Information Systems. Volume 1. Miami, USA; 2005:44-51. ISBN:972-8865-19-8Google Scholar
- Foster I: The anatomy of the Grid: Enabling scalable virtual organizations. Lecture notes in Computer Science 2001.Google Scholar
- Foster I, Kesselman C, Nick J, Tuecke S: The physiology of the grid: open grid services architecture for distributed system integration. Article in Open Grid Service Infrastructure WG, Global Grid Forum 2002.Google Scholar
- Kubiatowiuz J, Bindel D, Chen Y, Czerwinski S, Eatson P, Gunmandi R: OceanStore: an architecture for global scale persistent storage. In Proceedings of 9th International Conference on Architectural Support for Programming Language and OS. Volume 35. Cambridge, Massachusetts, USA; 2000:190-201. doi:10.1145/356989.357007Google Scholar
- Fox EA, Marchionini G: Toward a worldwide digital library. Commun. ACM 1998, 41(4):28-32.Google Scholar
- Borbinha Jos, Pedrosa Gilberto, Gil Joo, Martins Bruno, Freire Nuno: Milena Dobreva and Alberto Wyttenbach. In Digital libraries and digitised maps: an early overview of the DIGMAP project. Volume 4822. Asian Digital Libraries, LNCS, Springer Berlin/Heidelberg; 2007:383-386. ISBN:978-3-540-77093-0Google Scholar
- Lagoze C, Hunter J: The ABC ontology and model. J. Digital Inf 2002, 2(2):160-176.Google Scholar
- Aberer K, Punceva M, Hauswirth M, Schmidt R: Improving data access in p2p systems. IEEE Internet Comput 2002, 6(1):58-67. 10.1109/4236.978370View ArticleGoogle Scholar
- Stoica I, Morris R, Karger D, Kaashoek MF, Balakrishnan H: Chord: a scalable peer-to-peer lookup service for internet applications. In Proceedings of the 2001 conference on applications, technologies, architectures, and protocols for computer communications, ACM Press, SIGCOMM01. San Diego, California, USA; 2001:149-160.Google Scholar
- Ratnasamy S, Francis P, Handley M, Karp R, Schenker S: A scalable content-addressable network. In Proceedings of ACM SIGCOMM. ACM Press, New York, NY, USA; 161-172. ISBN:1-58113-411-8, doi:10.1145/383059.383072Google Scholar
- Rowstron A, Druschel P: Pastry: scalable, decentralized object location, and routing for large-scale peer-to-peer systems. In Proceeding of IFIP/ACM International Conference on Distributed Systems Platforms (Middleware). Heidelberg, Germany; 2001:329-350.Google Scholar
- Aberer Karl, Cudr-Mauroux Philippe, Datta Anwitaman, Despotovic Zoran, Hauswirth Manfred, Punceva Magdalena, Schmidt Roman: P-Grid: a self-organizing structured P2P system. SIGMOD Rec 2003, 32(3):29-33. doi:10.1145/945721.945729 10.1145/945721.945729View ArticleGoogle Scholar
- Cuenca-Acuna FM, Peery C, Martin RP, Nguyen TD: PlanetP, Using Gossiping to Build Content Addressable Peer-to-Peer Information Sharing Communities. Technical Report DCS-TR-487, Rutgers University 2002.Google Scholar
- Suel Torsten, Mathur Chandan, Wu JoWen, Zhang Jiangong, Delis Alex, Kharrazi Mehdi, Long Xiaohui, Shanmugasundaram Kulesh: Odissea: A peer-to-peer architecture for scalable web search and information retrieval. Technical report, Polytechnic University 2003.Google Scholar
- Fagin R: Combining fuzzy information from multiple systems. J. Comput. Syst. Sci 1999, 58(1):83-99. 10.1006/jcss.1998.1600MathSciNetView ArticleGoogle Scholar
- Bender Matthias, Michel Sebastian, Zimmer Christian, Weikum Gerhard: Towards Collaborative Search in Digital Libraries Using Peer-to-Peer Technology. Volume 2004. DELOS Workshop: Digital Library Architectures; 2004:61-72.Google Scholar
- Renuga AR, Sudhasadasivam G: P2P information retrieval framework for digital library system. J. Appl. Theor. Inf. Technol 2009, 5(3):301-306. ISSN 1992-8615Google Scholar
- Shih Wen-Chung, Yang Chao-Tung, Tseng Shian-Shyong: An interlibrary cooperation framework for digital libraries using P2P technology. In Proceedings of the Asia-Pacific Conference on Library & Information Education & Practice Singapore: School of Communication & Information, Nanyang Technological University. Singapore; 2006:155-159.Google Scholar
- Joshi H, Jakharia JC: Digital library grid: a Roadmap to Next generation digital libraries using grid technologies. 4th International Convention CALIBER-2006, Gulbarga, INFLIBNET Centre, Ahmedabad 2006.Google Scholar
- Yani C-T, Ho H-C: Using data grid technologies to construct a digital library environment, High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung. 40704 Taiwan, ROC 2005. 0-7803-8932-8/05/Google Scholar
- Fei Han, Almeida Nuno, Loureno Miguel, Trezentos Paulo, Luis Borbinha Jos, Neves Joo: ARCO: Moving Digital Library Storage to Grid Computing. Proceedings of the International Conference on Enterprise Information Systems 2004, 1: 64-69.Google Scholar
- Riasol E, Xhafa F: Juxta-cat: a jxta based platform for distributed computing. In ACM Proceedings of the 4th International symposium on Principles and practice of programming in Java. ACM, New York, NY, USA; 2006:72-81. doi:10.1145/1168054.1168065View ArticleGoogle Scholar
- Antoniu G, Jan M, Noblet DA: Enabling JXTA for High Performance Grid Computing. Report: Department of Computer Science, University of New Hampshire 2005, 14.Google Scholar
- Wankar R: Grid computing with Globus: an overview and research challenges. Int. J. Comput. Sci. Appl 2008, 5(3):56-69.Google Scholar
- CERN open lab for data grid applications[http://public.web.cern.ch/public/]
- Globus Toolkit[http://www.globus.org/toolkit/]
- Globus: Grid Security Infrastructure(GSI)[http://www.globus.org/security]
- Gu Y: UDT: a high performance data transport protocol. In Thesis. Department of Computer Science, University of IIinois, Chicago; 2005.Google Scholar
- Gu Y, Grossman RL: UDT: UDP-based data transfer for high-speed wide area networks. Int. J. Comput. Telecommun. Netw 2007., 51(7)Google Scholar
- Vazhkudai Sudharshan, Tuecke Steven, Foster Ian: Replica selection in the Globus data grid, Cluster Computing Grid, Computing Research Repository, Report No:ANL/MCS-P869-0201. 2001.Google Scholar
- Fitzgerald Steven, Foster Ian, Kesselman Carl, von Laszewski Gregor, Smith Warren, Tuecke Steven: A directory service for configuring high performance distributed computations. In Proceedings of the 6th IEEE Symposium on High Performance Distributed Computing. IEEE Computer Society Washington DC, USA; 1997:365-375. ISBN:0-8186-8117-9Google Scholar
- Suresh J, Srinivasan A, Damodaram A: Performance analysis of various high speed data transfer protocols for streaming data in long fat networks. In International Conference on Recent Trends in Information, Telecommunication and Computing. Kerala, India; 2010:234-237. doi:10.1109/ITC.2010.64View ArticleGoogle Scholar
- Rizzo L: Dummynet; a simple approach to the evaluation of network protocols. ACM Comput. Commun. Rev 1997, 27(1):31-41. 10.1145/251007.251012View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.