A Research Paper review presentation on "A High throughput bioinformatics distribute computing platform", presented by Md. Habibur Rahman, BIT0216, Institute of Information Technology University of Dhaka.
Mobile learning architecture using fog computing and adaptive data streamingTELKOMNIKA JOURNAL
With the huge development in mobile and network fields, sensor technologies and fog computing help the students for more effective learning, flexible and in and effective manner from anywhere. Using the mobile device for learn encourage the transition to mobile computing (cloud and fog computing) which is led to the ability to design customized system that help student to learn via context aware learning which can be done by set the user preference and use proper methods to show only related manner subject. The presented study works on developing a system of e-learning which has been on the basis of fog computing concepts with deep learning approaches utilized for classification to the data content for accomplishing the context aware learning and use the adaptation of video quality using special equation and the data encrypted and decrypted using 3DES algorithm to ensure the security side of the operation.
Cooperative hierarchical based edge-computing approach for resources allocati...IJECEIAES
Using mobile and Internet of Things (IoT) applications is becoming very popular and obtained researchers’ interest and commercial investment, in order to fulfill future vision and the requirements for smart cities. These applications have common demands such as fast response, distributed nature, and awareness of service location. However, these requirements’ nature cannot be satisfied by central systems services that reside in the clouds. Therefore, edge computing paradigm has emerged to satisfy such demands, by providing an extension for cloud resources at the network edge, and consequently, they become closer to end-user devices. In this paper, exploiting edge resources is studied; therefore, a cooperative-hierarchical approach for executing the pre-partitioned applications’ modules between edges resources is proposed, in order to reduce traffic between the network core and the cloud, where this proposed approach has a polynomial-time complexity. Furthermore, edge computing increases the efficiency of providing services, and improves end-user experience. To validate our proposed cooperative-hierarchical approach for modules placement between edge nodes’ resources, iFogSim toolkit is used. The obtained simulation results show that the proposed approach reduces network’s load and the total delay compared to a baseline approach for modules’ placement, moreover, it increases the network’s overall throughput.
Personalized Multimedia Web Services in Peer to Peer Networks Using MPEG-7 an...University of Piraeus
Multimedia information has been increased in the recent years while new content delivery services enhanced with personalization functionalities are provided to users. Several standards are proposed for the representation and retrieval of multimedia content. This paper makes an overview of the available standards and technologies. Furthermore a prototype semantic P2P architecture is presented which delivers personalized audio information. The metadata which support personalization are separated in two categories: the metadata describing user preferences stored at each user and the resource adaptation metadata stored at the P2P network’s web services. The multimedia models MPEG-21 and MPEG-7 are used to describe metadata information and the Web Ontology Language (OWL) to produce and manipulate ontological descriptions. SPARQL is used for querying the OWL ontologies. The MPEG Query Format (MPQF) is also used, providing a well-known framework for applying queries to the metadata and to the ontologies.
Mobile learning architecture using fog computing and adaptive data streamingTELKOMNIKA JOURNAL
With the huge development in mobile and network fields, sensor technologies and fog computing help the students for more effective learning, flexible and in and effective manner from anywhere. Using the mobile device for learn encourage the transition to mobile computing (cloud and fog computing) which is led to the ability to design customized system that help student to learn via context aware learning which can be done by set the user preference and use proper methods to show only related manner subject. The presented study works on developing a system of e-learning which has been on the basis of fog computing concepts with deep learning approaches utilized for classification to the data content for accomplishing the context aware learning and use the adaptation of video quality using special equation and the data encrypted and decrypted using 3DES algorithm to ensure the security side of the operation.
Cooperative hierarchical based edge-computing approach for resources allocati...IJECEIAES
Using mobile and Internet of Things (IoT) applications is becoming very popular and obtained researchers’ interest and commercial investment, in order to fulfill future vision and the requirements for smart cities. These applications have common demands such as fast response, distributed nature, and awareness of service location. However, these requirements’ nature cannot be satisfied by central systems services that reside in the clouds. Therefore, edge computing paradigm has emerged to satisfy such demands, by providing an extension for cloud resources at the network edge, and consequently, they become closer to end-user devices. In this paper, exploiting edge resources is studied; therefore, a cooperative-hierarchical approach for executing the pre-partitioned applications’ modules between edges resources is proposed, in order to reduce traffic between the network core and the cloud, where this proposed approach has a polynomial-time complexity. Furthermore, edge computing increases the efficiency of providing services, and improves end-user experience. To validate our proposed cooperative-hierarchical approach for modules placement between edge nodes’ resources, iFogSim toolkit is used. The obtained simulation results show that the proposed approach reduces network’s load and the total delay compared to a baseline approach for modules’ placement, moreover, it increases the network’s overall throughput.
Personalized Multimedia Web Services in Peer to Peer Networks Using MPEG-7 an...University of Piraeus
Multimedia information has been increased in the recent years while new content delivery services enhanced with personalization functionalities are provided to users. Several standards are proposed for the representation and retrieval of multimedia content. This paper makes an overview of the available standards and technologies. Furthermore a prototype semantic P2P architecture is presented which delivers personalized audio information. The metadata which support personalization are separated in two categories: the metadata describing user preferences stored at each user and the resource adaptation metadata stored at the P2P network’s web services. The multimedia models MPEG-21 and MPEG-7 are used to describe metadata information and the Web Ontology Language (OWL) to produce and manipulate ontological descriptions. SPARQL is used for querying the OWL ontologies. The MPEG Query Format (MPQF) is also used, providing a well-known framework for applying queries to the metadata and to the ontologies.
Edinburgh Data-Intensive Research Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis, and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively. They fail for several reasons, all of which are aspects of scalability. The deluge of computational methods and plethora of computational systems prevents effective and efficient use of resources, user interfaces are not adopted at a sufficient rate to satisfy demand for scientific computing and data and knowledge is created outside suitable contexts for collaborative research to be effective. The Edinburgh Data-Intensive Research group addresses these scalability issues by providing mappings from abstract formulations to concrete and optimised executions of research challenges, by developing intuitive interfaces to enable access to steer these executions and by developing systems to aid in creating new research challenges. In this talk I will present several exemplars where we have dealt with scalability issues in scientific scenarios.
PROCEDURE OF EFFECTIVE USE OF CLOUDLETS IN WIRELESS METROPOLITAN AREA NETWORK...IJCNCJournal
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necessary applications to the appropriate cloudlet using the possible values that determine the importance and coordinates of the cloudlets were studied. The article provides a model of the mobile user's route model in metropolitan environments and suggests a method for solving the problem.
Trabalho de Sistemas Paralelos e Distribuidos : "Parallel and Distributed Computing: BOINC Grid Implementation" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes
Multimedia Processing on Multimedia Semantics and Multimedia ContextRalf Klamma
The 10thWorkshop on Multimedia Metadata (SeMuDaTe‘09)
Yiwei Cao, Ralf Klamma, and Dejan KovachevI
Informatik 5 (Information Systems), RWTH Aachen University
2.12.2009
Graz, Austria
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creating the infrastructure for a Smart Campus, where dynamic
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provide an analysis of the characteristics and experimental
implementation of this system. Moreover, the practical usage of a
popular vendor and the needed back-end to provide dynamic
usages of the network, both in appearance and content is
described. In the paper different wireless technologies are
compared in regards to their main feature and field of
application. In general the characteristics of a Blue Tooth Low
Energy, BLE, are highlighted. This is elaborated upon in the
Smart Campus example. The Smart Campus is an indoor
wireless network to deliver location and user based dynamic
information to the different visitors, teacher or students of a
university campus, both for day-to-day use as for specific events.
To keep the system interesting and to augment ease-of-use for all
kind of users and content providers, a dedicated content
management system is developed within the Smart Campus case.
The complete system consists of a set of beacons, an application
on a smartphone, a database with the related CMS. All is
developed in an international cooperation between different
universities.
We propose the Bio-UnaGrid infrastructure to facilitate the automatic execution of intensive-computing workflows that require the use of existing application suites and distributed computing infrastructures. With Bio-UnaGrid, bioinformatics workflows are easily created and executed, with a simple click and in a transparent manner, on different cluster and grid computing infrastructures (line command is not used). To provide more processing capabilities, at low cost, Bio-UnaGrid use the idle processing capabilities of computer labs with Windows, Linux and Mac desktop computers, using a key virtualization strategy. We implement Bio-UnaGrid in a dedicated cluster and a computer lab. Results of performance tests evidence the gain obtained by our researchers.
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...ijcsit
In supporting its large scale, multidisciplinary scientific research efforts across all the university campuses and by the research personnel spread over literally every corner of the state, the state of Nevada needs to build and leverage its own Cyber infrastructure. Following the well-established as-a-service model, this state-wide Cyber infrastructure that consists of data acquisition, data storage, advanced instruments, visualization, computing and information processing systems, and people, all seamlessly linked together through a high-speed network, is designed and operated to deliver the benefits of Cyber infrastructure-as-aService (CaaS).There are three major service groups in this CaaS, namely (i) supporting infrastructural
services that comprise sensors, computing/storage/networking hardware, operating system, management tools, virtualization and message passing interface (MPI); (ii) data transmission and storage services that provide connectivity to various big data sources, as well as cached and stored datasets in a distributed
storage backend; and (iii) processing and visualization services that provide user access to rich processing and visualization tools and packages essential to various scientific research workflows. Built on commodity hardware and open source software packages, the Southern Nevada Research Cloud(SNRC)and a data repository in a separate location constitute a low cost solution to deliver all these services around CaaS. The service-oriented architecture and implementation of the SNRC are geared to encapsulate as much detail of big data processing and cloud computing as possible away from end users; rather scientists only need to learn and access an interactive web-based interface to conduct their collaborative, multidisciplinary, dataintensive research. The capability and easy-to-use features of the SNRC are demonstrated through a use case that attempts to derive a solar radiation model from a large data set by regression analysis.
Design of an IT Capstone Subject - Cloud RoboticsITIIIndustries
This paper describes the curriculum of the three year IT undergraduate program at La Trobe University, and the faculty requirements in designing a capstone subject, followed by the ACM’s recommended IT curriculum covering the five pillars of the IT discipline. Cloud robotics, a broad multidisciplinary research area, requiring expertise in all five pillars with mechatronics, is an ideal candidate to offer capstone experiences to IT students. Therefore, in this paper, we propose a long term master project in developing a cloud robotics testbed, with many capstone sub-projects spanning across the five IT pillars, to meet the objectives of capstone experience. This paper also describes the design and implementation of the testbed, and proposes potential capstone projects for students with different interests.
Beyond the Client-Server Architectures: A Survey of Mobile Cloud TechniquesDejan Kovachev
Mobile applications nowadays are developed either for a local (native) or for a client-server execution. However, applications in the future will be developed with cloud in mind, i.e. act as native applications, but do the heavy processing and storage in the cloud, deliver only needed parts and data at runtime and able to run offline. In order to better understand how to facilitate the building of mobile cloud-based applications, we have surveyed existing work in mobile computing through the prism of cloud computing principles. We provide an overview of the results from this survey, in particular, models of mobile cloud applications. We also highlight research challenges in the area of mobile cloud computing.
Edinburgh Data-Intensive Research Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis, and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively. They fail for several reasons, all of which are aspects of scalability. The deluge of computational methods and plethora of computational systems prevents effective and efficient use of resources, user interfaces are not adopted at a sufficient rate to satisfy demand for scientific computing and data and knowledge is created outside suitable contexts for collaborative research to be effective. The Edinburgh Data-Intensive Research group addresses these scalability issues by providing mappings from abstract formulations to concrete and optimised executions of research challenges, by developing intuitive interfaces to enable access to steer these executions and by developing systems to aid in creating new research challenges. In this talk I will present several exemplars where we have dealt with scalability issues in scientific scenarios.
PROCEDURE OF EFFECTIVE USE OF CLOUDLETS IN WIRELESS METROPOLITAN AREA NETWORK...IJCNCJournal
The article develops a method to ensure the efficient use of cloudlet resources by the mobile users. The article provides a solution to the problem of correct use of cloudlets located on the movement route of mobile users in Wireless Metropolitan Area Networks - WMAN environment. Conditions for downloading
necessary applications to the appropriate cloudlet using the possible values that determine the importance and coordinates of the cloudlets were studied. The article provides a model of the mobile user's route model in metropolitan environments and suggests a method for solving the problem.
Trabalho de Sistemas Paralelos e Distribuidos : "Parallel and Distributed Computing: BOINC Grid Implementation" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes
Multimedia Processing on Multimedia Semantics and Multimedia ContextRalf Klamma
The 10thWorkshop on Multimedia Metadata (SeMuDaTe‘09)
Yiwei Cao, Ralf Klamma, and Dejan KovachevI
Informatik 5 (Information Systems), RWTH Aachen University
2.12.2009
Graz, Austria
Flexible Technologies for Smart CampusKamal Spring
The article considers an example of the
advertisement network based on the BLE 4.0, and its facilities for
creating the infrastructure for a Smart Campus, where dynamic
information is provided for the target audience. The authors
provide an analysis of the characteristics and experimental
implementation of this system. Moreover, the practical usage of a
popular vendor and the needed back-end to provide dynamic
usages of the network, both in appearance and content is
described. In the paper different wireless technologies are
compared in regards to their main feature and field of
application. In general the characteristics of a Blue Tooth Low
Energy, BLE, are highlighted. This is elaborated upon in the
Smart Campus example. The Smart Campus is an indoor
wireless network to deliver location and user based dynamic
information to the different visitors, teacher or students of a
university campus, both for day-to-day use as for specific events.
To keep the system interesting and to augment ease-of-use for all
kind of users and content providers, a dedicated content
management system is developed within the Smart Campus case.
The complete system consists of a set of beacons, an application
on a smartphone, a database with the related CMS. All is
developed in an international cooperation between different
universities.
We propose the Bio-UnaGrid infrastructure to facilitate the automatic execution of intensive-computing workflows that require the use of existing application suites and distributed computing infrastructures. With Bio-UnaGrid, bioinformatics workflows are easily created and executed, with a simple click and in a transparent manner, on different cluster and grid computing infrastructures (line command is not used). To provide more processing capabilities, at low cost, Bio-UnaGrid use the idle processing capabilities of computer labs with Windows, Linux and Mac desktop computers, using a key virtualization strategy. We implement Bio-UnaGrid in a dedicated cluster and a computer lab. Results of performance tests evidence the gain obtained by our researchers.
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...ijcsit
In supporting its large scale, multidisciplinary scientific research efforts across all the university campuses and by the research personnel spread over literally every corner of the state, the state of Nevada needs to build and leverage its own Cyber infrastructure. Following the well-established as-a-service model, this state-wide Cyber infrastructure that consists of data acquisition, data storage, advanced instruments, visualization, computing and information processing systems, and people, all seamlessly linked together through a high-speed network, is designed and operated to deliver the benefits of Cyber infrastructure-as-aService (CaaS).There are three major service groups in this CaaS, namely (i) supporting infrastructural
services that comprise sensors, computing/storage/networking hardware, operating system, management tools, virtualization and message passing interface (MPI); (ii) data transmission and storage services that provide connectivity to various big data sources, as well as cached and stored datasets in a distributed
storage backend; and (iii) processing and visualization services that provide user access to rich processing and visualization tools and packages essential to various scientific research workflows. Built on commodity hardware and open source software packages, the Southern Nevada Research Cloud(SNRC)and a data repository in a separate location constitute a low cost solution to deliver all these services around CaaS. The service-oriented architecture and implementation of the SNRC are geared to encapsulate as much detail of big data processing and cloud computing as possible away from end users; rather scientists only need to learn and access an interactive web-based interface to conduct their collaborative, multidisciplinary, dataintensive research. The capability and easy-to-use features of the SNRC are demonstrated through a use case that attempts to derive a solar radiation model from a large data set by regression analysis.
Design of an IT Capstone Subject - Cloud RoboticsITIIIndustries
This paper describes the curriculum of the three year IT undergraduate program at La Trobe University, and the faculty requirements in designing a capstone subject, followed by the ACM’s recommended IT curriculum covering the five pillars of the IT discipline. Cloud robotics, a broad multidisciplinary research area, requiring expertise in all five pillars with mechatronics, is an ideal candidate to offer capstone experiences to IT students. Therefore, in this paper, we propose a long term master project in developing a cloud robotics testbed, with many capstone sub-projects spanning across the five IT pillars, to meet the objectives of capstone experience. This paper also describes the design and implementation of the testbed, and proposes potential capstone projects for students with different interests.
Beyond the Client-Server Architectures: A Survey of Mobile Cloud TechniquesDejan Kovachev
Mobile applications nowadays are developed either for a local (native) or for a client-server execution. However, applications in the future will be developed with cloud in mind, i.e. act as native applications, but do the heavy processing and storage in the cloud, deliver only needed parts and data at runtime and able to run offline. In order to better understand how to facilitate the building of mobile cloud-based applications, we have surveyed existing work in mobile computing through the prism of cloud computing principles. We provide an overview of the results from this survey, in particular, models of mobile cloud applications. We also highlight research challenges in the area of mobile cloud computing.
Corporate Senior Vice President, Noriyuki Toyoki, shares Fujitsu’s vision of the increasingly prevalent role technology takes in our daily lives. Everything you ever wanted to know about big data, smart grids, supercomputing and how they can support society through disaster recovery, healthcare ICT and food production - to create a human centric intelligent society.
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A High Throughput Bioinformatics Distributed Computing Platform
1. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
A High-Throughput
Bioinformatics Distributed
Computing Platform
19-09-2012 1
A high-throughput bioinformatics distributed computing platform
2. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Presented by-
Md. Habibur Rahman
BIT 0216
Institute of Information Technology
University of Dhaka
Bangladesh
19-09-2012 2
A high-throughput bioinformatics distributed computing platform
3. The contributors of the paper
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Thomas M. Keane, Andrew J. Page, James O. McInerney,
and Thomas J. Naughton
Bioinformatics and Pharmacogenomics Laboratory,
National University of Ireland, Maynooth, Co. Kildare,
Ireland
Department of Computer Science, National University of
Ireland, Maynooth, Co. Kildare, Ireland
Homepage: http://www.cs.nuim.ie/distibuted
19-09-2012 3
A high-throughput bioinformatics distributed computing platform
4. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Publications
18th IEEE Symposium on Computer-
Based Medical System (CBMS’05)
19-09-2012 4
A high-throughput bioinformatics distributed computing platform
5. Suitability of Bioinformatics to
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Distributed Computing
A Class of Algorithmic Parallelism
referred to as coarse-grained parallelism.
High compute-to-data ratio.
19-09-2012 5
A high-throughput bioinformatics distributed computing platform
6. Topic and Problem Overview
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Demand for high performance computing has increased
dramatically in the area of bioinformatics due to rapid
increase in the size of genomic databases.
Traditional database search algorithm was not feasible to
perform full search of a large database in a reasonable
time.
Feasibility of heuristic algorithm but reduction of
sensitivity of search.
Evolutionary biology, phylogenetic tree and greedy
heuristic algorithm.
19-09-2012 6
A high-throughput bioinformatics distributed computing platform
7. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Proposed solution
o According to the writers of the paper---
“We present a general-
purpose programmable distributed computing platform
suitable for deployment in a typical university environment
where many semi-idle desktop PC’s are connected via a
network”
The system is fully cross-platform.
Two distributed bioinformatics applications:
i) DSEARCH
ii) DPRml
19-09-2012 7
A high-throughput bioinformatics distributed computing platform
8. Proposed solution(cont.)
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
o Java Distributed Computing platform
- Client Server model
- Server controls the resources (database, algorithm
or computer hardware)
- The model is divided into three separate pieces of
software: server, client and remote interface.
19-09-2012 8
A high-throughput bioinformatics distributed computing platform
9. Proposed solution(cont.)
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Fig: Diagram of the complete system
19-09-2012 9
A high-throughput bioinformatics distributed computing platform
10. Proposed solution(cont.)
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Installation and Deployment
- Consists of three executable JAR files corresponding to
the server, client and remote interface.
- Run the client as a low priority background service.
- Hardware specification: At least Pentium IV processor
- OS compatibility: Windows, Sun Solaris, Mac OSX and
Linux.
19-09-2012 10
A high-throughput bioinformatics distributed computing platform
11. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
DPRml
- Distributed Phylogeny Reconstruction by maximum likelihood
Previous situation:
Maximum likelihood evolution is one the most accurate techniques
for reconstructing phylogenies.
Developed parallel ML programs for reconstructing large and
accurate phylogenetic trees.
Implemented in platform specific language
19-09-2012 11
A high-throughput bioinformatics distributed computing platform
12. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
DPRml (cont.)
- Distributed Phylogeny Reconstruction by maximum likelihood
After the development of distributed computing platform:
One of the most general and powerful likelihood-based phylogenetic
tree building program.
Used proven tree building algorithm and phylogenetic Analysis
Library
Possibility of multiple phylogenetic computation.
Platform independent ML program.
19-09-2012 12
A high-throughput bioinformatics distributed computing platform
13. DPRml (cont.)
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
- Distributed Phylogeny Reconstruction by maximum likelihood
Speed up Testing:
Fig. Speedup achieved by running 6 simultaneous DPRml problems
using between 1-40 semi-idle processors.
19-09-2012 13
A high-throughput bioinformatics distributed computing platform
14. DSEARCH
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Fully cross-platform parallel database search program.
Operates in a master slave environment.
Splitting the database into fixed sized units that are subsequently
searched on the donor machines.,
19-09-2012 14
A high-throughput bioinformatics distributed computing platform
15. DSEARCH (cont.)
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
Speed up Testing: Using-
- FASTA database file,
- A FASTA query
sequence file.
- A searching scheme
- A configuration file.
Fig. Speedup achieved by DSEARCH running on
between 1-80 semi-idle processors.
19-09-2012 15
A high-throughput bioinformatics distributed computing platform
16. My criticism and future work to do
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
No detail description about how the applications works on the
distributed computing platform.
If we don’t get the spare clock cycle of the semi-idle pc then the
system will not give us the best result.
Failure of interconnected network of the desktop-pc’s will reduce
the performance.
To improve and expand the range of bioinformatics applications for
the system.
19-09-2012 16
A high-throughput bioinformatics distributed computing platform
17. Conclusion
INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
“There should not have any conclusion of
research work, It is a continual process and it will
be continued for the betterment of the human
being.”
19-09-2012 17
A high-throughput bioinformatics distributed computing platform
18. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
ANY QUESTION?
19-09-2012 18
A high-throughput bioinformatics distributed computing platform
19. INSTITUTE OF INFORMATION TECHNOLOGY (IIT), UNIVERSITY OF DHAKA
19-09-2012 19
A high-throughput bioinformatics distributed computing platform