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International Journal of Modern Engineering Research (IJMER)
                www.ijmer.com          Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182      ISSN: 2249-6645

        Hgrid: An Economical Model for Mass-Health Care System Using
                     Latest Technology (Grid Computing)

                                  S.Kanchana Devi, 1 Dr.S.Govindarajan2
                             1, 2Department of Computer Applications, SRM University, India

ABSTRACT: The large Hospitals and healthcare                    Care system to utilize the human knowledge power and
institutions consist of different Medical equipments and        other hospital resources effectively. The term “Health
computers hardware software resources scattered across          grids” means that encompassing the Grid Computing
their campus. Rarely these resources are totally utilized to    technology on the Internet based health care system. Grid
their fullest capacities and most of the times they remain      infrastructure comprises applications, services or
idle. This situation seems to be alright for the rich and       middleware components that deal with the specific
developed countries. Definitely for developing countries        problems arising in the processing of biomedical data.
like India, we cannot afford huge investments in Computer
Hardware‟s, embedded equipments (which are generally                                IV. Hypotheses
costlier), system software (including proprietary systems)               The large Hospitals and medical institutions has
and Application software based on expert systems. In order      limited computing resources, but are scattered at different
to efficiently and enormously utilize the resources across      departments at different places. To achieve our stated
the health centres/hospitals/medical universities, the grid     objectives, the possible hypotheses is to frame optimal
computing technology deployed in massive health care            usage of all these resources (Including massive storages
maintenance requirements                                        intermittently    required by different departments
                                                                surgeons)through the latest cutting edge technology of grid
                    I. Introduction                             computing.
         This Paper analyse the need for health grid, the
architectural framework is designed to develop a health                          V. Scope of research
grid system for kattankulathur campus.                                   This framework provides resource utilization in a
                                                                proper way across multiple industries including health
                II. Need for the Study                          enters& Engineering industries. Researchers can use grid
          Most of the Health centres and medical                computing processing power to hunt for new viruses,
institutions have      powerful collection of computing         search for new drugs, model disease outbreaks, image the
resources and health related instruments on their campus        body‟s organs and determine treatments for patients.
for use in areas from high performance computing to             Doctors can gain access to relevant health data regardless
general access medical laboratories(in the form of image        of where it is stored. Patients can receive a more
processing, preserving health parameters of individuals,        individualized form of healthcare. Healthcare workers are
availability of drugs, blood banks and other treatment          better able to collaborate and share large amounts of
related facilities). However, these resources are rarely used   information.
to their fullest potential. Due to paucity of funds and
exponential increase in patient registrations, most often it     V.1 for a healthcare Professional/Biomedical
is required to ensure the minimum facilities to reach the       Researcher
needy patients. Therefore, it is mandatory to search and                  From the individualised care point of view, for
find out the right technology to ensure the full utilization    the clinicians to make the best diagnosis and decide on
of the computing resources to be passed on to the needy         treatment all the relevant health information of the patient
and poor patient by exploiting the computing power to the       needs to be available and transparently accessible to them
maximum possible extent. Though the telemedicine system         regardless of the location where it is stored. Moreover,
through internet emerges now, the important aspects of          computer-aided tools are now essential for interpreting
secured access & Information are lacking as per most of         patient-specific data in order to determine the most
the users. Moreover, the internet based systems are more        suitable therapy from the diagnosis.
vulnerable to spam and viruses. Therefore, the requirement
boils down to find out a system of making optimal usage                  To store and process medical images, genetic
of these resources to different patients by deploying           information and other patient data, a large amount of
appropriate current state of our technology. The vast           computing power is needed. Large computing resources
requirements are confined to not only to multi speciality       are also needed for keeping statistics of patient records, for
hospitals, but also to various major healthcare institutions    knowledge extraction using data mining, and for the
attached to medical colleges, private banking centres and       simulation of organisms and diseases using complex
universities too.                                               biomedical models. Grid technology has undoubtedly
                                                                much to offer medical professionals, as illustrated by the
                    III. Objectives                             following examples. The delivery of medical information
Keeping the above needs in mind, the objective of this          and certain services through the internet is familiar. In
paper is to device an Architectural framework for Health        health grid computing, we seek an extension of the concept

                                                         www.ijmer.com                                             178 | Page
International Journal of Modern Engineering Research (IJMER)
                   www.ijmer.com          Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182      ISSN: 2249-6645

    to consider how to provide large scale services to the user   tolerance are indispensable. However, it is difficult for
    on demand. Some case study quoted by SHARE                    these applications to run non-stop with a high quality of
    PROJECT Supporting and Structuring Health grid                service. Grids could help by providing a platform of
    activities & Research in Europe, Developing a Roadmap         collaboration, allowing the linking centres which co-
    [3].                                                          operate to achieve better continuity and quality of service.
                                                                  Medical staff will then be able to share experience,
1) Consider a radiologist who needs to manipulate an image:       knowledge and „second opinion‟ with other internal and
   we want to provide a set of services, some of which may        external staff. The distributed architecture of grids with the
   require heavy processing, making them available on her         availability of high-bandwidth networks responds well to
   desktop „transparently‟, as if they were programs simply       the requirements of healthcare provision. There are also
   running on her computer.                                       optimistic stakeholders‟ views towards medical research,
2) Consider a public health service which monitors certain        healthcare and computing capabilities combined to better
   infectious diseases and has to trigger an alert in case of a   satisfy the patient
   suspected epidemic. The identification of unusual patterns               Health grids promise many benefits to mobile
   would in many cases be the critical step to halting the        patients as well as citizens. It could help a travelling
   problem.                                                       individual to receive the right treatment in an emergency
3) Consider a surgical simulation prior to maxillofacial          situation, thanks to the ability of the grid to facilitate
   surgery, to determine how the patient‟s face may appear        communication between the local hospital of the patient
   after one manoeuvre versus another, the presence of            and the admitting hospital far away in order to exchange
   sufficient tissue to allow the operation or to demand          necessary heath related information.
   transplantation, and even to involve the patient in the
   decision.                                                                      VII. Research Questions
4) Consider a „neglected disease‟ like malaria. Malaria is                 What is the nature of implementation of Grid
   neglected by the pharmaceutical industry because there is      computing technology over the healthcare maintenance? ,
   no prospect of profit in it. Relatively little progress has    What are the technologies trade off the architectural
   been made towards the eradication of this well understood      components? [3], what are the Socio economical benefits
   disease, notwithstanding substantial investments of public     of the health grid system?
   funds in research projects. In silico lead generation may
   possibly be coupled with investment in plant by the poorer                    VIII. Architectural Model
   nations that suffer from it to lead to a locally sustainable            This section describes the logical representation
   solution.                                                      of the architectural model. The Grid System designed for
5) Consider the possibility of linking genomic information to     the health centre is “campus grid” which is one of the
   imaging in diseases like juvenile idiopathic arthritis. The    types of grid. Health grid architectural framework
   genome will indicate susceptibility long before the disease    designed consists of several sub systems. The sub systems
   is expressed, but equally, signs picked up from imaging        are described as grid layers such as application (Higher)
   may obviate the need for genetic screening, thus avoiding      layer, Management (Middle) Layer, Computing (Low)
   some of the most acute problems associated with it.            layer. Highest layer is application layer deals with clinical
6) Consider more abstractly the nature of evidence based          applications and consists of user interfaces, next is
   practice, the volume of scientific literature that provides    management that and routing requests and responses,
   the evidence base and the accumulation of evidence from        manages job queue along with job scheduling algorithms
   practice that occurs as a matter of routine healthcare. How    and methodologies, allocating resources for the job queue.
   can these be integrated?. How can they be used without         The Third layer is Computing layer which is responsible
   violating any ethical restrictions on use of data,             for mapping the resources to the jobs and controls the
   confidentiality, privacy, security? How can they be shared     execution. The groups are virtual nodes of health grid
   without violating any data protection laws?                    system.
             These are simple examples of foreseeable
   beneficial advances within the next generation of
   developments. For the radiologist or the maxillofacial
   surgeon, the services described would be important new
   tools, while for the provider of such services the
   underlying grid would be an ideal e-market place. For the
   public health service concerned with infectious diseases or
   the academic unit concerned with neglected diseases,
   health grids would provide power and flexibility beyond
   what could be achieved using traditional approaches. For a
   group of physicians seeking to improved treatment through
   research, grid offers a completely new concept.

                 VI. Socio-Economic benefits
             Modern healthcare services are expected to be                 Figure1.Health grid system Architecture
    available around the clock, seven days a week, so that
    systems with pervasive access and near-absolute fault

                                                           www.ijmer.com                                             179 | Page
International Journal of Modern Engineering Research (IJMER)
               www.ijmer.com          Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182      ISSN: 2249-6645

         The Grid is connected to the three layer           authentication,   resource   authorization,   and     security
architecture through Globus Toolkit which provides the      concerns.
grid Environment. The group could be able to complete the
jobs adjusted run automatically according to the user‟s     VIII.1 Technologies to build the architecture
need and return the result to users. Integrations are                Based on the architectural model the grid
intended to be transparent and seamless to the developer.   topology is defined as specified in figure.2.This section
The group is mainly responsible for two functions: the      specifies the physical structure of campus grid and the
management function of works and the management             table provides various technologies can be used to build
function of system adjustment. The work management          the model for healthcare system.
function include shading over interface, management
interface and the parallel work management; the system      VIII.2 Architectural Tradeoffs for Health grid
management function includes system supervision, the        resources
allotment strategy, the management of works PRI and SLA              The following table list the technologies available
management.                                                 to enable the activity of each Component in the physical
         The Overall architecture is bounded by the Grid    topological structure specified at figure 2.
Management and criterion component that enables Grid




                                                      www.ijmer.com                                             180 | Page
International Journal of Modern Engineering Research (IJMER)
                  www.ijmer.com          Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182      ISSN: 2249-6645




                                           Figure 2: Campus Grid Topology Structure

          The Globus Toolkit [10] has become widely               IX.1 Trust and Acceptance from society.
accepted as the standard tool for building grid architecture                Trust is a very important element in any interaction
and boasts success stories including GriPhyN [11], Open           between the different members of a society. In the market
Science Grid [12], TeraGrid [13], and NEES grid [14]. The         context, trust is crucial for successful business to business
Globus Toolkit provides identification, authentication,           collaborations. Similarly, in a health grid domain a good
authorization, and security for connecting the resources of       collaboration will not be achieved unless a trust relationship
the grid, as shown in Figure 2. The infrastructure allows for     exists between the different users and stakeholders. Pilot
strict local control of a given resource but still allows users   projects and prototype applications, which are an inherent
from anywhere to perform a variety of tasks related to            part of the technology health grid, need to be future oriented
resource and service discovery, file management, system and       in the sense that the ultimate routine operation users have to
job monitoring, and job submission.                               be persuaded both of their value and their applicability, i.e.
                                                                  their ability to fit into real clinical or research workflows.
VIII.3 Health grid physical structure                             This has to be taken seriously from the very beginning, even
         Geographically the Hospitals, health centres and the     in proof-of-technology demonstrators. The goal should
medical institutions are situated at different places. This       always be to give users, especially clinicians, tools that they
paper designed a topological structure to establish and to        would consider using with patients in real healthcare
show the communication manner in between the layers.There         situations. Trust and acceptance can be greatly enhanced by
is a control node which logically controls the grid               the establishment of appropriate ethics committee structures
environment to which the other health nodes are connected         to advice on the observance of ethical principles.
by network structure. Web portal for the Health grid is
enabling the raw and processed information.                       IX. 2 Cross-Organisational Interoperability.
         The Grid network is connected to internet provided       The effective deployment of knowledge grids will crucially
with grid security. The network routers are routing the           depend on collaboration between institutions, meaning more
requests and responses in between the nodes.                      than “simple” access to each others‟ data and computing
                                                                  resources. This collaboration requires the utilization of
        IX. Socio-economic recommendations                        human resources and in some cases a significant strategic re-
         This section discusses the socio economic                orientation and re-organisation of working processes and
requirement for the successful development and                    even management structures. Particular attention should be
implementation of campus grid for health centres and              given to flexibility of government regulated budgets and
medical institutions across Kattankulathur region and in          reimbursement schemes.
future across the country.                                                    X. Future work and Conclusion
                                                                         In this paper, the architectural model has been
                                                                designed and the technologies can be used to deploy the
                                                                system are stated. The security establishment for campus grid
                                                             www.ijmer.com                                          181 | Page
International Journal of Modern Engineering Research (IJMER)
                   www.ijmer.com          Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182      ISSN: 2249-6645

is analysed from distributed systems security and developed                    Multi Conference on Systemic, Cybernetics and Informatics,
for this system. Implementing the campus grid for the                          Or-lando, Florida, 2002.
hospitals helps to utilize the man power and other                      [9]    The GridPort Toolkit, October 2005, http://gridport.net.
computational and medical devices effectively across the                [10]   Altair       PBS        Professional,       October        2005,
                                                                               http://www.altair.com/software/pbspro.htm
country and across the universe through different exclusive
                                                                        [11]   IBM       LoadLeveler,       October      2005,     http://www-
architectures. The future work of this paper could be actual                   03.ibm.com/servers/eserver/clusters/software/loadleveler.htm
implementation in such a way that generating clusters,                         l.
development of forms, reports along with the data and                   [12]   Computing        Center       Software,      October       2005,
establish resource security. United Kingdom [3] started the                    http://wwwcs.upb.de/pc2/projects/ccs.
development of health grid on 2002 itself. Though the noise             [13]   The         Globus         Toolkit,        October         2005,
of health grid echoes in India, there is no architectural model                http://globus.org/toolkit/about.html.
available for health grid as of now. The main advantage of              [14]   Grid        Physics        Network,         October        2005,
this model is the cost effectiveness.                                          http://www.griphyn.org.
                                                                        [15]   Open          Science         Grid,        October         2005,
                                                                               http://www.opensciencegrid.org.
                           References                                   [16]   TeraGrid, October 2005, http://www.teragrid.org.
JOURNALS                                                                [17]   NEESgrid, October 2005, http://www.neesgrid.org.
[1]   Jing Wang 1, Zhimin Yang1, Weili Kou11 Department of              [18]   Condor-C,                      October                     2005,
      Computing, Shandong University, Weihai, P.R, China,” A                   http://cs.wisc.edu/condor/manual/v6.7.8/5_4Condor_C.html
      Solution for Building Campus Grid”, IEEE Transactions.            [19]   GridLab: A Grid Application Toolkit and Testbed, October
[2]   Mark Olive, Hanene Rahmouni and Tony Solomonides, “A                     2005, http://gridlab.org.
      European Healthgrid “,Journal of Medical Internet research,       [21]   Sun        ONE        Portal       Server,November         2005,
      European Commission, Information Society and Media.                      http://docs.sun.com/app/docs/coll/S1_PortalServer_61.
THESES                                                                  [22]   Research and technology development on telematics systems
[3]   Research and technology development on telematics systems                in health care. Annual technical report on RTD in health care.
      in health care. Annual technical report on RTD in health care.           CEC DG XIII. Brussels: AIM, 1993.
      CEC DG XIII. Brussels: AIM, 1993.                                 [23]   e-Science                       talk                      project
[4]   e-Science                      talk                    project           www.gridtalk.org/Documents/ehealth.pdf
      www.gridtalk.org/Documents/ehealth.pdf
  CONFERENCE PROCEEDINGS
[5]   Krishna Nadiminti and Rajkumar Buyya, The University of
      Melbourne, “Enterprise Grid computing: State-of-the-Art”,
      2009, Computer Science-Technology and Applications, 2009.
      Proceedings of IFCSTA '09. V1, PP160 – 163
[6]   V. Welch, T. Barton, K. Keahey, and F. Siebenlist,
      "Attributes, Anonymity, and Access: Shibboleth and Globus
      Integration to Facilitate Grid Collaboration," presented at 4th
      Annual PKI R&D Workshop, Gaithersburg, MD, 2005.




URLs
[7]   OpenPBS, October 2005, http://www.openpbs.org.
[8]   T. Naughton and S. L. Scott, "The Penguin in the Pail -
      OSCAR Cluster Installation Tool," presented at 6th World

                                                                   www.ijmer.com                                                   182 | Page

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Be31178182

  • 1. International Journal of Modern Engineering Research (IJMER) www.ijmer.com Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182 ISSN: 2249-6645 Hgrid: An Economical Model for Mass-Health Care System Using Latest Technology (Grid Computing) S.Kanchana Devi, 1 Dr.S.Govindarajan2 1, 2Department of Computer Applications, SRM University, India ABSTRACT: The large Hospitals and healthcare Care system to utilize the human knowledge power and institutions consist of different Medical equipments and other hospital resources effectively. The term “Health computers hardware software resources scattered across grids” means that encompassing the Grid Computing their campus. Rarely these resources are totally utilized to technology on the Internet based health care system. Grid their fullest capacities and most of the times they remain infrastructure comprises applications, services or idle. This situation seems to be alright for the rich and middleware components that deal with the specific developed countries. Definitely for developing countries problems arising in the processing of biomedical data. like India, we cannot afford huge investments in Computer Hardware‟s, embedded equipments (which are generally IV. Hypotheses costlier), system software (including proprietary systems) The large Hospitals and medical institutions has and Application software based on expert systems. In order limited computing resources, but are scattered at different to efficiently and enormously utilize the resources across departments at different places. To achieve our stated the health centres/hospitals/medical universities, the grid objectives, the possible hypotheses is to frame optimal computing technology deployed in massive health care usage of all these resources (Including massive storages maintenance requirements intermittently required by different departments surgeons)through the latest cutting edge technology of grid I. Introduction computing. This Paper analyse the need for health grid, the architectural framework is designed to develop a health V. Scope of research grid system for kattankulathur campus. This framework provides resource utilization in a proper way across multiple industries including health II. Need for the Study enters& Engineering industries. Researchers can use grid Most of the Health centres and medical computing processing power to hunt for new viruses, institutions have powerful collection of computing search for new drugs, model disease outbreaks, image the resources and health related instruments on their campus body‟s organs and determine treatments for patients. for use in areas from high performance computing to Doctors can gain access to relevant health data regardless general access medical laboratories(in the form of image of where it is stored. Patients can receive a more processing, preserving health parameters of individuals, individualized form of healthcare. Healthcare workers are availability of drugs, blood banks and other treatment better able to collaborate and share large amounts of related facilities). However, these resources are rarely used information. to their fullest potential. Due to paucity of funds and exponential increase in patient registrations, most often it V.1 for a healthcare Professional/Biomedical is required to ensure the minimum facilities to reach the Researcher needy patients. Therefore, it is mandatory to search and From the individualised care point of view, for find out the right technology to ensure the full utilization the clinicians to make the best diagnosis and decide on of the computing resources to be passed on to the needy treatment all the relevant health information of the patient and poor patient by exploiting the computing power to the needs to be available and transparently accessible to them maximum possible extent. Though the telemedicine system regardless of the location where it is stored. Moreover, through internet emerges now, the important aspects of computer-aided tools are now essential for interpreting secured access & Information are lacking as per most of patient-specific data in order to determine the most the users. Moreover, the internet based systems are more suitable therapy from the diagnosis. vulnerable to spam and viruses. Therefore, the requirement boils down to find out a system of making optimal usage To store and process medical images, genetic of these resources to different patients by deploying information and other patient data, a large amount of appropriate current state of our technology. The vast computing power is needed. Large computing resources requirements are confined to not only to multi speciality are also needed for keeping statistics of patient records, for hospitals, but also to various major healthcare institutions knowledge extraction using data mining, and for the attached to medical colleges, private banking centres and simulation of organisms and diseases using complex universities too. biomedical models. Grid technology has undoubtedly much to offer medical professionals, as illustrated by the III. Objectives following examples. The delivery of medical information Keeping the above needs in mind, the objective of this and certain services through the internet is familiar. In paper is to device an Architectural framework for Health health grid computing, we seek an extension of the concept www.ijmer.com 178 | Page
  • 2. International Journal of Modern Engineering Research (IJMER) www.ijmer.com Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182 ISSN: 2249-6645 to consider how to provide large scale services to the user tolerance are indispensable. However, it is difficult for on demand. Some case study quoted by SHARE these applications to run non-stop with a high quality of PROJECT Supporting and Structuring Health grid service. Grids could help by providing a platform of activities & Research in Europe, Developing a Roadmap collaboration, allowing the linking centres which co- [3]. operate to achieve better continuity and quality of service. Medical staff will then be able to share experience, 1) Consider a radiologist who needs to manipulate an image: knowledge and „second opinion‟ with other internal and we want to provide a set of services, some of which may external staff. The distributed architecture of grids with the require heavy processing, making them available on her availability of high-bandwidth networks responds well to desktop „transparently‟, as if they were programs simply the requirements of healthcare provision. There are also running on her computer. optimistic stakeholders‟ views towards medical research, 2) Consider a public health service which monitors certain healthcare and computing capabilities combined to better infectious diseases and has to trigger an alert in case of a satisfy the patient suspected epidemic. The identification of unusual patterns Health grids promise many benefits to mobile would in many cases be the critical step to halting the patients as well as citizens. It could help a travelling problem. individual to receive the right treatment in an emergency 3) Consider a surgical simulation prior to maxillofacial situation, thanks to the ability of the grid to facilitate surgery, to determine how the patient‟s face may appear communication between the local hospital of the patient after one manoeuvre versus another, the presence of and the admitting hospital far away in order to exchange sufficient tissue to allow the operation or to demand necessary heath related information. transplantation, and even to involve the patient in the decision. VII. Research Questions 4) Consider a „neglected disease‟ like malaria. Malaria is What is the nature of implementation of Grid neglected by the pharmaceutical industry because there is computing technology over the healthcare maintenance? , no prospect of profit in it. Relatively little progress has What are the technologies trade off the architectural been made towards the eradication of this well understood components? [3], what are the Socio economical benefits disease, notwithstanding substantial investments of public of the health grid system? funds in research projects. In silico lead generation may possibly be coupled with investment in plant by the poorer VIII. Architectural Model nations that suffer from it to lead to a locally sustainable This section describes the logical representation solution. of the architectural model. The Grid System designed for 5) Consider the possibility of linking genomic information to the health centre is “campus grid” which is one of the imaging in diseases like juvenile idiopathic arthritis. The types of grid. Health grid architectural framework genome will indicate susceptibility long before the disease designed consists of several sub systems. The sub systems is expressed, but equally, signs picked up from imaging are described as grid layers such as application (Higher) may obviate the need for genetic screening, thus avoiding layer, Management (Middle) Layer, Computing (Low) some of the most acute problems associated with it. layer. Highest layer is application layer deals with clinical 6) Consider more abstractly the nature of evidence based applications and consists of user interfaces, next is practice, the volume of scientific literature that provides management that and routing requests and responses, the evidence base and the accumulation of evidence from manages job queue along with job scheduling algorithms practice that occurs as a matter of routine healthcare. How and methodologies, allocating resources for the job queue. can these be integrated?. How can they be used without The Third layer is Computing layer which is responsible violating any ethical restrictions on use of data, for mapping the resources to the jobs and controls the confidentiality, privacy, security? How can they be shared execution. The groups are virtual nodes of health grid without violating any data protection laws? system. These are simple examples of foreseeable beneficial advances within the next generation of developments. For the radiologist or the maxillofacial surgeon, the services described would be important new tools, while for the provider of such services the underlying grid would be an ideal e-market place. For the public health service concerned with infectious diseases or the academic unit concerned with neglected diseases, health grids would provide power and flexibility beyond what could be achieved using traditional approaches. For a group of physicians seeking to improved treatment through research, grid offers a completely new concept. VI. Socio-Economic benefits Modern healthcare services are expected to be Figure1.Health grid system Architecture available around the clock, seven days a week, so that systems with pervasive access and near-absolute fault www.ijmer.com 179 | Page
  • 3. International Journal of Modern Engineering Research (IJMER) www.ijmer.com Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182 ISSN: 2249-6645 The Grid is connected to the three layer authentication, resource authorization, and security architecture through Globus Toolkit which provides the concerns. grid Environment. The group could be able to complete the jobs adjusted run automatically according to the user‟s VIII.1 Technologies to build the architecture need and return the result to users. Integrations are Based on the architectural model the grid intended to be transparent and seamless to the developer. topology is defined as specified in figure.2.This section The group is mainly responsible for two functions: the specifies the physical structure of campus grid and the management function of works and the management table provides various technologies can be used to build function of system adjustment. The work management the model for healthcare system. function include shading over interface, management interface and the parallel work management; the system VIII.2 Architectural Tradeoffs for Health grid management function includes system supervision, the resources allotment strategy, the management of works PRI and SLA The following table list the technologies available management. to enable the activity of each Component in the physical The Overall architecture is bounded by the Grid topological structure specified at figure 2. Management and criterion component that enables Grid www.ijmer.com 180 | Page
  • 4. International Journal of Modern Engineering Research (IJMER) www.ijmer.com Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182 ISSN: 2249-6645 Figure 2: Campus Grid Topology Structure The Globus Toolkit [10] has become widely IX.1 Trust and Acceptance from society. accepted as the standard tool for building grid architecture Trust is a very important element in any interaction and boasts success stories including GriPhyN [11], Open between the different members of a society. In the market Science Grid [12], TeraGrid [13], and NEES grid [14]. The context, trust is crucial for successful business to business Globus Toolkit provides identification, authentication, collaborations. Similarly, in a health grid domain a good authorization, and security for connecting the resources of collaboration will not be achieved unless a trust relationship the grid, as shown in Figure 2. The infrastructure allows for exists between the different users and stakeholders. Pilot strict local control of a given resource but still allows users projects and prototype applications, which are an inherent from anywhere to perform a variety of tasks related to part of the technology health grid, need to be future oriented resource and service discovery, file management, system and in the sense that the ultimate routine operation users have to job monitoring, and job submission. be persuaded both of their value and their applicability, i.e. their ability to fit into real clinical or research workflows. VIII.3 Health grid physical structure This has to be taken seriously from the very beginning, even Geographically the Hospitals, health centres and the in proof-of-technology demonstrators. The goal should medical institutions are situated at different places. This always be to give users, especially clinicians, tools that they paper designed a topological structure to establish and to would consider using with patients in real healthcare show the communication manner in between the layers.There situations. Trust and acceptance can be greatly enhanced by is a control node which logically controls the grid the establishment of appropriate ethics committee structures environment to which the other health nodes are connected to advice on the observance of ethical principles. by network structure. Web portal for the Health grid is enabling the raw and processed information. IX. 2 Cross-Organisational Interoperability. The Grid network is connected to internet provided The effective deployment of knowledge grids will crucially with grid security. The network routers are routing the depend on collaboration between institutions, meaning more requests and responses in between the nodes. than “simple” access to each others‟ data and computing resources. This collaboration requires the utilization of IX. Socio-economic recommendations human resources and in some cases a significant strategic re- This section discusses the socio economic orientation and re-organisation of working processes and requirement for the successful development and even management structures. Particular attention should be implementation of campus grid for health centres and given to flexibility of government regulated budgets and medical institutions across Kattankulathur region and in reimbursement schemes. future across the country. X. Future work and Conclusion In this paper, the architectural model has been designed and the technologies can be used to deploy the system are stated. The security establishment for campus grid www.ijmer.com 181 | Page
  • 5. International Journal of Modern Engineering Research (IJMER) www.ijmer.com Vol.3, Issue.1, Jan-Feb. 2013 pp-178-182 ISSN: 2249-6645 is analysed from distributed systems security and developed Multi Conference on Systemic, Cybernetics and Informatics, for this system. Implementing the campus grid for the Or-lando, Florida, 2002. hospitals helps to utilize the man power and other [9] The GridPort Toolkit, October 2005, http://gridport.net. computational and medical devices effectively across the [10] Altair PBS Professional, October 2005, http://www.altair.com/software/pbspro.htm country and across the universe through different exclusive [11] IBM LoadLeveler, October 2005, http://www- architectures. The future work of this paper could be actual 03.ibm.com/servers/eserver/clusters/software/loadleveler.htm implementation in such a way that generating clusters, l. development of forms, reports along with the data and [12] Computing Center Software, October 2005, establish resource security. United Kingdom [3] started the http://wwwcs.upb.de/pc2/projects/ccs. development of health grid on 2002 itself. Though the noise [13] The Globus Toolkit, October 2005, of health grid echoes in India, there is no architectural model http://globus.org/toolkit/about.html. available for health grid as of now. The main advantage of [14] Grid Physics Network, October 2005, this model is the cost effectiveness. http://www.griphyn.org. [15] Open Science Grid, October 2005, http://www.opensciencegrid.org. References [16] TeraGrid, October 2005, http://www.teragrid.org. JOURNALS [17] NEESgrid, October 2005, http://www.neesgrid.org. [1] Jing Wang 1, Zhimin Yang1, Weili Kou11 Department of [18] Condor-C, October 2005, Computing, Shandong University, Weihai, P.R, China,” A http://cs.wisc.edu/condor/manual/v6.7.8/5_4Condor_C.html Solution for Building Campus Grid”, IEEE Transactions. [19] GridLab: A Grid Application Toolkit and Testbed, October [2] Mark Olive, Hanene Rahmouni and Tony Solomonides, “A 2005, http://gridlab.org. European Healthgrid “,Journal of Medical Internet research, [21] Sun ONE Portal Server,November 2005, European Commission, Information Society and Media. http://docs.sun.com/app/docs/coll/S1_PortalServer_61. THESES [22] Research and technology development on telematics systems [3] Research and technology development on telematics systems in health care. Annual technical report on RTD in health care. in health care. Annual technical report on RTD in health care. CEC DG XIII. Brussels: AIM, 1993. CEC DG XIII. Brussels: AIM, 1993. [23] e-Science talk project [4] e-Science talk project www.gridtalk.org/Documents/ehealth.pdf www.gridtalk.org/Documents/ehealth.pdf CONFERENCE PROCEEDINGS [5] Krishna Nadiminti and Rajkumar Buyya, The University of Melbourne, “Enterprise Grid computing: State-of-the-Art”, 2009, Computer Science-Technology and Applications, 2009. Proceedings of IFCSTA '09. V1, PP160 – 163 [6] V. Welch, T. Barton, K. Keahey, and F. Siebenlist, "Attributes, Anonymity, and Access: Shibboleth and Globus Integration to Facilitate Grid Collaboration," presented at 4th Annual PKI R&D Workshop, Gaithersburg, MD, 2005. URLs [7] OpenPBS, October 2005, http://www.openpbs.org. [8] T. Naughton and S. L. Scott, "The Penguin in the Pail - OSCAR Cluster Installation Tool," presented at 6th World www.ijmer.com 182 | Page