Distributed computing is a field of computer science that studies distributed systems. A distribu... more Distributed computing is a field of computer science that studies distributed systems. A distributed system consists of multiple autonomous computers that communicate through a computer network. The computers interact with each other in order to achieve a common goal. A computer program that runs in a distributed system is called a distributed program, and distributed programming is the process of writing such programs .There are several autonomous computational entities, each of which has its own local memory. • The entities communicate with each other by message passing. • The system has to tolerate failures in individual computers. • The structure of the system is not known in advance, the system may consist of different kinds of computers and network links, and the system may change during the execution of a distributed program. • Each computer has only a limited, incomplete view of the system. Each computer may know only one part of the input. Parallel processing is simultaneous use of more than one CPU or processor core to execute a program or multiple computational threads. In practice, it is often difficult to divide a program in such a way that separate CPUs or cores can execute different portions without interfering with each other. Most computers have just one CPU, but some models have several, and multi-core processor chips are becoming the norm. There are even computers with thousands of CPUs.With single-CPU, single-core computers, it is possible to perform parallel processing by connecting the computers in a network. However, this type of parallel processing requires very sophisticated software called distributed processing software. In parallel computing, all processors may have access to a shared memory to exchange information between processors. • In distributed computing, each processor has its own private memory (distributed memory). Information is exchanged by passing messages between the processors. • Distributed computing has to be less bandwidth intensive. Therefore, the tasks have to be fewer codependents. • Parallel processing is faster and has higher bandwidth between nodes, but is harder to scale.
1 . Lecturer, Department of Computer Technology, AITP, Vita, Sangli, Maharashtra, India. 2. Assis... more 1 . Lecturer, Department of Computer Technology, AITP, Vita, Sangli, Maharashtra, India. 2. Assistant Professor, Department of Computer Engineering, F IT, Khopi, Pune, Maharashtra, India. ---------------------------------------------------------------------***-------------------------------------------------------------------Abstract Distributed computing is developing as a common information intuitive worldview to understand client's information remotely put away in an online cloud server. Cloud administrations give extraordinary comforts to the clients to appreciate the on-request cloud applications without considering the neighborhood foundation confinements. Amid the information getting to, various clients might be in a community oriented relationship, and consequently information sharing winds up noticeably critical to accomplish profitable advantages. Be that as it may, security and protection issues are getting to be noticeably enter worries in information sharing among t...
International Journal of Mechanical Engineering and Information Technology, 2015
To the impressed observer, engineering today seems to be challenged (and driven) by technological... more To the impressed observer, engineering today seems to be challenged (and driven) by technological progress and quantitative growth. Among the technological progress challenges area unit advances in sub-micron and system-on-a-chip styles, novel communication technologies, microelectrode mechanical systems, Nano and materials sciences. The Brobdingnag Ian permeation of world networks over the past years, the growing convenience of wireless communication technologies within the wide, native and private space, and therefore the evolving omnipresent use of mobile and embedded data and communication technologies area unit examples the challenges in pc systems analysis display by the rising field of pervasive computing..we have a tendency to understand a shift from the "one person with one computer" paradigm, that is predicated on express man machine interaction, towards a omnipresent and pervasive computing landscape, within which implicit interaction and cooperation is that the primary mode of pc supported activity. This modificationpopularly named as "Pervasive Computing"poses serious challenges to the abstract architectures of computing, and therefore the connected engineering disciplines in engineering. During this work, i will be able to mirror on a number of the rising pervasive and omnipresent computing trends and potentials, and particularly on the code engineering problems related to the supply of context aware systems.
Distributed computing is developing as a common information intuitive worldview to understand cli... more Distributed computing is developing as a common information intuitive worldview to understand client's information remotely put away in an online cloud server. Cloud administrations give extraordinary comforts to the clients to appreciate the on-request cloud applications without considering the neighborhood foundation confinements. Amid the information getting to, various clients might be in a community oriented relationship, and consequently information sharing winds up noticeably critical to accomplish profitable advantages. Be that as it may, security and protection issues are getting to be noticeably enter worries in information sharing among the different clients in distributed storage. Keeping in mind the end goal to maintain a strategic distance from every one of these things, a framework is proposed in which a common specialist based protection saving confirmation convention (SecCloud) to explain protection and security issue for distributed storage and SecCloud+ is utilized for expelling information deduplication.
International Journal for Research in Applied Science and Engineering Technology
Cloud computing is rising as a prevailing information interactive paradigm to appreciate users in... more Cloud computing is rising as a prevailing information interactive paradigm to appreciate users information remotely keep in an internet cloud server. Cloud services offer nice conveniences for the users to fancy the on-demand cloud applications while not considering the native infrastructure limitations. throughout the information accessing, completely different users is also in a very cooperative relationship, and so information sharing becomes important to attain productive edges. however security and privacy problems have become key considerations in information sharing among the multiple users in cloud storage. so as to avoid of these things, a system is projected during which a shared authority primarily based privacy-preserving authentication protocol (SecCloud) to resolve privacy and security issue for cloud storage..
A database is a collection of data, typically describing the activities of one or more related or... more A database is a collection of data, typically describing the activities of one or more related organizations. For example, a university database might contain information about the following:
Users can share devices such as printers, scanners, CD-ROM drives, hard drives etc. Without compu... more Users can share devices such as printers, scanners, CD-ROM drives, hard drives etc. Without computer networks, device sharing is not possible. 2. File sharing: Networking of computers helps the network users to share data files.
Distributed computing is a field of computer science that studies distributed systems. A distribu... more Distributed computing is a field of computer science that studies distributed systems. A distributed system consists of multiple autonomous computers that communicate through a computer network. The computers interact with each other in order to achieve a common goal. A computer program that runs in a distributed system is called a distributed program, and distributed programming is the process of writing such programs .There are several autonomous computational entities, each of which has its own local memory. • The entities communicate with each other by message passing. • The system has to tolerate failures in individual computers. • The structure of the system is not known in advance, the system may consist of different kinds of computers and network links, and the system may change during the execution of a distributed program. • Each computer has only a limited, incomplete view of the system. Each computer may know only one part of the input. Parallel processing is simultaneous use of more than one CPU or processor core to execute a program or multiple computational threads. In practice, it is often difficult to divide a program in such a way that separate CPUs or cores can execute different portions without interfering with each other. Most computers have just one CPU, but some models have several, and multi-core processor chips are becoming the norm. There are even computers with thousands of CPUs.With single-CPU, single-core computers, it is possible to perform parallel processing by connecting the computers in a network. However, this type of parallel processing requires very sophisticated software called distributed processing software. In parallel computing, all processors may have access to a shared memory to exchange information between processors. • In distributed computing, each processor has its own private memory (distributed memory). Information is exchanged by passing messages between the processors. • Distributed computing has to be less bandwidth intensive. Therefore, the tasks have to be fewer codependents. • Parallel processing is faster and has higher bandwidth between nodes, but is harder to scale. KEYWORDS: Distributed Computing, Parallel Computing, CPU
To the impressed observer, engineering today seems to be challenged (and driven) by technological... more To the impressed observer, engineering today seems to be challenged (and driven) by technological progress and quantitative growth. Among the technological progress challenges area unit advances in sub-micron and system-on-a-chip styles, novel communication technologies, microelectrode mechanical systems, Nano and materials sciences. The Brobdingnag Ian permeation of world networks over the past years, the growing convenience of wireless communication technologies within the wide, native and private space, and therefore the evolving omnipresent use of mobile and embedded data and communication technologies area unit examples the challenges in pc systems analysis display by the rising field of pervasive computing..we have a tendency to understand a shift from the “one person with one computer” paradigm, that is predicated on express man machine interaction, towards a omnipresent and pervasive computing landscape, within which implicit interaction and cooperation is that the primary mode of pc supported activity. This modification – popularly named as “Pervasive Computing” – poses serious challenges to the abstract architectures of computing, and therefore the connected engineering disciplines in engineering. During this work, i will be able to mirror on a number of the rising pervasive and omnipresent computing trends and potentials, and particularly on the code engineering problems related to the supply of context aware systems. Keyword:- Pervasive, Ubiquitous, Computing.
Uploads
Papers by virendra thoke
of multiple autonomous computers that communicate through a computer network. The computers interact with each
other in order to achieve a common goal. A computer program that runs in a distributed system is called a
distributed program, and distributed programming is the process of writing such programs .There are several
autonomous computational entities, each of which has its own local memory.
• The entities communicate with each other by message passing.
• The system has to tolerate failures in individual computers.
• The structure of the system is not known in advance, the system may consist of different kinds of
computers and network links, and the system may change during the execution of a distributed program.
• Each computer has only a limited, incomplete view of the system. Each computer may know only one part
of the input.
Parallel processing is simultaneous use of more than one CPU or processor core to execute a program or multiple
computational threads. In practice, it is often difficult to divide a program in such a way that separate CPUs or cores
can execute different portions without interfering with each other. Most computers have just one CPU, but some
models have several, and multi-core processor chips are becoming the norm. There are even computers with
thousands of CPUs.With single-CPU, single-core computers, it is possible to perform parallel processing by
connecting the computers in a network. However, this type of parallel processing requires very sophisticated
software called distributed processing software.
In parallel computing, all processors may have access to a shared memory to exchange information between
processors.
• In distributed computing, each processor has its own private memory (distributed memory).
Information is exchanged by passing messages between the processors.
• Distributed computing has to be less bandwidth intensive. Therefore, the tasks have to be fewer codependents.
• Parallel processing is faster and has higher bandwidth between nodes, but is harder to scale.
KEYWORDS: Distributed Computing, Parallel Computing, CPU
and quantitative growth. Among the technological progress challenges area unit advances in sub-micron and
system-on-a-chip styles, novel communication technologies, microelectrode mechanical systems, Nano and
materials sciences. The Brobdingnag Ian permeation of world networks over the past years, the growing
convenience of wireless communication technologies within the wide, native and private space, and therefore
the evolving omnipresent use of mobile and embedded data and communication technologies area unit
examples the challenges in pc systems analysis display by the rising field of pervasive computing..we have a
tendency to understand a shift from the “one person with one computer” paradigm, that is predicated on
express man machine interaction, towards a omnipresent and pervasive computing landscape, within which
implicit interaction and cooperation is that the primary mode of pc supported activity. This modification –
popularly named as “Pervasive Computing” – poses serious challenges to the
abstract architectures of computing, and therefore the connected engineering disciplines in engineering. During
this work, i will be able to mirror on a number of the rising pervasive and omnipresent computing trends and
potentials, and particularly on the code engineering problems related to the supply of context aware systems.
Keyword:- Pervasive, Ubiquitous, Computing.