Distributed Computing Projects for Students

Distributed Computing Projects for Students

The word distributed computing denotes the capacity of multiple machines to function together rather than a single one. To execute a task coherently, it is divided into multiple sub-tasks and run on several machines, which when combined gives the final complete result. Consequently, the distributed computing of computers represents an integration of multiple computers which appears to the user as one reasonable system. On the whole, distributed computing projects for students are gaining great significance all around the world.

Outline of Distributed Computing 

 The distributed system of learning provides for remote delivery of instructions which include the following

  • Video conferencing and web-based content delivery
  • Model of electronics and educational practices
  • Live video streaming 

In this article, you will get a complete picture of distributed computing where we will start with its types

Distributed computing system types

  • Distributed pervasive systems
    • Home systems and sensor networks
    • Electronic based health
  • Distributed information system
    • Enterprise Application Integration and Transaction Processing Systems
  • Distributed computing systems 
    • Cluster and grid computing

We will now look into the working of distributed computing networks,

How distributed computing works?

  • Distributed computing systems consist of multiple machines that have the capacity of being connected as a network, message communication, and local memory
  • Workloads and appropriate requests are spread across the entire system and so the system can provide support for multiple requests and perform any kind of job computations compared to a dedicated system
  • Edge computation containers of the StackPath and the virtual machines are interconnected to form the super-fast distributed system

For detailed descriptions of various steps involved in the working of distributed computing networks, you can check out our website. With about 15 years of research experience in distributed computing projects for students, our experts have been rendering full support to develop novel and innovative ideas as real-time implementable projects on all these types of distributed computing systems. The following are the different components of the distributed computing system,

  • Task pre-processor
    • Task factor coupling and attribute size
    • Task attributes
  • Allocation model
    • Minimal cost and load balance
    • Requirements of applications
  • Simulator for application system
    • Result in allocation verification
    • Network and application task simulation
  • Network pre-processor
    • Distance of the inter processors
    • Processor attribute bounds

Determination of various properties, characteristics, and their associated values of all these components of a distributed computing system, you shall talk to our experts at any time. You can get confidential research support on these technicalities from our research team which has got more than 20 years of experience in distributed computing projects for students. We will now talk about the efficiency of distributed systems

How distributed systems are efficient?

  • Reliability 
    • Because they can generally be built up of multiple nodes which operate collaboratively, many distributed systems seem to be fault-tolerant. 
    • When a particular machine fails, then the system itself is usually unaffected.
  • Latency 
    • Message transmission time requirement is called latency
  • Bandwidth
    • Stable state amount of data transmission per unit time is called bandwidth
  • Performance 
    • Since workloads may be split up as well as transferred to several computers, distributed systems become tremendously productive
  • Scalability
    • Since computing takes place discretely on every node, adding more nodes and capabilities as needed is simple and affordable.

For all these reasons distributed computing is accepted to be highly efficient and has now become one of the fastest-growing areas of research. Are you looking for customized support for your distributed computing projects? Then you are at the right place. In the following section, you will get a complete picture of distributed computing

A complete picture of distributed computing

  • Computing
    • Batch, distributed and graphics computing
    • Streams and parallelized computing
    • Cloud and grid computing
  • Database
    • Structured and unstructured databases
    • NoSQL, HBase, and Query
    • Columnar database
  • Management
    • Data placement management
    • Resource and cloud computation
    • Dynamic, cluster, and VMs management 
  • File system
    • Scalable and parallel virtual file system
    • In – memory and Google file system
    • Optimization and distributed monitoring system
  • Hadoop_based platform
    • DFS, Hive, and scaling
    • YARN and Deploying 
    • Name and data node
  • IDE Tools
    • Visualization and analytics
    • Simulators, predictors, and statistical tools
  • Algorithm
    • Supervised learning and MapReduce
    • Mining and scheduling
    • Unsupervised learning
  • Dataset
    • Data integration and placement
    • Modelling and distribution of data
    • Synchronous and asynchronous data
    • Replacement of data

As of now, we have seen the important aspects and their associated characteristics in distributed computing systems. You can get complete technical explanations, notes, and descriptions on these technicalities, once you get in touch with our experts. Reach us for top 10 research topics in parallel and distributed computing. We will now look into the issues in distributed computing

Open issues of distributed computing

  • Encryption
    • The necessity for encryption and reducing the power consumption are always at loggerheads
    • A powerful and effective solution is needed in case of the following issues related to encryption
    • Data sensitivity (to be air sniffed)
    • Reducing demands over host systems
  • Computing
    • Novel resources and advances to distributed computation models are required in case of large data volumes and the internet of things
    • The issues related to computing include the following
    • Increased bandwidth demand
    • Traffic analysis for security purposes
  • Network Security
    • Establishing a secure connection, Network authentication and IoT communication security are the important aspects of distributed computing systems
    • The security issues in distributed computing consist of the following
    • Untrusted device access
    • Infrastructure attacks
  • Addressing
    • IP based device identification and addressing when other devices are involved in the connection, require novel approaches
    • The addressing issues in distributed computing systems are the following
    • Huge device volumes being addressed
    • Existing addressing compatibility

Usually, our experts provide you with proven techniques and approaches to overcome these issues and challenges in distributed computing research. With references from top journals and standard books along with updated details from benchmark references, we can provide authentic and reliable research data to our customers, based on which they can make successful projects overcoming these issues efficiently. Let us now look into the aspects in which distributed computing is considered to be powerful

What makes distributed computing powerful?

  • Increased speed of computation
    • The speed of multiple computers are combined in a distributed computer system and hence it becomes faster
  • Scalability
    • Any number of Machines can be added to a distributed computing system, therefore, making it highly scalable
  • Flexible nature 
    • Implementation, installation, and debugging of new services becomes easier in distributed computing

These are the reasons behind the most appreciated powerful features of distributed computing. For all these aspects you can get practical demonstrations and explanations from our engineers as a result of which you can get better perceptions and advanced solutions to many of the prevailing research questions in distributed computing. What are the top project ideas in distributed computing?

Top 4 Research Ideas for distributed Computing projects for Students

Top 4 project ideas in distributed computing projects for students

  • Enhancing security features and data protection in distributed computing
  • Self-stabilization and organization along with fault tolerance and reliability in distributed computing
  • Complex nature of results and hypothetical conclusions in distributed systems
  • Scheduling and distributed management of resources 

At present, our experts are working on all these topics and so you can get ultimate research guidance on any of these topics from us. By incorporating the latest technologies and advancements all these project ideas in distributed computing have gained huge significance. Let us now look into detail about the research aspects of security in distributed computing

Security in distributed computing

We have guided an ample number of projects in establishing security and enhancing privacy protection in distributed computing projects for students. In this regard, we have addressed a few of the important frequently asked questions concerning security in distributed computing below

Why security is important in a distributed system?

  • Preserving the secrecy of data during data storage and transmission is important
  • The safety elements and information confidentiality have to be preserved in network security architecture
  • Authenticated and highly reliable access to computing resources must be insured

 As a result of all these aspects ensuring security in distributed computing has become one of the prominent research areas in distributed computing. Let us now talk more about the security threats in distributed systems

What are security threats in distributed systems explain?

The following are the major security threats in a distributed computing system

  • Eavesdropping – illegal access to secret 
  • Tampering messages – altering message content
  • Masquerading – user identity assumption
  • Message replays and Denial of services

These threats and other security-related concerns in distributed computing have been faced by our experts and we have also devised appropriate solutions to them. Contact our technical team for more information and to get your queries solved regarding the security aspects of distributed computing. We will now talk about the mechanism involved in ensuring security in distributed computing. 

What are the security mechanisms used in distributed computing?

  • Cryptography
    • Cryptography is the technique through which data is transferred in an unreadable and secret format
    • Single and public-key cryptographic algorithms or used in the secret transmission of messages in the form of packets
    • Blowfish, RSA, and AES algorithms are used for cryptography 
  • Authentication protocols
    • Communication procedure among system users and communication processing security servers are provided by authentication protocols
    • Authentication of public keys and password are used for authentication protocols
  • Mechanism for controlling access
    • Access control lists consisting of object lists and rights are the aspects of access control mechanisms
    • It is executed directly or is approximated in the latest operating systems
    • Access control lists are the examples of Authorization

On our website, we have also provided great explanations on the mechanism and principle involved in distributed computing projects for students. You can approach us for any kind of assistance regarding distributed computing projects which include topic selection, technical design, implementation in real-time, and many more. Let us now look into the recent distributed computing technologies below

Latest technologies in distributed computing

  • Edge computing (network edge calculation)
  • Hyperscale computing (Large data load balancing)
  • Serverless computing (Basis of modern cloud computing model)
  • Fog computing (IoT cloud-based decentralized approach)
  • CAP theorem (Partition tolerance, availability, and consistency)

Our technical experts stay up to date on such latest advancements to provide our customers with high-quality project support. A massive source of reliable research data can be obtained once you get in touch with us. We shall now see about the emerging platforms in distributed computing

Emerging platforms for distributed computing

  • DW and SQL (Import.io and Any SQL DB and SQL DW)
  • Hadoop (Apache Hadoop and Cloudera, Spark, and Hortoworks)
  • Clusters (Mesos, MPI Power8, Yarn, LSF, and Sungrid Engine)
  • No SQL (Cassandra, Mongo DB and DataStax)
  • Files (Trifacta, Import.io, and Microsoft Excel)
  • Servers (Windows OSX and Linux)
  • GPUs and HIGH-END Workstations (Windows NVIDIA, Windows AMD, and Windows X86 or ARM and Linux)

These are the major emerging technologies associated with distributed computing research. Feel free to talk to our experts regarding the latest technologies, recent trends, and emerging platforms associated with all topics of distributed computing projects for students. We will provide you with the most trusted and scam-free customized research support functioning 24/7. 

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
RTOOL 13 15 8
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
VIRL 9 9 8
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
ONESIM 5 10 5
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9

Related Pages


YouTube Channel

Unlimited Network Simulation Results available here.