Distributed systems and parallel computing

No matter how powerful individual computers become, there are still reasons to harness the power of multiple computational units, often spread across large geographic areas. Sometimes this is motivated by the need to collect data from widely dispersed locations (e.g., web pages from servers, or sensors for weather or traffic). Other times it is motivated by the need to perform enormous computations that simply cannot be done by a single CPU.

From our company’s beginning, Google has had to deal with both issues in our pursuit of organizing the world’s information and making it universally accessible and useful. We continue to face many exciting distributed systems and parallel computing challenges in areas such as concurrency control, fault tolerance, algorithmic efficiency, and communication. Some of our research involves answering fundamental theoretical questions, while other researchers and engineers are engaged in the construction of systems to operate at the largest possible scale, thanks to our hybrid research model .

Recent publications

While profile guided optimizations (PGO) and link time op-timizations (LTO) have been widely adopted, post link optimizations (PLO) have languished until recently when re-searchers demonstrated that late injection of profiles can yield significant improvements. However, the disassembly-driven, monolithic design of post link optimizers face scalingchallenges with large binaries and is at odds...

David Li , Han Shen , Krzysztof Pszeniczny , Rahman Lavaee , Snehasish Kumar , Sriraman Madapusi Tallam

We describe our experience with PLB, a host-based load balancing design for modern networks. PLB randomly changes the paths of connections that experience congestion, preferring idle periods to minimize transport interactions. It does so by changing the IPv6 FlowLabel on the packets of a connection, which switches include as part of the ECMP flow hash. Across many hosts, this action drives down...

Abdul Kabbani , David J. Wetherall , Gautam Kumar , Junhua Yan , Kira Yin , Masoud Moshref , Mubashir Adnan Qureshi , Qiaobin Fu , Van Jacobson , Yuchung Cheng

SIGCOMM (2022)

Numerical simulation often resorts to iterative in-place stencils such as the Gauss-Seidel or Successive Overrelaxation (SOR) methods. Writing high performance implementations of such stencils requires significant effort and time; it also involves non-local transformations beyond the stencil kernel itself. While automated code generation is a mature technology for image processing stencils,...

Mohammed Essadki , Bertrand Michel , Bruno Maugars , Oleksandr Zinenko , Nicolas Vasilache , Albert Cohen

CGO , IEEE (2023)

Receiving the 2020 ACM-IEEE Eckert-Mauchly Award this past June was among the most rewarding experiences of my career. I am grateful to IEEE Micro for giving me the opportunity to share here the story behind the work that led to this award, a short version of my professional journey so far, as well as a few things I learned along the way.

Luiz André Barroso

IEEE Micro , vol. 41(02) (2021) , pp. 78-83

This book describes warehouse-scale computers (WSCs), the computing platforms that power cloud computing and all the great web services we use every day. It discusses how these new systems treat the datacenter itself as one massive computer designed at warehouse scale, with hardware and software working in concert to deliver good levels of internet service performance. The book details the...

Luiz André Barroso , Urs Hölzle , Parthasarathy Ranganathan

Morgan & Claypool Publishers (2018)

Some of our teams

Ai fundamentals and applications, algorithms and optimization, graph mining, network infrastructure, system performance, our researchers work across the world.

Together, our research teams tackle tough problems.

CS 261: Research Topics in Operating Systems (2021)

Some links to papers are links to the ACM’s site. You may need to use the Harvard VPN to get access to the papers via those links. Alternate links will be provided.

Meeting 1 (1/26): Overview

Operating system architectures, meeting 2 (1/28): multics and unix.

“Multics—The first seven years” , Corbató FJ, Saltzer JH, and Clingen CT (1972)

“Protection in an information processing utility” , Graham RM (1968)

“The evolution of the Unix time-sharing system” , Ritchie DM (1984)

Additional resources

The Multicians web site for additional information on Multics, including extensive stories and Multics source code.

Technical: The Multics input/output system , Feiertag RJ and Organick EI, for a description of Multics I/O to contrast with Unix I/O.

Unix and Multics , Tom Van Vleck.

… I remarked to Dennis that easily half the code I was writing in Multics was error recovery code. He said, "We left all that stuff out. If there's an error, we have this routine called panic() , and when it is called, the machine crashes, and you holler down the hall, 'Hey, reboot it.'"

The Louisiana State Trooper Story

The IBM 7094 and CTSS

This describes the history of the system that preceded Multics, CTSS (the Compatible Time Sharing System). It also contains one of my favorite stories about the early computing days: “IBM had been very generous to MIT in the fifties and sixties, donating or discounting its biggest scientific computers. When a new top of the line 36-bit scientific machine came out, MIT expected to get one. In the early sixties, the deal was that MIT got one 8-hour shift, all the other New England colleges and universities got a shift, and the third shift was available to IBM for its own use. One use IBM made of its share was yacht handicapping: the President of IBM raced big yachts on Long Island Sound, and these boats were assigned handicap points by a complicated formula. There was a special job deck kept at the MIT Computation Center, and if a request came in to run it, operators were to stop whatever was running on the machine and do the yacht handicapping job immediately.”

Using Ring 5 , Randy Saunders.

"All Multics User functions work in Ring 5." I have that EMail (from Dave Bergum) framed on my wall to this date. … All the documentation clearly states that system software has ring brackets of [1,5,5] so that it runs equally in both rings 4 and 5. However, the PL/I compiler creates segments with ring brackets of [4,4,4] by default. … I found each and every place CNO had fixed a program without resetting the ring brackets correctly. It started out 5 a day, and in 3 months it was down to one a week.”

Bell Systems Technical Journal 57(6) Part 2: Unix Time-sharing System (July–August 1978)

This volume contains some of the first broadly-accessible descriptions of Unix. Individual articles are available on archive.org . As of late January 2021, you can buy a physical copy on Amazon for $2,996. Interesting articles include Thompson on Unix implementation, Ritchie’s retrospective, and several articles on actual applications, especially document preparation.

Meeting 3 (2/2): Microkernels

“The nucleus of a multiprogramming system” , Brinch Hansen P (1970).

“Toward real microkernels” , Liedtke J (1996).

“Are virtual machine monitors microkernels done right?” , Hand S, Warfield A, Fraser K, Kotsovinos E, Magenheimer DJ (2005).

Supplemental reading

“Improving IPC by kernel design” , Liedtke J (1993). Article introducing the first microbenchmark-performant microkernel.

“Are virtual machine monitors microkernels done right?” , Heiser G, Uhlig V, LeVasseur J (2006).

“From L3 to seL4: What have we learnt in 20 years of L4 microkernels?” , Elphinstone K, Heiser G (2013).

Retained: Minimality as key design principle. Replaced: Synchronous IPC augmented with (seL4, NOVA, Fiasco.OC) or replaced by (OKL4) asynchronous notification. Replaced: Physical by virtual message registers. Abandoned: Long IPC. Replaced: Thread IDs by port-like IPC endpoints as message destinations. Abandoned: IPC timeouts in seL4, OKL4. Abandoned: Clans and chiefs. Retained: User-level drivers as a core feature. Abandoned: Hierarchical process management. Multiple approaches: Some L4 kernels retain the model of recursive address-space construc- tion, while seL4 and OKL4 originate mappings from frames. Added: User-level control over kernel memory in seL4, kernel memory quota in Fiasco.OC. Unresolved: Principled, policy-free control of CPU time. Unresolved: Handling of multicore processors in the age of verification. Replaced: Process kernel by event kernel in seL4, OKL4 and NOVA. Abandoned: Virtual TCB addressing. … Abandoned: C++ for seL4 and OKL4.

Meeting 4 (2/4): Exokernels

“Exterminate all operating systems abstractions” , Engler DE, Kaashoek MF (1995).

“Exokernel: an operating system architecture for application-level resource management” , Engler DE, Kaashoek MF, O’Toole J (1995).

“The nonkernel: a kernel designed for the cloud” , Ben-Yehuda M, Peleg O, Ben-Yehuda OA, Smolyar I, Tsafrir D (2013).

“Application performance and flexibility on exokernel systems” , Kaashoek MF, Engler DR, Ganger GR, Briceño HM, Hunt R, Mazières D, Pinckney T, Grimm R, Jannotti J, Mackenzie K (1997).

Particularly worth reading is section 4, Multiplexing Stable Storage, which contains one of the most overcomplicated designs for stable storage imaginable. It’s instructive: if your principles end up here, might there be something wrong with your principles?

“Fast and flexible application-level networking on exokernel systems” , Ganger GR, Engler DE, Kaashoek MF, Briceño HM, Hunt R, Pinckney T (2002).

Particularly worth reading is section 8, Discussion: “The construction and revision of the Xok/ExOS networking support came with several lessons and controversial design decisions.”

Meeting 5 (2/9): Security

“EROS: A fast capability system” , Shapiro JS, Smith JM, Farber DJ (1999).

“Labels and event processes in the Asbestos operating system” , Vandebogart S, Efstathopoulos P, Kohler E, Krohn M, Frey C, Ziegler D, Kaashoek MF, Morris R, Mazières D (2007).

This paper covers too much ground. On the first read, skip sections 4–6.

Meeting 6 (2/11): I/O

“Arrakis: The operating system is the control plane” (PDF) , Peter S, Li J, Zhang I, Ports DRK, Woos D, Krishnamurthy A, Anderson T, Roscoe T (2014)

“The IX Operating System: Combining Low Latency, High Throughput, and Efficiency in a Protected Dataplane” , Belay A, Prekas G, Primorac M, Klimovic A, Grossman S, Kozyrakis C, Bugnion E (2016) — read Sections 1–4 first (return to the rest if you have time)

“I'm Not Dead Yet!: The Role of the Operating System in a Kernel-Bypass Era” , Zhang I, Liu J, Austin A, Roberts ML, Badam A (2019)

Meeting 7 (2/16): Speculative designs

From least to most speculative:

“Unified high-performance I/O: One Stack to Rule Them All” (PDF) , Trivedi A, Stuedi P, Metzler B, Pletka R, Fitch BG, Gross TR (2013)

“The Case for Less Predictable Operating System Behavior” (PDF) , Sun R, Porter DE, Oliveira D, Bishop M (2015)

“Quantum operating systems” , Corrigan-Gibbs H, Wu DJ, Boneh D (2017)

“Pursue robust indefinite scalability” , Ackley DH, Cannon DC (2013)

Meeting 8 (2/18): Log-structured file system

“The Design and Implementation of a Log-Structured File System” , Rosenblum M, Ousterhout J (1992)

“Logging versus Clustering: A Performance Evaluation”

Meeting 9 (2/23): Consistency

“Generalized file system dependencies” , Frost C, Mammarella M, Kohler E, de los Reyes A, Hovsepian S, Matsuoka A, Zhang L (2007)

“Application crash consistency and performance with CCFS” , Sankaranarayana Pillai T, Alagappan R, Lu L, Chidambaram V, Arpaci-Dusseau AC, Arpaci-Dusseau RH (2017)

Meeting 10 (2/25): Transactions and speculation

“Rethink the sync” , Nightingale EB, Veeraraghavzn K, Chen PM, Flinn J (2006)

“Operating system transactions” , Porter DE, Hofmann OS, Rossbach CJ, Benn E, Witchel E (2009)

Meeting 11 (3/2): Speculative designs

“Can We Store the Whole World's Data in DNA Storage?”

“A tale of two abstractions: The case for object space”

“File systems as processes”

“Preserving hidden data with an ever-changing disk”

More, if you’re hungry for it


Meeting 14 (3/11): virtual machines and containers.

“Xen and the Art of Virtualization” , Barham P, Dragovic B, Fraser K, Hand S, Harris T, Ho A, Neugebauer R, Pratt I, Warfield A (2003)

“Blending containers and virtual machines: A study of Firecracker and gVisor” , Anjali, Caraz-Harter T, Swift MM (2020)

Meeting 15 (3/18): Virtual memory and virtual devices

“Memory resource management in VMware ESX Server” , Waldspurger CA (2002)

“Opportunistic flooding to improve TCP transmit performance in virtualized clouds” , Gamage S, Kangarlou A, Kompella RR, Xu D (2011)

Meeting 16 (3/23): Speculative designs

“The Best of Both Worlds with On-Demand Virtualization” , Kooburat T, Swift M (2011)

“The NIC is the Hypervisor: Bare-Metal Guests in IaaS Clouds” , Mogul JC, Mudigonda J, Santos JR, Turner Y (2013)

“vPipe: One Pipe to Connect Them All!” , Gamage S, Kompella R, Xu D (2013)

“Scalable Cloud Security via Asynchronous Virtual Machine Introspection” , Rajasekaran S, Ni Z, Chawla HS, Shah N, Wood T (2016)

Distributed systems

Meeting 17 (3/25): distributed systems history.

“Grapevine: an exercise in distributed computing” , Birrell AD, Levin R, Schroeder MD, Needham RM (1982)

“Implementing remote procedure calls” , Birrell AD, Nelson BJ (1984)

Skim : “Time, clocks, and the ordering of events in a distributed system” , Lamport L (1978)

Meeting 18 (3/30): Paxos

“Paxos made simple” , Lamport L (2001)

“Paxos made live: an engineering perspective” , Chanra T, Griesemer R, Redston J (2007)

“In search of an understandable consensus algorithm” , Ongaro D, Ousterhout J (2014)

Meeting 19 (4/1): Review of replication results

Meeting 20 (4/6): project discussion, meeting 21 (4/8): industrial consistency.

“Scaling Memcache at Facebook” , Nishtala R, Fugal H, Grimm S, Kwiatkowski M, Lee H, Li HC, McElroy R, Paleczny M, Peek D, Saab P, Stafford D, Tung T, Venkataramani V (2013)

“Millions of Tiny Databases” , Brooker M, Chen T, Ping F (2020)

Meeting 22 (4/13): Short papers and speculative designs

“Scalability! But at what COST?” , McSherry F, Isard M, Murray DG (2015)

“What bugs cause production cloud incidents?” , Liu H, Lu S, Musuvathi M, Nath S (2019)

“Escape Capsule: Explicit State Is Robust and Scalable” , Rajagopalan S, Williams D, Jamjoom H, Warfield A (2013)

“Music-defined networking” , Hogan M, Esposito F (2018)

Meeting 23 (4/20): The M Group

“All File Systems Are Not Created Equal: On the Complexity of Crafting Crash-Consistent Applications” , Pillai TS, Chidambaram V, Alagappan R, Al-Kiswany S, Arpaci-Dusseau AC, Arpaci-Dusseau RH (2014)

“Crash Consistency Validation Made Easy” , Jiang Y, Chen H, Qin F, Xu C, Ma X, Lu J (2016)

Meeting 24 (4/22): NVM and Juice

“Persistent Memcached: Bringing Legacy Code to Byte-Addressable Persistent Memory” , Marathe VJ, Seltzer M, Byan S, Harris T

“NVMcached: An NVM-based Key-Value Cache” , Wu X, Ni F, Zhang L, Wang Y, Ren Y, Hack M, Shao Z, Jiang S (2016)

“Cloudburst: stateful functions-as-a-service” , Sreekanti V, Wu C, Lin XC, Schleier-Smith J, Gonzalez JE, Hellerstein JM, Tumanov A (2020)

Meeting 25 (4/27): Scheduling

Design and control of distributed computing systems (operating systems and database systems). Topics include principles of naming and location, atomicity, resource sharing, concurrency control and other synchronization, deadlock detection and avoidance, security, distributed data access and control, integration of operating systems and computer networks, distributed systems design, consistency control, and fault tolerance.

Note: Will not be offered through CEE due to low enrollment.

This course will be available in the Continuing Engineering Education program.--> A more detailed course description prepared for the CEE program is available, as is a course preview briefing containing more detailed information on requirements and expectations. The course outline is given below.

To provide additional support the CEE program, Professor Clifton will be available during office hours through H.323/T.120 desktop videoconferencing (e.g., SunForum , Microsoft NetMeeting .) Please send email if you wish to make use of this, or you might try opening an H.323 connection to blitz.cs.purdue.edu.

More course information may be available in WebCT ( direct link ).

Please add yourself to the course mailing list. Send mail to [email protected] containing the line:

add your email to cs603

Feel free to send things to the course mailing list if you feel it is appropriate. An example might be a pointer to a particularly helpful on-line manual describing an API used in one of the projects.

Course Methodology

The course will be taught through lectures, with class participation expected and encouraged. There will be frequent reading assignments to supplement the lectures.

For now, Professor Clifton will not have regular office hours. Feel free to drop by anytime, or send email with some suggested times to schedule an appointment. You can also try H.323/T.120 desktop videoconferencing (e.g., SunForum , Microsoft NetMeeting .) You can try opening an H.323 connection to blitz.cs.purdue.edu - send email if there is no response.


The official requirement is CS 503 (Operating systems), with CS 542 (Distributed Database systems) recommended. The practical requirement is a solid undergraduate background in computer science including some database and operating systems theory, and substantial programming experience. If you don't have 503, but feel you have sufficient background, please send me an explanation of why you feel you are prepared, along with a number/times for me to call and discuss approving your registration.

The following is recommended (it will be a useful reference for much of the lab work in the course):

Internetworking with TCP/IP Vol.III: Client-Server Programming and Applications, D. E. Comer and D. Stevens, Prentice Hall, (choose appropriate version for your favorite platform), 0-13-032071-4

The following have been recommended in the past, and may provided useful background reading. However, none are required.

Distributed Systems, 1993 Sape Mullender Prentice Hall 0-201-62427-3 Distributed Algorithms, 1997 Nancy Lynch Morgan Kaufmann 1-55860-348-4 Distributed Operating Systems, 1995 Tanenbaum Prentice Hall 0-13-219908-4


Evaluation will be a subjective process, however it will be based primarily on your understanding of the material as evidenced in:

Exams will be open note / open book. To avoid a disparity between resources available to different students, electronic aids are not permitted. (If everyone has a notebook with wireless connection and all agree they want to use them in the exams, I could relax this.)

I will evaluate projects on a five point scale:

A substantial portion of your education in this course will come through performing programming projects: building components of a distributed system. Some examples of what projects might involve are:

My current expectation is that all projects will be done individually, as it is probable that some of the CEE students will not be collocated with other students in the course.

Note on Network Access : If you will be doing your project work for the course at a site that is behind a firewall, let me know as soon as possible. Some of the projects will involve connecting to an on-campus server, and if that will involve a firewall on your end I need to know so I can ensure that the ports used are not blocked.

Policy on Intellectual Honesty

Please read the above link to the policy written by Professor Spafford . This will be followed unless I provide written documentation of exceptions.

Late work will be penalized except in case of documented emergency (e.g., medical emergency), or by prior arrangement if doing the work in advance is impossible due to fault of the instructor (e.g., you are going to a conference and ask to start the project early, but I don't have it ready yet.)

The penalty for late work is 1 point (of the possible 5) if turned in after the deadline, and one additional point for each week late.

Syllabus (numbers correspond to week):

Project start/due dates are tentative!

Other Reading: Leslie Lamport and P. M. Melliar-Smith, " Synchronizing clocks in the presence of faults " Journal of the ACM 32(1) (January 1985). Jennifer Lundelius and Nancy Lynch, " A new fault-tolerant algorithm for clock synchronization , Proceedings of the third annual ACM symposium on Principles of distributed computing 1984 , Vancouver, British Columbia, Canada.

Final exam Thursday, May 2, 2002 from 1:00pm to 3:00pm in RHPH 164.

CS595: Hot Topics in Distributed Systems: Data-Intensive Computing

Quarter: Fall 2010 Lecture Time: Monday/Wednesday, 1:50PM - 3:15PM Lecture Location: Stuart Building 106 Office Hours Time: Wednesday, 3:15PM - 4:15PM Office Hours Location: Stuart Building 237D Professor: Dr. Ioan Raicu ([email protected] )

The support for Data Intensive Computing is critical to advancing modern science as storage systems have experienced an increasing gap between its capacity and its bandwidth by more than 10-fold over the last decade. There is an emerging need for advanced techniques to manipulate, visualize and interpret large datasets. Building large scale distributed systems that support data-intensive computing involves challenges at multiple levels, from the network (e.g., transport, routing) to the algorithmic (e.g., data distribution, resource management) and even the social (e.g., incentives). This course is a tour through various research topics in distributed systems, covering topics in cluster computing, grid computing, supercomputing, and cloud computing. We will explore solutions and learn design principles for building large network-based computational systems to support data intensive computing. Our readings and discussions will help us identify research problems and understand methods and general approaches to design, implement, and evaluate distributed systems to support data intensive computing. Topics include resource management (e.g. discovery, allocation, compute models, data models, data locality, virtualization, monitoring, provenance), programming models, application models, and system characterization. Our discussions will often be grounded in the context of deployed distributed systems, such as the TeraGrid, Amazon EC2 and S3, various top supercomputers (e.g. IBM BlueGene/P, Sun Constellation, Cray XT5), and various software/programming platforms (e.g. Google's MapReduce, Hadoop, Dryad, Sphere/Sector, Swift/Falkon, and Parrot/Chirp). The course involves lectures, outside invited speakers, discussions of research papers, and a major project (including both a written report and an oral presentation).

Lecture topics:

Last modified: July 07, 2011

Brief Biography

Xiaohui (Helen) Gu is a full professor in the Department of Computer Science at the North Carolina State University . She received her PhD degree in 2004 and MS degree in 2001 from the Department of Computer Science , University of Illinois at Urbana-Champaign . She received her BS degree in computer science from Peking University , Beijing , China in 1999. She was a research staff member at IBM T. J. Watson Research Center , Hawthorne , New York , between 2004 and 2007. Dr. Gu received ILLIAC fellowship, David J. Kuck Best Master Thesis Award, and Saburo Muroga Fellowship from University of Illinois at Urbana-Champaign. She also received the IBM Invention Achievement Awards in 2004, 2006, and 2007.  She has filed 9 patents, and has published more than 80 research papers in international journals and major peer-reviewed conference proceedings. Dr. Gu is a recipient of NSF Career Award, four IBM Faculty Awards 2008, 2009, 2010, 2011, and two Google Research Awards 2009, 2011, best paper awards from ICDCS 2012, CNSM 2010, and NCSU Faculty Research and Professional Development Award. She served as program co-chair for IEEE/ACM IWQoS 2013 and USENIX ICAC 2014. She is an associate editor for IEEE Transactions for Parellel and Distributed Systems (TPDS). She is a Senior Member of IEEE and a member of ACM. She was on sabbatical at Google as a visiting scientist in 2015. She also founded InsightFinder , a NCSU startup company commercializaing cloud management technologies invented by her research group. One of the unsupervised machine leaning based anomaly detection technologoies has been licensed to Google.

Students: I am looking for self-motivated PhD students with strong system building skills to join my research group. Several RA positions are available. Please send me an email with your CV and TOFEL/GRE scores. 

Selected Profesional Service

distributed system research paper topics

Top 10 Research Topics in Parallel and Distributed Computing

The specific pressure in locations of the internet with concurrent enhancement in the availability of big data with several users has to accurate the computing tasks in parallel. Parallel and distributed computing will take place in several research areas such as networks, software engineering, computer science, computer architecture, operating systems, algorithms, etc. At present, our research experts are providing complete research support and research guidance for all the research topics in parallel and distributed computing. The ideas based on an essential system of parallel and distributed computing are highlighted below shared memory models, mutual exclusion, concurrency, message passing, memory manipulation, etc.

  Parallel computing is deployed for the provision of high-speed power of processing where it is required and supercomputers are the best example for parallel computing. In this process, distributed computing is accustomed when the geographical locations are differing for the computers.

We provide the research work with the implementation of research algorithms, methodologies that shape the research projects with the proper execution and appropriate code implementation. 

Top 5 Research Topics in Parallel and Distributed Computing

Parallel Computing

            Parallel computing delivers the simultaneous process and it is used to save both money and time. In general, the memory in a parallel system might be two-dimensional such as disseminated and collective . The processors in parallel computing have to perform numerous tasks which are assigned to the processors concurrently.

Distributed Computing

           Distributed computing is entirely different from the parallel computing process because here in distributed computing a task is separated between several computers . In addition, the computers can pass the messages among them and the shared memory is not used. Several autonomous computers appear as one computer for the users. 

What are the Characteristics of Parallel and Distributed Computing?

Parallel Computing Versus Distributed Computing

Distributed Parallel Computing

           The process of distributed parallel computing system is deployed for the functions of several computers in a single network with their allocated task . In general, we are using many applications based on the distributed and parallel computing system such as

Below, our research experts have mentioned the pioneering research topics in parallel and distributed computing , it is a significant research system and it is used to locate the various geographical locations through computers . As per the data, the research fields in parallel and distributed computing are as follows

Recent Research Areas of Parallel and Distributed Computing

           At present, we can see the issues from different sources in parallel and distributed computing . Thus, our research experts provide better research solutions for all such research challenges mentioned below. At this moment, let us discuss the significant research challenges in parallel and distributed computing.

Latest Research Issues of Parallel and Distributed Computing

Thus, by solving all such research challenges in parallel and distributed computing our technical experts have shared some significant requirements of parallel and distributed computing. And, that helps the research scholars to be familiar with the most substantial real-time requirements in current research topics in parallel and distributed computing research.

Future Research Directions of Parallel and Distributed Computing Projects

The research scholars can get the best guidance for handling parallel and distributed computing tools from our research and development experts. In this regard let us see about some of the important and best-distributed computing tools below

Development Tools for Parallel and Distributed Computing Projects

To this end, we believe that you get the top to bottom way out to select the research topics in parallel and distributed computing. The above information will make you a better research scholar to precede your research in parallel and distributed computing. Yet, if you want to become an expert, then you must need a better tutor. In addition, we have several research experts for the scholar’s research assistance . We are ready to provide help and clear up all your difficulties at any stage. So, you can enrich your skills through our keen help.

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distributed system research paper topics

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Unlimited Network Simulation Results available here.

PhD Research Topics in Parallel and Distributed Systems

“Distributed systems have the aid of high speed, fault tolerance, and scalability.”  Now that it has the best features, it will combine with the parallel system. This blend brought success in so many research works.

Our only motto is to satisfy our clients and make them feel proud………

PhD Research Topics in Parallel and Distributed Systems  will teach you to select your research work. Firstly, we want you to be clear about what you need in your work. Your research is the key to open your future.

To list, we have put forth the research titles for your input………

Innovative PhD Research Topics in Parallel and Distributed Systems


Parallel systems.

Distributed Systems

PhD Research Topics in Parallel and Distributed Systems  will work hard and work smart in your research. To put it another way, this field comes as an answer to explore the latent of the hardware.

We can train the hardware to execute your research work a lot fast………

PhD Research Topics in Parallel and Distributed Systems will also help you to point out the way and make choices. After that, it will give you 100% support to build the choice into good research. Particularly, you can also stay in touch with your research.


We have well-trained mavens to conduct deep research in your area. This will also turn your research idea into a masterpiece parallel and distributed computing using python programming.

You will find a sea change in your research; When you work with us, you will feel the change!!!

In summary, let us also check out the newest topics in this field,

A new process for Real-Time Parallel Computing Plan intended at Implementation of Point/Small Target Detection Algorithm in Visible/Infra-Red Video

A new source used for Relaxation-Based on Network Decomposition Algorithm intended for Parallel Transient Stability Simulation with Improved Convergence scheme

An innovative method for MPI Scaling Up designed for Powerlist Based on Parallel Programs

The novel method for Adaptive Barrier Algorithm in MPI Based on Analytical Evaluations for Communication Time in the LogP Model of Parallel Computation

An effective performance for Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server

An inventive scheme for Massive Hypergraph Partitioning with Neighborhood Expansion

An ingenious method for Transform Blockchain into Distributed Parallel Computing Architecture for Precision Medicine scheme

An efficient performance for Hardware Cost and Energy Consumption Optimization used for Safety-Critical Applications on HDESs

The fresh function of Novel Control Approaches intended for Demand Response with Real-Time Pricing by Parallel and Distributed Consensus-Based ADMM

An effectual performance for Development of Advanced Parallel MVMO-SH used for Voltage Control in Distribution Systems

A new process for Migratory Heterogeneity-Aware Data Layout Scheme aimed at Parallel File Systems

An inventive process for Parallel Model Checking based on Pushdown Systems

On the use of Fault Tree Analysis in Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems

An effectual process for Distributed coordination control designed for suppressing circulating current in parallel inverters of islanded Microgrid practice

An efficient method for Distributed Louvain Algorithm meant for Graph Community Detection scheme

A new source for Design function based on Visual Front-End for Parallel Signal Processing on Underwater Search Drone system

The novel process for Optimistic Modeling and Simulation of Complex Hardware Platforms and Embedded Systems based on Many-Core HPC Clusters

An inventive performance for Exploiting Task-Based on Parallelism for Parallel Discrete Event Simulation

An innovative mechanism for Cyber-Physical-Social System with Parallel Learning for Distributed Energy Management of a Microgrid

A new-fangled mechanism for Flattened Metadata Service designed for Distributed File Systems

An effective mechanism for Distributed Dispatch Approach intended for Bulk AC/DC Hybrid Systems with High Wind Power Penetration

PhD Research Topics in Parallel and Distributed Systems

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Special Issue "Distributed Computing Systems and Applications"

Special Issue Editors

Special issue information.

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section " Computing and Artificial Intelligence ".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 4459

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distributed system research paper topics

Dear Colleagues,

Over the last few decades, trends in the computing industry have been towards distributed, low-cost, and high-volume units. Therefore, this Special Issue is dedicated to distributed systems, whose components are located on different networked computers and which communicate and coordinate their actions by passing messages to one another. Currently, there is a wide spectrum of types of distributed systems varying from SOA-based systems to massively multiplayer online games and peer-to-peer applications.

The control of distributed systems is a well-known challenge which requires complex computational software referred to as distributed computing. Therefore, authors should demonstrate new methods allowing to increase distributed system performance, for instance, by rebalancing resource loads and thereby avoiding networking failures caused by node overstrain.

Particularly welcome will be works that validate, at the experimental level, improved networking performance by managing resource loads and hence preventing system failures. Since such systems are generally required to operate across the Internet and different administrative domains, new algorithms fulfilling these scalability requirements without loss of performance will be a valuable contribution to the Special Issue.

We invite authors interested in the proposed topics to contribute to this Special Issue by publishing their results of research related, but not limited, to the following topics: multiprocessing, multicomputing, cybersecurity for distributed systems applications, programming paradigms for distributed systems, and load balancing algorithms.

Prof. Dr. Volodymyr Mosorov Dr. Jacek Kucharski Guest Editors

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A Distributed Systems Reading List


I often argue that the toughest thing about distributed systems is changing the way you think. The below is a collection of material I've found useful for motivating these changes.

Thought Provokers

Ramblings that make you think about the way you design. Not everything can be solved with big servers, databases and transactions.

Somewhat about the technology but more interesting is the culture and organization they've created to work with it.

Current "rocket science" in distributed systems.

Consistency Models

Key to building systems that suit their environments is finding the right tradeoff between consistency and availability.

Papers that describe various important elements of distributed systems design.

Languages and Tools

Issues of distributed systems construction with specific technologies.


Paxos Consensus

Understanding this algorithm is the challenge. I would suggest reading "Paxos Made Simple" before the other papers and again afterward.

Other Consensus Papers

Gossip Protocols (Epidemic Behaviours)

Advanced Distributed Systems

Research Seminar at Columbia University