Dally Rhythms – 2020.04.26


  • Dirigible 5 – After the Rain (The Mint Frame Of Mind Mix), Ab minor, 123 bpm
  • Ear Funk, Ijeoma – Getaway (Nyzzo Remix), Ab minor, 123 bpm
  • Michael Cassette – Shadows Movement, Ab minor, 122 bpm
  • Deepfunk – Shadowy Whispers (Original Mix), G minor, 112 bpm
  • Lulu Rouge – Sign Me Out featuring Fanney Osk (Klartraum Remix), Ab minor, 124 bpm
  • Icon of Coil – Shelter, Ab minor, 120 bpm
  • Redshape – Voyager, A minor, 127 bpm
  • Hakan Kabil, DJ Funky C, Yavuz Oefkeli – Yesterday (Original Mix), A minor, 127 bpm
  • IIO – Rapture featuring Nadia Ali (Mayro Unofficial Remix), Bb minor, 124 bpm
  • Daniel Slam – The Love We Feel (Souldout Remix), Bb minor, 126 bpm
  • Rick Siron – Antares, Bb minor, 127 bpm

Available for download in the archives.

MTT 164 / Auto Negotiation

Something fun for the pacific northwest’s early warm weather. Electro, techno; some lovely 707.


  1. Paris (Black FU) / Black In The Green 00:00
  2. The Other People Place / Eye Contact 03:01
  3. Datassette / Metropolis Light Transport 07:37
  4. Photodementia / Hypercatharsis 11:27
  5. Dexter / I Don’t Care 13:32
  6. Luke Eargoggle / The Mechanik Priest 16:53
  7. Dogma 3000 / Mind 20:55
  8. Scape One / Android Robotix 25:06
  9. Simulant / Spectre 27:49
  10. Aril Brikha / Lady 707 30:31
  11. Matt Whitehead / The Tip Off 35:38
  12. Tourist At Home / There’s Wisdom In Dance 41:03
  13. BCJ / Spectre 43:45
  14. Aril Brikha / Leaving Me 48:44
  15. John Beltran / Gutaris Breeze (6000km To Amsterdam) 55:44

And here’s a link to the recording: https://archives.anonradio.net/202004170600_cev.mp3 with thanks to aNONradio for hosting the archives.

This mix came together when a good friend of mine gifted me a digital copy of Aril Brikha‘s excellent 2007 album Ex Machina. I predictably love the broken-beat tunes: Lady 707, Leaving Me, and Gres. Ex Machina is on Peacefrog Records, who have a bandcamp page up with a few dozen classic releases, very much worth checking out. (Classics like John Beltran’s Ten Days Of Blue, the source of track #15 in this mix).

Two tracks from the label Rebel Intelligence feature in this mix: #3 Metropolis Light Transport by Datassette, and #11 The Tip Off by Matt Whitehead. There’s five releases total on Rebel Intelligence, all a fun mixture of electro and house.

And last I’d like to highlight the oddity that is Spectre by BCJ better-known-as CJ Bolland. Bolland used the alias BCJ only a few times, according to discogs. The track itself is from the 1997 Megatech Body.CD, which I covered back in MTT 158. I need to do some research into Bolland’s music, as I don’t know much about it, and it appears he has more breakbeat-y tracks like Spectre.

Another good one this week. A few long tracks, a few classics, a few oddities. Kind of bouncy. I’ll be back next week with something slower, as usual.

Dally Rhythms – 2020.04.19


  • Mimram – I’m Here For You (Original Mix), A minor, 122 bpm
  • Mika Olson – Now & Here (Matvey Emerson Remix), A minor, 120 bpm
  • Pedro G – Move On featuring Leanne Lawson & Natasha Watts (Cemode Remix), A minor, 120 bpm
  • Matt Fear – Groove with it (Original mix), A minor, 120 bpm
  • Binar – Persistent Memories, Gb minor, 124 bpm
  • iiogama – Touch, A minor, 115 bpm
  • Neorbeat & Guma Prise – Cry Of Our Souls (Neorbeat Rework), A minor, 123 bpm
  • Binar – Early Reflections (Original Mix), G major, 123 bpm
  • Mulya – Orson (Original Mix), E minor, 120 bpm
  • Flooting Grooves – Atrium, Eb minor, 116 bpm
  • Riamiwo – Radialturbine (Tom Hutt Remix), Ab minor, 125 bpm

Available for download in the archives.

TSR – The Server Room – Shownotes – Episode 22

9 Tools for Working From Home During the #Covid19 Outbreak and Global Lockdown


MTT 163 / Into Traffic

Some rowdy breaks, electro, and IDM at 135.


  1. Schizophrenia / Schizophrenia 00:00
  2. Ambit 3 / Dropped 02:11
  3. RAC / Quexos 05:08
  4. Anoesis / Swift 09:22
  5. Electronic Corporation / We Got Velocity 11:44
  6. Kerr Knoll / Roots 15:14
  7. EMS / Getgetto 19:03
  8. Silicon Scally / All Torque 22:36
  9. Freezie Freekie / Freezie’s Gonna Funk Ya 27:42
  10. The Octagon Man / 10ft Bass 31:15
  11. Eon / Phaze Test (String Phase) 34:38
  12. Treen / Cox 39:30
  13. Robert Cosmic / My Universe 43:18
  14. Sbassship / Four Dimensional Existence 47:45
  15. Mobile Space Unit / Penalty Dream Pt. 1 51:43
  16. M3taN01a / 3 Points 56:21
  17. Cabaret Voltaire / Exterminating Angel (Outro) 58:15

And here’s a link to the recording: https://archives.anonradio.net/202004100600_cev.mp3 with thanks to aNONradio for hosting the archives.

Three tracks from the mid-2000s electro label Satamile feature in this mix: #7 Getgetto by E.M.S., #8 All Torque by Silicon Scally, and #9 Freezie’s Gonna Funk Ya by Freezie Freekie. I picked up all three of those on vinyl in the mid 2000s in local shops. I’m a fan of Satamile; I miss their style of break-y electro, there doesn’t seem to be much of that being released right now.

Two old Electron Industries tracks feature, right after the Satamile block. #10 10ft Bass by label head The Octagon Man (AKA J. Saul Kane) and #11 Phaze Test (String Phase) by Eon. Phaze Test in particular is excellent, both sides are raucous electro workouts. The 30 Beat Cycle mix on the b-side is exactly as the title suggests, 28 beats in straight 4/4 then an extra two beats to mess with you. Fun and challenging to play in a set.

Mobile Space Unit is Pino Grzybowsky (AKA Dr. Scissors) and Andreas Kauffelt. Kauffelt was a member of Kabuto who wrote No Brain, a track wich appears on the first Ghost In The Shell Tribute album, and was played on this show five weeks ago. (A neat connection). Their track in this mix is the classic Penalty Dream Pt. 1, originally from the 1999 Cheat Codes EP on Electrolux, included here from the Elektro Codes.Three compilation.

This was a good one. A bunch of old vinyl and a few new(ish)-to-me pieces from Kerr KnollM3taN01a, and Robert Cosmic. Fun times. I’ve run out of ideas for new shows, so I’ve got no idea what to do next week, but I’ll do my best to make it good

TSR – The Server Room – Shownotes – Episode 21

Andronix & Termux – Running Linux on Your Android Phone and Tablet without the need to Root Your Devices

GSConnect – Kde Connect for Gnome in a form of an Extension. Connect Your Android Phone to Your Linux Desktop

Scrcpy to view and interact with Your Android Phone via USB and also Wirelessly on Linux

BalenaFIN and BalenaSOUND

Brave Browser – Chromium Based Browser with Built in Adblocker and Tracking Blocker .. Uses less memory than Chrome 🙂

Calling to Arms – FreeBSD Users Unite – Trying to Revive the BSD User Group in Spain

VNC Connection to my Samsung A50 on LAN running Andronix Modded Debian Linux with the help of Termux
Emacs, Chrome Browser, Terminal and System Monitor can be seen open

Google Play Store Download Links:








BalenaFin and BalenaSound

What is Balena?

Balena is a complete set of tools for building, deploying, and managing fleets of connected Linux devices. We provide infrastructure for fleet owners so they can focus on developing their applications and growing their fleets with as little friction as possible.

Their Final thoughts from their website:

Balena has been built to bring a cloud microservices workflow to the world of edge devices and remove friction for fleet owners wherever possible. Our aim is to make IoT applications as easy to deploy as web applications (or even easier!). Along the way, we’ve discovered and assimilated interesting ideas from both the cloud and embedded worlds, and even invented ideas that only apply to the new paradigm balena represents.



The balenaFin is a Raspberry Pi Compute Module carrier board that can run all the software that the Raspberry Pi can run, but hardened for deployment in the field. Even better, it’s offered at an accessible price point relative to other professional boards.



Bluetooth, Airplay and Spotify audio streaming for any audio device

Starter project enabling you to add multi-room audio streaming via Bluetooth, Airplay or Spotify Connect to any old speakers or Hi-Fi using just a Raspberry Pi.

BalenaSound is a set of docker containers running on top of BalenaOS which is the OS to run Docker Containers on Embeeded devices with ease.


  • Bluetooth, Airplay and Spotify Connect support: Stream audio from your favourite music services or directly from your smartphone/computer using bluetooth.
  • Multi-room synchronous playing: Play perfectly synchronized audio on multiple devices all over your place.

Hardware required

  • Raspberry Pi 3A+/3B/3B+/4B/Zero W
  • SD Card (we recommend 8GB Sandisk Extreme Pro)
  • Power supply
  • 3.5mm audio cable to the input on your speakers/Hi-Fi (usually 3.5mm or RCA). Alternatively you can use the HDMI port to get digital audio out.


Show/Connect and Interact with Your Android Device on Linux via USB and Wireless


Brave Browser

Calling to Arms – FreeBSD User Group Spain to be revived


Contact Details

Telegram Chat Group

Episodes in FLAC

Video Recording of the Live Show:


+1 910 665 9191

Dally Rhythms – 2020.04.05


  • Vague Rest – Sacred Aeon (Geist Remix), A minor, 123 bpm
  • ARTBAT, Matador – Visitor (Original Mix), A minor, 124 bpm
  • Phonique – Perfect Stranger (Phonogenic, Sasse remix), A minor, 123 bpm
  • Mind Against – Strange Days (Original Mix), Db minor, 123 bpm
  • Aki Bergen, Lazarusman – Get Better (Rework), Db minor, 120 bpm
  • Riamiwo – Radialturbine (Beatamines Remix), Ab minor, 125 bpm
  • Mulya – Whisperer (Original Mix), D minor, 120 bpm
  • Alan Fitzpatrick & Sasha – El Jefe (Version 2), G minor, 124 bpm
  • DJ Hell – Mantra (Fur Coat Remix), C minor, 125 bpm
  • Paul Elwell – 4 A.M. (Original Mix), C minor, 120 bpm
  • Koop – Koop Island Blues (Original mix), Bb minor, 158 bpm

Available for download in the archives.

MTT 162 / Cautious Advance

Fast breaks and electro, slow DnB, and a couple tracker tunes. Some weirdness.


  1. Clan Of Xymox / Theme II 00:00
  2. Il.Ek.Tro / Threads Part One 01:27
  3. The Advent / Work Dat 05:10
  4. Black Electric / Black Electric 09:10
  5. Headnoaks / Power 2 Da Beatz (Disko 69 Remix) 13:13
  6. AS1 / Solar Lifestyle 15:40
  7. Thugwidow / Mother Earth Can Die For All I Care 18:55
  8. Silicon / Rules Of Engagement 22:34
  9. Dr. Futurist / Spatial Translations 26:53
  10. Marco Bernardi / Reality Check 29:02
  11. Adam Jay / Warp Drive 32:02
  12. dgoHn / Benny’s Gone Missing 36:34
  13. Dune / Arsa Bamk 37:58
  14. Chavez / Honeynut Loops 40:28
  15. Omni Trio / Mystic Stepper (Feel Better) 43:17
  16. Aphex Twin / Polynomial-C 47:58
  17. Thugwidow / Temporary Conciousness 51:46
  18. Screwtec / Water Gate 57:12

And here’s a link to the recording: https://archives.anonradio.net/202004030600_cev.mp3 with thanks to aNONradio for hosting the archives.

This mix was thrown together to play tracks from I Tried Calling But Your Phone Must Have Been Off, Thugwidow’s new album on No Problema Tapes. It’s a cool combination of elements – modern ambient production (vaporwave?) and unusually slow jungle/DnB. Like, 1993 hardcore breakbeat slow. I’m really into it. It turns out Thugwidow has a bunch of releases, among them a sweet collab with Sangam.

Track four Black Electric is from the only release by that band, their 2000 self-titled EP on Puzzlebox. Colors and Come To Me, A2 and B1, are also great; I’m sure I’ll play them here eventually. There’s a bunch of Puzzlebox on Beatport but I couldn’t find this one, unfortunately.

A couple of old tracker mods snuck in, specifically track 13 Arsa Bamk by Dune (best known as Brothomstates) and track 14 Honeynut Loops by Chavez. The latter of those is from the netlabel Milk, which I plan to write a post about here (eventually).

Mystic Stepper (Feel Better) is one of the few genuine breakbeat hardcore tracks I have, and the only Moving Shadow record I own. Most of Moving Shadow is available on Beatport, but this one is missing. A few alternate versions of Mystic Stepper are available: Feel Better (Foul Play Remix)Feel Good ’95, and Feel Good (Original In Demand Mix), but I like the one featured here the best. And then cheating in Polynomial-C… you know, it was right there, I had to do it.

This is a pretty scatterbrained selection, and it could’ve used one or two more tracks to break up the long ones, but I’m happy. Good for a few hours of planning. I’ll be back next week with… not sure. Something slower.

TSR – The Server Room – Shownotes – Episode 20

Distributed Systems & Distributed Computing

Distributed Systems

Distributed Systems: They are all around us. Google search engine, Amazon platform, Netflix, online gaming, money transfer/banking

The most known form of it is the Client-Server model

A Distributed System is a collection of separate /independent SW or HW components referred to as nodes that are linked together by means of a network and work together coherently by coordinating and communicating through a message passing or events to fulfill a one end goal. The nodes of the system can be unstructured or highly structured depending on the requirements. Its complexity is hidden from the end user or computer and appears as a single system/computer

More simple explanation:
Bunch of independent computers which work together to solve a problem.

Characteristics of a Distributed Systems

No Shared Clock
Each Computer in a Distributed System has its own internal clock to supply the value of the current time to local processes

No Shared Memory
Each computer has its own local memory.
(( can see on figure c when comparing parallel vs distributed systems ))

Resource sharing
Resource sharing means that the existing resources in a distributed system can be accessed or remotely accessed across multiple computers in the system. Computers in distributed systems shares resources like hardware (disks and printers), software (files, windows and data objects) and data. Hardware resources are shared for reductions in cost and convenience. Data is shared for consistency and exchange of information.

Concurrency is a property of a system representing the fact that multiple activities are executed at the same time. The concurrent execution of activities takes place in different components running on multiple machines as part of a distributed system. In addition, these activities may perform some kind of interactions among them. Concurrency reduces the latency and increases the throughput of the distributed system.

Fault Tolerance — High Availability
In a distributed system hardware, software, network anything can fail. The system must be designed in such a way that it is available all the time even after something has failed.

Scalability is mainly concerned about how the distributed system handles the growth as the number of users for the system increases. Mostly we scale the distributed system by adding more computers in the network. Components should not need to be changed when we scale the system. Components should be designed in such a way that it is scalable

Heterogenetic and Loose Coupling
In distributed systems components can have variety and differences in Networks, Computer hardware, Operating systems, Programming languages and implementations by different developers

Distributed systems should be perceived by users and application programmers as a whole rather than as a collection of cooperating components. Transparency can be of various types like access, location, concurrency, replication, etc.

Parallel and Distributed Computing

Distributed systems are groups of networked computers which share a common goal for their work. The terms “concurrent computing“, “parallel computing“, and “distributed computing” have a lot of overlap, and no clear distinction exists between them.

The same system may be characterized both as “parallel” and “distributed”; the processors in a typical distributed system run concurrently in parallel.

Parallel computing may be seen as a particular tightly coupled form of distributed computing and distributed computing may be seen as a loosely coupled form of parallel computing.

Nevertheless, it is possible to roughly classify concurrent systems as “parallel” or “distributed” using the following criteria:

  • 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.
The figure illustrates the difference between distributed and parallel systems.

Figure (a) is a schematic view of a typical distributed system; the system is represented as a network topology in which each node is a computer and each line connecting the nodes is a communication link.

Figure (b) shows the same distributed system in more detail: each computer has its own local memory, and information can be exchanged only by passing messages from one node to another by using the available communication links.

Figure (c) shows a parallel system in which each processor has a direct access to a shared memory.

The situation is further complicated by the traditional uses of the terms parallel and distributed algorithm that do not quite match the above definitions of parallel and distributed systems 

Nevertheless, as a rule of thumb, high-performance parallel computation in a shared-memory multiprocessor uses parallel algorithms while the coordination of a large-scale distributed system uses distributed algorithms.


  • Client–server: architectures where smart clients contact the server for data then format and display it to the users. Input at the client is committed back to the server when it represents a permanent change.
  • Three-tier: architectures that move the client intelligence to a middle tier so that stateless clients can be used. This simplifies application deployment. Most web applications are three-tier.
  • n-tier: architectures that refer typically to web applications which further forward their requests to other enterprise services. This type of application is the one most responsible for the success of application servers.
  • Peer-to-peer: architectures where there are no special machines that provide a service or manage the network resources.Instead all responsibilities are uniformly divided among all machines, known as peers. Peers can serve both as clients and as servers.Examples of this architecture include BitTorrent and the bitcoin network.

Another basic aspect of distributed computing architecture is the method of communicating and coordinating work among concurrent processes.

Through various message passing protocols, processes may communicate directly with one another, typically in a master/slave relationship.

Alternatively, a “database-centric” architecture can enable distributed computing to be done without any form of direct inter-process communication, by utilizing a shared database.

Database-centric architecture in particular provides relational processing analytics in a schematic architecture allowing for live environment relay. This enables distributed computing functions both within and beyond the parameters of a networked database.


Reasons for using distributed systems and distributed computing may include:

  1. The very nature of an application may require the use of a communication network that connects several computers: for example, data produced in one physical location and required in another location.
  2. There are many cases in which the use of a single computer would be possible in principle, but the use of a distributed system is beneficial for practical reasons. For example, it may be more cost-efficient to obtain the desired level of performance by using a cluster of several low-end computers, in comparison with a single high-end computer. A distributed system can provide more reliability than a non-distributed system, as there is no single point of failure. Moreover, a distributed system may be easier to expand and manage than a monolithic uniprocessor system.


Examples of distributed systems and applications of distributed computing include the following:

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Distributed computing is a field of computer science that studies distributed systems. .

Distributed computing also refers to the use of distributed systems to solve computational problems. In distributed computing, a problem is divided into many tasks, each of which is solved by one or more computers, which communicate with each other via message passing.

What is Folding@Home Project

Folding@home (FAH or F@h) is a distributed computing project / volunteer computing project for performing molecular dynamics simulations of protein dynamics. Its initial focus was on protein folding but has shifted to more biomedical problems, such as Alzheimer’s diseasecancerCOVID-19, and Ebola. The project uses the idle processing resources of personal computers owned by volunteers who have installed the software on their systems. Folding@home is currently based at the Washington University in St. Louis School of Medicine. The project was started by the Pande Laboratory at Stanford University

Single Core projects are being phased out unfortunately and also amount of projects available for 32 bit processors is less and less each time ….

Install #Folding@Home on Your Computers and Join the Server Room Show’s team effort to help find a cure for #Covid19 using the team code 258277

Team and Personal Stats at Folding@Home Website






Contact Information

Telegram Chat Group

Episodes in FLAC

Video Recording of the Live Show:


+1 910 665 9191