This document discusses various CPU scheduling policies including FIFO, round robin, shortest job first, priority scheduling, and lottery scheduling. It provides details on how each policy works, its advantages and disadvantages, and examples to illustrate differences in performance. Specifically, it compares the turnaround times of jobs under FIFO and round robin scheduling. It also shows how shortest job first scheduling minimizes response times.
Maximum CPU utilization obtained with multiprogramming
CPU–I/O Burst Cycle – Process execution consists of a cycle of CPU execution and I/O wait
CPU burst followed by I/O burst
CPU burst distribution is of main concern
Maximum CPU utilization obtained with multiprogramming
CPU–I/O Burst Cycle – Process execution consists of a cycle of CPU execution and I/O wait
CPU burst followed by I/O burst
CPU burst distribution is of main concern
Operating Systems Process Scheduling Algorithmssathish sak
CPU scheduling big area of research in early ‘70s
Many implicit assumptions for CPU scheduling:
One program per user
One thread per program
Programs are independent
These are unrealistic but simplify the problem
Does “fair” mean fairness among users or programs?
If I run one compilation job and you run five, do you get five times as much CPU?
Often times, yes!
Goal: dole out CPU time to optimize some desired parameters of the system.
In operating system concepts, the scheduling algorithm identifies and schedules the jobs in the queue. It is classified into Preemptive and Non-Preemptive algorithms. The different types of scheduling algorithms includes FCFS, SJF, SJRTF , Round robin and Priority scheduling. This PPT explains the concepts of CPU Scheduling Algorithms with simple examples.
Deadlock happens when two threads are waiting for a mutex owned by the other (circular deadlock between multiple threads is also possible). Therefore, we need to check for deadlock only when a thread fails to lock a mutex. At that point, the Thread Manager needs to suspend all threads and take over to perform a cycle check on mutex dependency. Finding such a cycle is easily done by performing a tree traversal of the dependencies, and marking threads and mutexes along the way. Using this method, we can detect deadlock and identify all threads and mutexes involved in the deadlock.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Operating Systems Process Scheduling Algorithmssathish sak
CPU scheduling big area of research in early ‘70s
Many implicit assumptions for CPU scheduling:
One program per user
One thread per program
Programs are independent
These are unrealistic but simplify the problem
Does “fair” mean fairness among users or programs?
If I run one compilation job and you run five, do you get five times as much CPU?
Often times, yes!
Goal: dole out CPU time to optimize some desired parameters of the system.
In operating system concepts, the scheduling algorithm identifies and schedules the jobs in the queue. It is classified into Preemptive and Non-Preemptive algorithms. The different types of scheduling algorithms includes FCFS, SJF, SJRTF , Round robin and Priority scheduling. This PPT explains the concepts of CPU Scheduling Algorithms with simple examples.
Deadlock happens when two threads are waiting for a mutex owned by the other (circular deadlock between multiple threads is also possible). Therefore, we need to check for deadlock only when a thread fails to lock a mutex. At that point, the Thread Manager needs to suspend all threads and take over to perform a cycle check on mutex dependency. Finding such a cycle is easily done by performing a tree traversal of the dependencies, and marking threads and mutexes along the way. Using this method, we can detect deadlock and identify all threads and mutexes involved in the deadlock.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The infamous Mallox is the digital Robin Hoods of our time, except they steal from everyone and give to themselves. Since mid-2021, they've been playing hide and seek with unsecured Microsoft SQL servers, encrypting data, and then graciously offering to give it back for a modest Bitcoin donation.
Mallox decided to go shopping for new malware toys, adding the Remcos RAT, BatCloak, and a sprinkle of Metasploit to their collection. They're now playing a game of "Catch me if you can" with antivirus software, using their FUD obfuscator packers to turn their ransomware into the digital equivalent of a ninja.
-------
This document provides a analysis of the Target Company ransomware group, also known as Smallpox, which has been rapidly evolving since its first identification in June 2021.
The analysis delves into various aspects of the group's operations, including its distinctive practice of appending targeted organizations' names to encrypted files, the evolution of its encryption algorithms, and its tactics for establishing persistence and evading defenses.
The insights gained from this analysis are crucial for informing defense strategies and enhancing preparedness against such evolving cyber threats.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath New York Community Day in-person eventDianaGray10
UiPath Community Day is a unique gathering designed to foster collaboration, learning, and networking with automation enthusiasts. Whether you're an automation developer, business analyst, IT professional, solution architect, CoE lead, practitioner or a student/educator excited about the prospects of artificial intelligence and automation technologies in the United States, then the UiPath Community Day is definitely the place you want to be.
Join UiPath leaders, experts from the industry, and the amazing community members and let's connect over expert sessions, demos and use cases around AI in automation as we highlight our technology with a special speaker on Document Understanding.
📌Agenda
3:00 PM Registrations
3:30 PM Welcome note and Introductions | Corina Gheonea (Senior Director of Global UiPath Community)
4:00 PM Introduction to Document Understanding
How to build and deploy Document Understanding process
Where would Document Understanding be used.
Demo
Q&A
4:45 PM Customer/Partner showcase
Accelirate
Intro to Accelirate and history with UiPath
Why are we excited about the new AI features of UiPath?
Customer highlight
a. Document Understanding – BJs Case Study
b. Document Understanding + generative AI
5.30 PM Networking
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
chapter03sec02_تحليل وتقييم.pptx
1. Misurata University
Faculty of Information Technology
Analyzing and evaluation Networks
Performance CN 422
Instructor : HAMZA ALI
Autumn 2015-2016
Scheduling Policies
1
Modified by: Ahmad S. AL-Majouk
2. Scheduling Policies
■ FIFO (first in, first out)
■ Round robin
■ SJF (shortest job first)
■ Priority Scheduling
■ Lottery scheduling
■ This is obviously an incomplete list
* 2
3. FIFO
FIFO is an acronym for First In, First Out, a method for organizing
and manipulating a data buffer, or data stack, where the oldest
entry, or 'bottom' of the stack, is processed first. It is analogous
to processing a queue with first-come, first-served (FCFS)
behavior: where the people leave the queue in the order in
which they arrive.
* 3
4. FIFO
■ FIFO: assigns the CPU based on the order of
requests
❑ Nonpreemptive: A process keeps running on a CPU
until it is blocked or terminated
❑ Also known as FCFS (first come, first serve)
+ Simple
- Short jobs can get stuck behind long jobs
* 4
5. FIFO
■
Suppose we have three jobs of equal length
A B Time
C
turnaround time of A
turnaround time of B
turnaround time of C
FIFO
* 5
6. Round Robin
■ Round Robin (RR) periodically releases the CPU
from long-running jobs
❑ Based on timer interrupts so short jobs can get a fair
share of CPU time
❑ Preemptive : a process can be forced to leave its
running state and replaced by another running process
❑ Time slice: interval between timer interrupts
* 6
7. Round Robin (Cont.)
■ If time slice is too long
❑ Scheduling degrades to FIFO
■ If time slice is too short
❑ Throughput suffers
❑ Context switching cost dominates
* 7
8. FIFO vs. Round Robin
■
Suppose we have three jobs of equal length
A B C A B C Ti
m
e
A B C
turnaround time of A
turnaround time of B
turnaround time of C
Round Robin
A B Time
C
turnaround time of A
turnaround time of B
turnaround time of C
FIFO
* 8
9. FIFO vs. Round Robin
■ Round Robin
+ Shorter response time
+ Fair sharing of CPU
- Not all jobs are preemptable
- Not good for jobs of the same length (longer turnaround time)
- More precisely, not good in terms of the turnaround time, because the
turnaround of job A (last graph for example) in Robin Round state is
longer than turnaround time of the same job in FIFO state.
* 9
Modified by: Ahmad S. Al-Majouk
10. * Instructor: Ahmad S. Al-Majouk
10
Shortest Job First (SJF)
⮚ Other name of this algorithm is Shortest-Process-Next (SPN).
Also known as STCF (shortest time to completion first).
⮚ Like FCFS, SJF is non preemptive discipline in which waiting job
(or process) with the smallest estimated run-time-to-completion is
run next.
In other words, when CPU is available, it is assigned to the process
that has smallest next CPU burst.
⮚ The SJF scheduling is especially appropriate for batch jobs for
which the run times are known in advance.
⮚ The SJF algorithm favors short jobs (or process) at the expense
of longer ones.
⮚ The obvious problem with SJF scheme is that it requires precise
knowledge of how long a job or process will run, and this information
is not usually available.
⮚ The best SJF algorithm can do is to rely on user estimates of run
times.
11. SJF Illustrated
A B Time
C
turnaround time of A
turnaround time of B
turnaround time of C
Shortest Job First
response time of A =
0
response time of
B
response time of
C
wait time of A =
0
wait time of
B
wait time of
C
* 11
12. Priority Scheduling (Multilevel Queues)
■ Priority scheduling: The process with the
highest priority runs first
■ Priority 0:
■ Priority 1:
■ Priority 2:
■ Assume that low numbers represent high priority
A
B
C
A B Ti
m
e
C
Priority
Scheduling
*
12
13. Multilevel Feedback Queues
• Multilevel feedback queues use multiple
queues with different priorities
– Round robin at each priority level
– Run highest priority jobs first
– Once those finish, run next highest priority, etc
– Jobs start in the highest priority queue
– If time slice expires, drop the job by one level
– If time slice does not expire, push the job up by one
level
* 13
Instructor: Ahmad S. Al-Majouk
14. Lottery Scheduling
■ Lottery scheduling is an adaptive scheduling
approach to address the fairness problem
❑ Each process owns some tickets
❑ On each time slice, a ticket is randomly picked
❑ On average, the allocated CPU time is proportional to
the number of tickets given to each job
* 14
15. Lottery Scheduling (Cont.)
■ To approximate SJF, short jobs get more tickets
■ To avoid starvation, each job gets at least one
ticket
* 15
16. Lottery Scheduling Example
• short jobs: 10 tickets each
• long jobs: 1 ticket each
# short jobs/#
long jobs
% of CPU for
each short job
% of CPU for
each long job
1/1 91% 9%
0/2 0% 50%
2/0 50% 0%
10/1 10% 1%
1/10 50% 5%
* 16
Instructor: Ahmad S. AL-Majouk