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DiscoveredByte - Java Performance Monitoring, Tuning and Optimization - Key P...
Key Performance Findings Report.
The report focuses on the key indicators of the monitored case and significantly reduces the time required to analyze collected information and identify bottlenecks.
It features the areas that influence performance of the application the most, whether it is individual execution or cumulative impact on the system due to high frequency of
use, and/or areas that create abnormally high load on the system as a whole.
System Alerts - Alerts section lists events with execution time or resource utilization exceeding predefined thresholds.
Resources Utilization - The CPU graph shows total general CPU utilization by Java Virtual Machine (JVM), as well as consumption by the most demanding individual threads within JVM, as the percentage of the total server's
CPU.
Resources Utilization - The Memory graph shows memory utilization by the Java Virtual Machine. Memory consumption is expected to grow until it is released by the garbage collector (GC). Up and down fluctuations are normal and indicate that the system is healthy. However, behavior when memory drops to increasingly higher level and oscillations grow shorter, while top line lingers around maximal available memory, may indicate memory leak in the system, or simply higher demand that JVM can
provide. In such case, the execution of the application is constrained by total available memory and JVM might eventually crash.
User Experience - Additional factors that may impact user experience are network latency and browser-side processing time. The execution time shown on the graph represents minimum user wait time which could be
achieved when user has adequately equipped workstation and negligible network delays.
Heavy Methods - The section lists twenty methods with the longest execution time, along with the details pinpointing the reasons.
For each of the listed in the table methods, report offers additional supporting information about repeatedly executed sub-methods, methods with highest net execution time, methods causing the highest CPU utilization, total time spent on database queries and the Heaviest SQL queries.
Heavy Methods by Total Net - The section lists the methods with longest total net time, which are directly responsible for the duration of the execution.
Net time is calculated as full duration time minus full duration time of methods that are called directly from the method in question. The list could contain low-level methods, including I/O methods and other
event waits.
All Queries Totals - The section highlights portion of the overall execution time that was spend on database queries.
The data could be one of the quick indicators on whether the performance issues are database related.
Heavy Queries by Total Duration - While one execution of the query doesn't take long time to execute, the queries listed in this section were executed enough times to account for the significant total execution time.
Tics
El documento habla sobre la tecnología digital y cómo se relaciona con la comunicación inalámbrica, proporcionando acceso fácil a la información y nuevas oportunidades laborales. La tecnología digital se refiere a las herramientas y tecnologías que las personas usan para compartir, distribuir e intercambiar información de manera más frecuente a través de Internet y la informática.
Kepler vs Xeon Phi
The document compares the Kepler GPU and Xeon Phi architectures through microbenchmarks that test memory-bound, compute-bound, and latency-bound workloads. It finds that for memory-bound workloads, vectorizing loads and using texture cache improves performance on Kepler, while gathering and aligned loads help Xeon Phi. For compute-bound workloads, vectorizing and using float4/double4 benefits Kepler, and intrinsics aid Xeon Phi. And for latency-bound workloads, loop interchange and skipping the L2 cache helps Kepler, while gathering and aligned loads assist Xeon Phi. The conclusion notes vendor performance data may differ from experiments and examples are available online.
No child left behind
The No Child Left Behind Act was established from 2001-2002 under President George W. Bush. It was proposed in January 2001 and passed by the House and Senate before being signed into law by Bush in January 2002. The act was based on the Elementary and Secondary Education Act of 1965 and aims to improve education standards and outcomes through standardized testing and measurable goals. It has been highly controversial since its inception regarding feasibility and fairness.
Story board
Materi ini membahas tentang konsep-konsep dasar dalam suatu bidang studi seperti istilah-istilah penting, ringkasan materi, dan latihan soal untuk memperkuat pemahaman. Terdapat juga penjelasan visual berupa animasi, video, lagu, dan gambar.
No child left behind
The No Child Left Behind Act was established from 2001-2002 under President George W. Bush. It was proposed in January 2001, passed the House of Representatives in May 2001, passed the Senate in June 2001, and was signed into law by President Bush in January 2002. The Act was based on the Elementary and Secondary Education Act of 1965 and supports standards-based education reforms through standardized testing to improve education outcomes.
Recommended
DiscoveredByte - Java Performance Monitoring, Tuning and Optimization - Key P...
Key Performance Findings Report.
The report focuses on the key indicators of the monitored case and significantly reduces the time required to analyze collected information and identify bottlenecks.
It features the areas that influence performance of the application the most, whether it is individual execution or cumulative impact on the system due to high frequency of
use, and/or areas that create abnormally high load on the system as a whole.
System Alerts - Alerts section lists events with execution time or resource utilization exceeding predefined thresholds.
Resources Utilization - The CPU graph shows total general CPU utilization by Java Virtual Machine (JVM), as well as consumption by the most demanding individual threads within JVM, as the percentage of the total server's
CPU.
Resources Utilization - The Memory graph shows memory utilization by the Java Virtual Machine. Memory consumption is expected to grow until it is released by the garbage collector (GC). Up and down fluctuations are normal and indicate that the system is healthy. However, behavior when memory drops to increasingly higher level and oscillations grow shorter, while top line lingers around maximal available memory, may indicate memory leak in the system, or simply higher demand that JVM can
provide. In such case, the execution of the application is constrained by total available memory and JVM might eventually crash.
User Experience - Additional factors that may impact user experience are network latency and browser-side processing time. The execution time shown on the graph represents minimum user wait time which could be
achieved when user has adequately equipped workstation and negligible network delays.
Heavy Methods - The section lists twenty methods with the longest execution time, along with the details pinpointing the reasons.
For each of the listed in the table methods, report offers additional supporting information about repeatedly executed sub-methods, methods with highest net execution time, methods causing the highest CPU utilization, total time spent on database queries and the Heaviest SQL queries.
Heavy Methods by Total Net - The section lists the methods with longest total net time, which are directly responsible for the duration of the execution.
Net time is calculated as full duration time minus full duration time of methods that are called directly from the method in question. The list could contain low-level methods, including I/O methods and other
event waits.
All Queries Totals - The section highlights portion of the overall execution time that was spend on database queries.
The data could be one of the quick indicators on whether the performance issues are database related.
Heavy Queries by Total Duration - While one execution of the query doesn't take long time to execute, the queries listed in this section were executed enough times to account for the significant total execution time.
Tics
El documento habla sobre la tecnología digital y cómo se relaciona con la comunicación inalámbrica, proporcionando acceso fácil a la información y nuevas oportunidades laborales. La tecnología digital se refiere a las herramientas y tecnologías que las personas usan para compartir, distribuir e intercambiar información de manera más frecuente a través de Internet y la informática.
Kepler vs Xeon Phi
The document compares the Kepler GPU and Xeon Phi architectures through microbenchmarks that test memory-bound, compute-bound, and latency-bound workloads. It finds that for memory-bound workloads, vectorizing loads and using texture cache improves performance on Kepler, while gathering and aligned loads help Xeon Phi. For compute-bound workloads, vectorizing and using float4/double4 benefits Kepler, and intrinsics aid Xeon Phi. And for latency-bound workloads, loop interchange and skipping the L2 cache helps Kepler, while gathering and aligned loads assist Xeon Phi. The conclusion notes vendor performance data may differ from experiments and examples are available online.
No child left behind
The No Child Left Behind Act was established from 2001-2002 under President George W. Bush. It was proposed in January 2001 and passed by the House and Senate before being signed into law by Bush in January 2002. The act was based on the Elementary and Secondary Education Act of 1965 and aims to improve education standards and outcomes through standardized testing and measurable goals. It has been highly controversial since its inception regarding feasibility and fairness.
Story board
Materi ini membahas tentang konsep-konsep dasar dalam suatu bidang studi seperti istilah-istilah penting, ringkasan materi, dan latihan soal untuk memperkuat pemahaman. Terdapat juga penjelasan visual berupa animasi, video, lagu, dan gambar.
No child left behind
The No Child Left Behind Act was established from 2001-2002 under President George W. Bush. It was proposed in January 2001, passed the House of Representatives in May 2001, passed the Senate in June 2001, and was signed into law by President Bush in January 2002. The Act was based on the Elementary and Secondary Education Act of 1965 and supports standards-based education reforms through standardized testing to improve education outcomes.
As telcos go digital, cybersecurity risks intensify by pwc
globalaviationairospace.com
Cyber security for telecommunications companies
The rewards and risks of the cloud, devices, and data
The fastest growing sources of security incidents, increase over 2013
Security strategies for evolving technologies
Strategic initiatives to improve cybersecurity
HPC, Big Data & Data Center Explanation by Mert Akın
This document discusses high performance computing (HPC), big data, and data centers. It provides details on:
- What HPC is and how it is used for scientific and engineering applications requiring large-scale processing power.
- How big data comes from both traditional and digital sources in various formats, and is used across industries like healthcare, retail, and banking.
- What a data center is and how it centralizes an organization's IT infrastructure and equipment to support applications and users. Major data center operators include telecom companies, IT firms, and cloud storage providers.
UW - transcript
This unofficial transcript is for Jason Hall who graduated from the University of Washington Tacoma campus in Spring 2016 with a Bachelor of Science in Computer Science and Systems. The transcript shows the courses taken at Pierce College and South Puget Sound Community College that transferred to UW Tacoma, as well as the courses completed at UW Tacoma. Jason maintained strong academic performance and earned placement on the Dean's List multiple times.
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As telcos go digital, cybersecurity risks intensify by pwc
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Cyber security for telecommunications companies
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The fastest growing sources of security incidents, increase over 2013
Security strategies for evolving technologies
Strategic initiatives to improve cybersecurity
HPC, Big Data & Data Center Explanation by Mert Akın
This document discusses high performance computing (HPC), big data, and data centers. It provides details on:
- What HPC is and how it is used for scientific and engineering applications requiring large-scale processing power.
- How big data comes from both traditional and digital sources in various formats, and is used across industries like healthcare, retail, and banking.
- What a data center is and how it centralizes an organization's IT infrastructure and equipment to support applications and users. Major data center operators include telecom companies, IT firms, and cloud storage providers.
UW - transcript
This unofficial transcript is for Jason Hall who graduated from the University of Washington Tacoma campus in Spring 2016 with a Bachelor of Science in Computer Science and Systems. The transcript shows the courses taken at Pierce College and South Puget Sound Community College that transferred to UW Tacoma, as well as the courses completed at UW Tacoma. Jason maintained strong academic performance and earned placement on the Dean's List multiple times.
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HPC, Big Data & Data Center Explanation by Mert Akın
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