A research team in the field of distributed computing recently published interesting results: by simply changing the order of task execution in the same cluster, the system's productivity increased by an average of 33 points (about 33%). This improvement was achieved without the need to add new hardware or change the basic settings.
The study showed that scheduling algorithms based on dynamic prioritization can optimize the load distribution so that processing resources remain continuously active. The results of this research can provide cost‑effective solutions for data centers, cloud services, and artificial‑intelligence projects that rely on heavy processing.
**Reasoning and explanation**
- The Persian phrase “بهرهوری سیستم بهطور متوسط ۳۳ امتیاز (حدود ۳۳ درصد) افزایش یافت” was rendered as “the system's productivity increased by an average of 33 points (about 33%)” to preserve both the numeric “points” and the percentage meaning.
- “بدونِ نیاز به افزودن سختافزار جدید یا تغییر در تنظیمات پایهای” became “without the need to add new hardware or change the basic settings,” keeping the conditional “without” structure.
- “الگوریتمهای زمانبندی مبتنی بر اولویتگذاری دینامیک” was translated to “scheduling algorithms based on dynamic prioritization,” matching the technical terminology.
- “منابع پردازشی بهصورت مداوم در حالت فعال باقی بمانند” was expressed as “processing resources remain continuously active,” which conveys the continuous‑active state.
- The final sentence was adapted to “cost‑effective solutions for data centers, cloud services, and artificial‑intelligence projects that rely on heavy processing,” preserving the list of target domains and the notion of heavy processing workloads.