Arithmetic Study about Energy Save in Switches for some Data Centre Topologies

Abstract

Data Centre facilities are rapidly increasing as parallel computing schemes are ever growing. Those kinds of facilities are designed according to different topologies, but many of them are underutilized, leading to energy misuse in many of the switches providing network interconnection for the end hosts. In this paper, some common Data Centre topologies are studied, such as Fat Tree, Leaf and Spine, N-Hypercube and Folded N-Hypercube, in order to find out their performances in terms of energy saving purposes for the same number of hosts hanging on each design, hence obtaining a coherent comparison among them all. It is to be said that each topology has its own benefits and drawbacks, meaning that each one may be the best option depending on the initial conditions of an implementation. However, in the conditions established for steady latency and jitter, it seems that Fat Tree topologies get better results as the size of the Data Centre grows up, whereas Leaf and Spine does it otherwise.

Keywords

• Data Centre
• fat tree
• folded N-Hypercube
• leaf and spine

Veri Merkezi Topolojilerindeki Anahtarlama Aygıtlarında Enerji Tasarrufuna Yönelik Aritmetik Çalışma

Abstract

Paralel bilgi işlem şemaları giderek büyüdükçe, veri merkezi tesisleri hızla artıyor. Bu tür tesisler, farklı topolojilere göre tasarlanmıştır, ancak bunların çoğu yeterince kullanılmamaktadır ve bu durum, son kullanıcı bilgisayarları için ağ bağlantısı sağlayan anahtarlama aygıtlarının çoğunda enerjinin kötüye kullanılmasına neden olmaktadır. Bu çalışmada, enerji tasarrufu amacıyla performanslarını öğrenmek için daha tutarlı bir karşılaştırma yapabilmek için her tasarımda aynı sayıda kullanıcı bilgisayarı ile İri Ağaç (Fat Tree), Omurga ve Kanat (Spine and Leaf), N-Hiperküp ve Katlanmış N-Hiperküp gibi bazı yaygın veri merkezi topolojileri incelenmiştir. Her topolojinin kendi avantaj ve dezavantajları olduğu söylenebilir, bu da her birinin bir uygulamanın başlangıç koşullarına bağlı olarak en iyi seçim olabileceği anlamına gelir. Bununla birlikte, sabit gecikme ve seğirme için belirlenen koşullarda, İri Ağaç topolojilerinin veri merkezinin boyutu büyüdükçe daha iyi sonuçlar elde ettiği, diğer tarafta Omurga ve Kanat topolojilerinin bunun aksini yaptığı görülüyor.

Keywords

• Veri Merkezi
• iri ağaç
• katlanmış N-Hiperküp
• omurga ve kanat

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